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A department store carries the environmental cost of its business model on every line of its accounts: hundreds of thousands of items sourced, a store estate to heat and light, and a delivery network built to move parcels quickly. It takes title to the goods it sells and holds the estate it trades from, so the emissions of the assortment and the emissions of the asset base both affect its own accounts rather than a supplier's or a concession partner's. Both therefore belong in the capital plan. Across the sector they are argued instead in the vocabulary of impact, materiality and disclosure — a language with no line in the accounts just described. IADS found the same during its Sustainability Operation Meetings in 2022 and 2023: the strategies were sound with reporting improving every year, and the case still had to be translated before a board would fund it.  

The case has improved because two things happened: institutional investors converted a stated preference into an applied filter, and quantifying environmental exposure stopped being expensive. The obstacle was the cost of building a shared vocabulary. This has now collapsed with the ability of large language models to read a company's disclosures against its financial statements, work that was once laborious but not conceptually hard. The IADS position is that sustainability should now be run as capital allocation, subject to the same tests as anything else, rather than as a communications function with a budget attached.

The translation problem 

Sustainability proposals in retail rarely fail on merit. They fail because a lighting retrofit or a packaging redesign is described by its carbon saving rather than by its effect on gross margin, and the two are never reconciled. Falabella's 38% year-on-year fall in regional Scope 1 and 2 emissions is a case in point: the reduction is reported as an emissions figure, while the energy efficiency and logistics changes that delivered it necessarily moved an operating cost line that isn’t stated beside it. The retrofit was costed in tonnes for an audience that allocates in margin points, and nobody converted it.

Carbon Trust found that a 20% cut in energy costs delivers the same benefit to the bottom line as a 5% increase in sales. A department store — a large, old, centrally located estate trading long hours — is the most leveraged possible case in a sector where retail buildings are already the largest consumers of energy among non-residential buildings in Europe. Yet the number that would move the decision, expressed in points of like-for-like sales, is left unstated.

The reporting frameworks were not built to close this gap and do not. The four pathways by which any investment creates economic value: reducing current costs, avoiding future costs, protecting revenue and securing investor access carry unequal weight for a department store. Each is examined in turn below. Whichever the pathway, a board weighs it on return and risk alone — and a proposal reporting neither is not competing for capital.

Some effects are quantifiable; others can only be argued directionally, and forcing the second kind into a precise number produces business cases that collapse under questioning. A department store commits capital on incomplete data routinely — an autumn buy placed six months out against a weather pattern nobody has, a concession agreement signed on a brand’s own unauditable sell-through projection — quantifying what it can and bridging the rest with argument. Sustainability proposals alone are asked to prove returns to a precision no other category faces. The evidential bar should be the one the store already applies to its buying and refurbishment decisions.

There is a second, larger distortion. The less-sustainable path almost always appears cheaper because the model has not formally priced regulatory exposure, customer or talent backlash, or eventual disposal costs. Pricing those risks explicitly, whether in figures or in stated direction, and then comparing the sustainable option against the fully loaded alternative typically narrows considerably and often closes entirely.

One feature of the department store model makes this translation harder than it is elsewhere. Between 90% and 95% of a retailer's total emissions sit in Scope 3, and the upstream part of that is, in substance, the emissions its suppliers generate in their own operations and their own supply chains. A department store therefore carries, on its own disclosure, a footprint generated inside businesses it does not own — and a single store might account for only 5% of a given supplier's business, which is why no department store changes a supply chain by itself. The consequence for capital allocation is that the pathways a department store can act on alone are concentrated in the small share of emissions it does own, while the exposure an analyst will model sits in the rest. A proposal that does not say which side of that line it falls on is not yet a business case.

The pathways that pay 

Operational cost reduction is the least contestable of the four pathways: energy efficiency across large store footprints, packaging reduction across distribution networks, and waste recovery that removes landfill charges improve margins without requiring any customer to pay a premium. The magnitudes are company-specific and rarely disclosed as savings, which is itself part of the problem. Where described, the mechanism is an ordinary one: a certified zero-waste programme recovering 90% or more of store waste removes landfill charges, reduces handling cost, and turns part of the residue into a revenue line. All of it lands in operating costs in the year it happens.

Avoiding future costs means pricing regulatory schedules: exposure belongs on the balance sheet rather than in a compliance register. Chile’s Extended Producer Responsibility law imposes progressively tightening recovery targets on producers and importers of electrical and electronic goods; obligations with a timetable can be modelled as liabilities, and the question is not whether the business is compliant today but what the schedule costs over five years. The same exercise is available to every member trading in Europe on a longer schedule — five instruments with published timetables, from CSRD to France’s AGEC law, which makes the retailer accountable for green claims made by the brands it carries rather than only for its own. The French retail federation costed AGEC alone at an additional €3.5bn a year across the sector, around 35% more than retailers were then investing.

Revenue protection is the weakest of the four, depending as it does on a customer premium the survey evidence says is not there. Where it holds, it runs through the supply chain — for fashion and home, traceability of inputs. Falabella verifies material composition, certification and documentary traceability from origin for products carrying environmental attributes — a system that also maps where the business is exposed if an input fails. Its limit is the size of the set it covers: verification runs on the products carrying an attribute, while the rest of the assortment — in a department store, most of it — is estimated. Sector practice has been to hold real data for private label and apply category averages everywhere else — so the published figure is a small verified core surrounded by a large approximation. That is true of every such system now in operation, and it is where the residual analytical cost has moved.

Investor access demands demonstrable competence in identifying and managing material risk — in this sector no longer only an investor preference but a contractual term. Sustainability-linked facilities are already in use among large European department store groups, with the bulk of the margin tied to a few KPIs: meet them and the cost of debt falls, miss them and it rises. Where such a facility exists, a lender has already priced the plan and the board follows the KPIs because the financing depends on them: whether sustainability is a financial matter was settled by the loan agreement, not by the sustainability team.

The measurement problem dissolves 

Establishing the link line by line was prohibitively slow until recently, and the evidence that this has changed is still thin with one demonstration worth examining closely. It was published in Harvard Business Review as “AI Can Measure How ESG Really Impacts the Bottom Line”, by professors Robert Eccles and Shivaram Rajgopal mid-2026, applied four widely available large language models to ExxonMobil’s public disclosures. The objective was to test whether AI could take the environmental and social issues a company itself discloses as financially relevant, map them to specific income-statement, balance-sheet and cash-flow line items, and estimate the effect of performance on each. The same analysis had previously been performed by hand, at a cost of roughly 100 hours. With AI, the core work took approximately one hour, and parts of it were completed in minutes. The cost of a financially grounded sustainability analysis has fallen by roughly two orders of magnitudexxiv.

The limits are acknowledged in the work itself: the choice of model mattered, and human judgment remained essential to determine whether outputs made sensex. AI compressed the labour without removing the need for expertise. The exercise also concerns financial materiality — sustainability as value creation for the company — not a company’s total effect on the world, increasingly termed impact materiality. The reporting frameworks conflate the two into a single score, and the sustainability field has borne the credibility cost.

When this capability reaches individuals faster than ratings agencies, standard setters and fund regulators can adapt, the advantage long held by proprietary ESG scores begins to erode, and the centre of gravity shifts from arguing over whose rating to trust toward examining assumptions and dollar consequences directly. Investors, analysts and regulators can now produce a line-item sustainability risk assessment of a listed department store from its own public disclosures, without its participation. The analysis will be performed regardless; what remains open is whether it is performed internally, early enough to change anything, or read for the first time in someone else’s report.

A risk filter instead of a values mandate 

Much retail sustainability strategy still rests on the premise that a rising generation of values-driven investors will reward environmental commitment with capital. Four years of longitudinal survey evidence, covering American retail and institutional investors, indicate that this premise has decayed. In the first year, roughly 70% of younger investors expressed strong concern about climate risk against 35% of older investors. By 2025, that gap had largely disappeared and willingness to sacrifice returns fell as sharply: young investors who once claimed they would accept 6–10% lower returns now report a tolerance of around 3–4%, indistinguishable from their eldersxxx. Support for fund-manager activism has fallen to roughly one-third of young investors, again broadly equal to older cohorts. ESG support proved far more elastic than commonly assumed.

The same decay is visible on the demand side. Two thirds of Gen-Z shoppers say they are more likely to buy from a retailer with strong ethical credentials; the premium they will actually pay for a sustainable garment has been measured at around €3. A department store cannot fund a transition costed in points of turnover out of a €3 premium: stated preference is high, revealed willingness to pay is not, and a plan resting on the first will be repriced by the second. ESG still matters to capital markets, but as a risk screen rather than a values mandate — a narrower and more reliable role.

Most consequential is the asymmetry in how institutions apply the filter. Poor ESG characteristics can disqualify an investment with otherwise strong fundamentals, while strong ESG credentials rarely compensate for weak financials. For a department store the implication is a spending rule: if the upside of an excellent sustainability narrative is bounded and the downside of an incoherent risk position is not, then money spent on communicating sustainability is money spent against a capped return, while money spent on identifying and managing exposure is money spent against an uncapped loss. The budget should follow that asymmetry, which in most retailers means less reporting and more analysis. Programmes built on stakeholder goodwill are fragile, because goodwill is procyclical and the survey data show it contracting under economic pressure. The likely consequence is not a loss of access to capital but a slow repricing of it. McKinsey and EuroCommerce put the cost of the sustainable transformation at 0.4% to 0.9% of European retailers’ turnover, inside a total transformation requirement of 4.4% to 5.2% against the 3.6% the sector was then investing — €315bn to €615bn across Europe by 2030, in an industry where turnover per square metre has been falling. At that scale the allocation question is not whether to spend but on which side of the asymmetry, and there is no version of the answer in which the communications line grows.

Producing sustainability performance 

Amazon’s packaging programme in Australia shows AI applied not to measuring sustainability performance but to producing it. Shipping goods without additional packaging was constrained by whether a product could travel safely in its own retail packaging, requiring manual review item by item. Amazon deployed a tool that makes that judgement from product data, and reports adding 12,000 products in a single month, that took manual work almost 18 months to accomplish. These are unaudited company-reported figures but the mechanism remains transferable.

The saving is genuine on two counts: the tool determines the minimum packaging consistent with undamaged delivery, so it is not damage cost shifted onto customers, and eliminating an outer box removes material, weight and handling cost — the saving lands in materials and freight whether or not the carbon is ever priced. AI did not invent the packaging strategy; it removed the assessment bottleneck that had kept it sub-scale.

The objection is that Amazon owns the product, the product data and the logistics, and can therefore decide on its own that an item ships in the box it arrived in. A store trading concessions and third-party brands holds no such authority over most of what it sells, and for that part of the assortment the mechanism does not transfer at all. It transfers to private label — up to 30% of turnover in some houses and considerably less in most — the single category in which the product specification, the supplier relationship and the packaging decision sit in the same hands, and where department stores have already done this work by hand, at the pace hand-work allows. Macy’s has reported cutting box volume, waste and virgin plastic use by half on the same logic.

Falabella: from principle to practice 

The most detailed department store case available is also an unfinished one. Falabella Retail’s 2025 sustainability reporting — still in draft, with its regional policy awaiting board approval — makes environmental performance a condition of its omnichannel strategy, over the period of which the company reports moving from a US$200 million operating loss to a US$200 million profit. Falabella frames sustainability operationally in its sustainability report, which is not a neutral venue, and which earns its credibility from the  numbers rather than from the framing.

The link runs through physical infrastructure. Falabella’s regional network — 290,000 square metres of logistics estate moving 30.9 million e-commerce parcels a year — is built for service speed and is also where the environmental gains are won or lost. Regional Scope 1 and 2 emissions fell 38% year on year, achieved through energy efficiency, renewable transition and changes to how stores and logistics centres are run, against a Net Zero 2035 commitment at group levelxlv. The same assets carry the service proposition and the intensity improvement, which is why this part of the investment case requires no customer premium: faster fulfilment and lower emissions per square metre are outputs of the same operational discipline.

While intensity per square metre fell 13%, Falabella’s total emissions rose 19% against 2024 — driven mainly by higher commercial activity feeding through to emissions from the purchase and use of products sold. This is the more useful disclosure of the two, and by some distance: it states a problem no growing retailer has solved, in that intensity and absolutes move in opposite directions because the efficiency gains land on owned assets while the emissions land on sold products. Falabella’s method — targets, measurement and scalable decisions rather than an accumulation of initiatives — does not resolve this divergence: a target on intensity and a target on absolutes cannot both be met by a growing business.

The IADS position is that the two numbers are not both achievable on the current department store model, and that saying so is more useful to a board than another target. If the great majority of emissions is generated by the goods sold, absolute emissions are a function of volume, and a growing store cannot reduce them by running its own assets better. Efficiency lands on the estate; emissions land on the assortment. Falabella’s disclosure makes that visible. The exit usually proposed is circularity, and its most ambitious form is untested. Selfridges’ target of 45% of turnover through rented, refurbished, recycled or resold goods by 2030, from 1% when it was announced, is the right bet even if it is missed. It has not cleared the margin test: at that share of turnover the mix effect on group gross margin is material, and it has not been published. Until then, the defensible position is to be judged on intensity, to disclose absolutes without softening them, and to say which of the two the business is running. A board that has chosen is in a better position than one that publishes both and commits to neither.

The tools required to quantify exposure and construct a case a CFO will accept now run on commercially available models applied to disclosures the company already publishes, at a cost measured in analyst hours rather than consulting engagements. For a department store the constraint is no longer whether the number can be produced but whether anyone in the building is accountable for producing it. The obstacle is now that no one owns the calculation: sustainability teams lack the financial mandate to produce it and finance teams lack the environmental data to check it. Tax is overlooked here as sustainability investments routinely involve credits, depreciation and incentives that never reach the business casel. And the test a CFO should apply is not whether the return is high but whether it was measured on the same basis as the rest of the capital plan.

Analysing what a company discloses is now cheap, acquiring what it does not yet know is not. Reading a set of accounts against a sustainability report is a closed problem with every input present; obtaining primary data from several thousand third-party brands and suppliers is an open one, and as recently as 2023 department stores were still assembling it in spreadsheets, without a traceability tool that covered their needs and without an agreed standard for exchanging Scope 3 data between companies. The measurement excuse has expired for the part of the picture the company controls; for the rest it has become a budget line — and the money that used to go into reporting is the money that should now go into acquiring the data the reporting has been approximating.

What damages financial performance is not sustainability spending but sustainability risk nobody has priced. The reason to do the calculation first is that someone else will do it, using the same disclosures, and a board that has not seen the result before an analyst does will be answering questions rather than asking them

Credits: IADS (Anchita Ranka)

What: AI-driven dynamic pricing is being marketed to food retailers with claims of 2 to 3 percentage points of margin gain, while Canada's three grocery majors publicly rule out the practice.

Why it is important:  The margin case for AI pricing is now quantified and vendor-ready, which shifts the decision from technical feasibility to a deliberate choice between short-term yield and price-trust positioning. 

The pitch came from a Quebec firm at the ALL IN conference in Montreal, which claimed to have lifted a global retailer's profit margins by 2 to 3% through AI-assisted forecasting and dynamic pricing, replacing a strategy that ignored local sensitivities and short-term competitive moves with hourly per-store forecasting. Vendor staff framed the application defensively, citing regional markdowns on slow-selling trousers or celery nearing waste, both standard inventory management. The concern is what happens when the same system identifies a profitable pattern, such as raising rotisserie chicken prices on busy evenings in young-family neighbourhoods or lifting raspberry prices when a competitor runs out of stock.

Metro, Loblaw and Sobeys all confirmed that no dynamic pricing is in place online or in store, and that they do not intend to introduce it, with Loblaw citing customer expectations of fair and consistent prices. Walmart did not respond. In the United States, a Consumer Reports investigation found Instacart prices varying by up to 23% between customers, a practice since discontinued, and a bill now targets electronic shelf labels and surveillance pricing. Canada's NDP motion against personalised dynamic pricing was rejected the same day it was tabled.

IADS Notes: The Quebec vendor's pitch sits inside a debate already well documented. Electronic shelf labels have been defended as pure accuracy infrastructure, incapable of surge pricing or customer tracking, according to NRF in March 2026, yet the same hardware underpins Walmart's machine-learning pricing patents and its rollout across 4,600 US stores, reported by the Financial Times in March 2026 at a moment when several state legislatures were proposing grocery dynamic-pricing bans. Where prices are set from personal data rather than from local demand, the Financial Times noted in May 2026 that the practice attracts both consumer backlash and regulatory attention, and New York has since banned it outright, as Reuters covered in June 2026. The commercial conclusion drawn by The Robin Report in June 2026 is that the reputational and legal exposure now outweighs the margin gain, which is precisely the trade-off the Canadian grocers have resolved in public.

Could AI push up prices right before you buy dinner?

What: Mastercard's global survey reveals a generational split in AI shopping trust: 27% of teens say they'd let a fully AI-run assistant shop for them, versus 16% of parents, with nearly a third of teens trusting AI recommendations over a friend's.

Why it is important: As retailers race to build the "agent-ready" platforms agentic commerce demands, Mastercard's data suggests the harder barrier — consumer trust — is dissolving fastest exactly where it matters most for long-term customer relationships: with teens.

Mastercard's survey of 26,000 parents and teens points to a generational shift in AI-assisted purchasing. Some 27% of teens say they're likely to use a fully AI-run shopping assistant that recommends, selects and buys on their behalf, versus just 16% of parents. Nearly a third of teens trust AI product recommendations over a friend's, and 23% trust AI advice over their own parents' guidance. The generational gap extends to expectations: two-thirds of parents expect AI shopping to define their children's generation, but only 5% expect the same for their own. Teens are also heavier users of AI for everyday research, with 62% turning to it monthly versus 49% of parents.

"AI increasingly helps people decide what to buy; tomorrow it will help do the purchasing for them too," said Brice van de Walle, Mastercard's EVP of core payments Europe. Retailers are already building for this shift: Home Depot has extended its Magic Apron assistant with local store data, Williams-Sonoma is deploying AI across discovery and checkout, and Target has added AI-powered photo search and review tools. KPMG separately found over half of retailers spend $50 million or more annually on digital technology, though 48% cite technical debt as a barrier to further investment.

IADS Notes:  Mastercard's findings echo a pattern already documented at the retailer level. Macy's introduction of its "Ask Macy's" assistant drove users to spend nearly 400% more than non-users (Fortune, March 2026), and Falabella's 60% increase in technology investment has generated more than $78 million in AI-referred sales and over 20% logistics efficiency gains (Perú Retail, September 2026), showing that AI spend is already converting into measurable revenue rather than experimental cost. The infrastructure shift behind teens' growing appetite for a fully autonomous shopping agent is also under way, as agentic commerce pushes retailers to build "agent-ready" platforms capable of handling product search, comparison and purchase decisions on shoppers' behalf (Journal du Net, August 2026). Mainstream adoption nonetheless still hinges on the generational trust gap the survey highlights: earlier reporting found that consumer trust and satisfaction with existing shopping habits remain the primary barriers keeping AI shopping agents from going fully mainstream (BoF, October 2025).

Teens start to trust AI recommendations more than friends, parents

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With increased competition, the proliferation of discounts and the relentless launch of new brands, the beauty model in department stores is under strain. The traditional brand counters on the ground floor are no longer enough for customers seeking agnostic advice. For Falabella, Latin America’s largest department store group with operations across Chile, Peru and Colombia, the answer is Beauty F. In November 2025, they launched this new format, a new in-house beauty space inspired by the Sephora and Ulta Beauty models, built within the department store and then becoming a standalone business. This article analyses Falabella’s bet. Early results show it could help department stores maintain their leadership in beauty, but the investment intensity remains a challenge to building a specialist retailer within a department store. But beyond beauty, Beauty F tells a story of transformation. 

The strategic problem: the new pace of beauty 

How small brands are rewriting the rules of the beauty shelf

Large French-heritage brands occupying department store entrances (such as Hermès, Chanel and Dior) and conglomerate-owned brands (such as L’Oréal’s Lancôme or Puig’s Jean Paul Gaultier and Rabanne) have been successful traffic builders for decades. While they remain beauty floor anchors, as department stores still show to this day, the rise of small, indie beauty brands threatens this old model. Customer habits have changed as brand loyalty erodes, with 70% of consumers worldwide in 2025 having switched brands because they enjoy experimenting.

With more than 25% of all new brands launched in the U.S. being beauty brands, the impact on beauty retailers is significant: conglomerates' market share was 71% in November 2024 and 68% in 2025, with indie brands growing 3% at their expense. Not long ago, they were a niche market with a reduced following. They are now becoming a segment, even though most fail to scale beyond a US$1-US$50 million turnover bracket. In 2024, indie brands grew +22.3% vs. only +6.1% for conglomerates such as L’Oréal and Puig, accelerating from +16.1% the prior year and continuing to siphon market share. Emerging players spark curiosity and drive volume while conglomerates rely more on price increases: specifically, 62% of indie beauty dollar growth stems from more shopping trips, and 64% of conglomerate dollar growth stems from price increases. Overall, indie brands are growing across all beauty categories even though conglomerates still own the lion’s share.

The wake-up call: the agnostic model 

These numbers show how consumer behaviour has shifted, from relying primarily on the Maybelline, Dior or Chanel of the world to expecting renewed brand diversity. In the meantime, Sephora and Ulta Beauty had trained consumers to expect a free-flowing, agnostic experience with open shelves, product testers, expert advice, and constant discovery of emerging names. Even though department store beauty counters, managed by brands, cannot replicate this agnostic model, transforming traditional models into more open, experiential spaces has become a growing concern. So far, however, the question has been more about how to best adapt to this trend than about transforming the floor and the business model.

Falabella is a regional leader, with an average selective market share of approximately 50% across Chile, Peru and Colombia, leading in the fragrances, makeup, and skincare categories. Yet this traditional method of measuring brand power masked a strategic vulnerability. For sure, the department store was capturing significant rental income and foot traffic. But by acting more like a landlord rather than a retailer, the department store was giving customer relationships, brand curation, and trend agility to brands and other beauty retailers. So the risk was losing beauty market share and the younger, trend-engaged consumers most likely to drive the next years of retail growth, as Gen Z is the generation most structurally aligned with indie and new brands. Instead of merely adapting, Falabella gave a structural and strategic answer with Beauty F, facing the challenge of giving up the traditional rental and safer model.

The context of the local cosmetics market reinforced the potential for a beauty rethink. The Chilean beauty market reached US$443 million in 2025, projected to grow by over 10% by 2035. On its side, with a market reaching US$418 million in 2025, Peru maintains an estimated annual growth rate of 6-8%, driven primarily by the dynamism of the skincare and makeup segments. Colombia’s US$264 million market is expected to grow by over 4% by 2035.

Building a beauty retailer from within: Falabella's Beauty F and Glow Bar

Curation, staff and ownership: a beauty retailer built from scratch

Rather than awaiting the arrival of Sephora (both a recurring expectation and a threat to other beauty retailers), Falabella designed and built its own specialist beauty formats, operated fully in-house, on its own terms: Beauty F in Chile and Colombia and Glow Bar, a local adaptation for Peru.

Both formats share the same architecture: an enclosed space within a Falabella department store that functions as a standalone retail business rather than a leased corner or a collection of brand concessions.

A few ownership-based principles distinguish the model from the rest of the department store beauty floors:

• Closed space with a single-entry point.
• Open-shelf layout integrating testing stations, intuitive navigation, and on-floor advisory zones.
• Own sales force, with all staff across every Beauty F and Glow Bar location being Falabella employees, trained beauty specialists, not brand-supplied promoters with competing loyalties.
• Own imports with Falabella dealing directly with brands, importing and curating a much wider and faster-rotating selection.
• Private brands fully controlled by Falabella.
• Focus on younger, trend-driven, celebrity brands with Beauty F opening with over 100 brands across skincare, makeup, fragrances, hair care, and dermo-cosmetics, including a dedicated K-beauty section. Critically, 80+ new brands have been added since launch, of which 15 were first-time entrants to the Latin American market. Hero names, Rare Beauty, The Ordinary, Drunk Elephant, coexist with emerging labels discovered through social media trend cycles.
• Flexible assortment and presentation, as in some cases, legacy brands like MAC have been moved inside the Beauty F space, with the rationale that the concept avoids replicating items (each SKU is either inside Beauty F or in the rest of the beauty floor, not in both). Most brands offer no personalisation, but some, like Fenty, have a branded presence inside.

While Falabella still has traditional beauty counters, this model is that of a specialist retailer, implying additional complexity of managing different business models. Additionally, developing Beauty F is part of Falabella’s strategy to become a specialist in beauty, sports, home equipment, and fashion (particularly with its private labels), through separate business units and P&Ls.

Experience design as a commercial tool

The decision to enclose the space is experiential and commercial, not only operational. A high-touch beauty experience runs on a different register than the rest of a department store floor. Spanning 80 to 250 sqm, depending on location, Beauty F is designed around different sensory dimensions: its own soundtrack, distinct from the ambient store environment; a signature scent that creates a fragrance customers associate with the format; and warmer, more theatrical lighting, consistent with prestige beauty standards.
A single monitored entry point signals the transition into a different, specialised space. It also addresses a critical operational reality: beauty is among the most shrink-exposed categories in retail. A controlled threshold is both a material loss-prevention tool and an experience marker.

Proof of concept: what Beauty F has delivered so far

Beauty as a win-back and recruitment engine

One of the most commercially significant Beauty F successes is re-engaging customers who had been absent from Falabella stores for more than 12 months. The customer profile that Beauty F is attracting is 85% female and around 20% aged 18-35, a cohort that has largely abandoned the traditional department store beauty experience. Overall, as Falabella reported to the IADS, the share of young customers and new customer acquisition both doubled since the format launched, and new brands introduced through the format are contributing significantly more than the legacy assortment. The average basket is CLP40,000 ($43, approximately two products per transaction), indicating an engaged purchase rather than a transactional visit. Finally, e-commerce already accounts for a significant share of the Beauty F business.

The speciality beauty format is functioning as a CRM tool, reactivating dormant customers and introducing new demographic segments to the Falabella ecosystem. At a time when customer acquisition costs are escalating and loyalty is increasingly fragile, the ability to generate new visits and convert them is a powerful argument to justify the investment the format requires.

From pilot to platform: from one to 15 locations in nine months

Falabella set Beauty F up as a separate, startup-like company with its own leader and staff. When they opened Beauty F inside Parque Arauco in November 2025, it was presented as a cosmetics and personal care shop-in-shop format, a specialist zone within the department store. In July 2026, Beauty F had 10 stores across Chile and Colombia, with 9 more coming; Glow Bar had 5 in Peru, with 4 more coming, targeting upper-market segments where there is no Falabella store presence. This pace of expansion from zero to fifteen locations in under nine months is possible because the group retains full operational control. The specialist model, kept fully in-house, scales on the group’s own timeline. Falabella sees the standalone ambition as a natural evolution of the project. As a result, a standalone Beauty F is no longer a feature of the department store; it is a competitor in the speciality retail market, occupying the same category space as local beauty retailers such as Aruma and Dermotienda, two of Peru’s most important beauty retailers. This trajectory poses a direct question: when does an internal speciality format become a spinout competitor to the very department store to the point where it could cannibalise the traditional beauty floor? Beauty F is believed to have the potential to transform beauty for Falabella. By becoming a standalone beauty brand, Beauty F is expected to strengthen the traditional beauty floor, benefit the department store’s overall ecosystem, and create a precedent for its international peers. 

The operational friction behind Beauty F's early success

Even successful, the new beauty format comes with operational challenges. CapEx intensity is high due to investments in fixtures and architectural elements, which decreases profitability and limits scalability. A lighter CapEx version is needed to extend the concept without diluting returns. With no comparable historical baseline figures, inventory management and forecasting at launch have been a challenge. In addition to the inventory-related financial burden, stock-outs at the time of opening damaged both the customer experience and commercial performance. Beauty F’s curation is oriented toward selective and prestige brands. Meanwhile, high-frequency, convenience-driven categories such as dermo-cosmetics are underrepresented, creating a missed opportunity to increase frequency, an assortment question for the next openings. Finally, even though the enclosed format reduces retail crime, the smallest and highest-value SKUs still require dedicated product-level staffing, adding costs. 

Beauty F and Glow Bar are an argument about ownership of space, customer relationships and brand curation. The early results support the premise. Dormant customers are returning, younger demographics are engaging, new brands are performing above expectations, and formats are expanding at a pace few in-house retail projects achieve. Yet Falabella is not the first department store to pursue a beauty spin-off strategy and claim success for it. In 2020, Harrods launched H Beauty, a new concept of standalone beauty boutiques designed to attract younger customers and to claim territory before Sephora entered the market in 2023. Six years later, results are mixed, as exemplified by the absence of new openings and the recent Bristol store closure. The UK beauty market is certainly crowded with department stores and multi-brand retailers such as Space NK, Boots, Lookfantastic, Superdrug, Cult Beauty and Sephora. But also, H Beauty did not transform the beauty model as it mostly operated as a smaller department-store beauty floor with branded boutiques and a multi-brand attempt, mixing own-bought brands and concessions. Functioning as a startup company with its own staff, store concept and merchandise, Beauty F is about transformation. If Falabella’s bet proves right, Beauty F could be more than a retail success story. It could be a renewed way of selling beauty and, for a legacy department store, a beacon of retaining leadership in the beauty category.  

Credits: IADS (Christine Montard)

Key Takeaways

• Computer use inverts the software relationship, and the target is zero data entry. AI can now operate the software a company already runs, including legacy systems, CRM and 3D tools. After forty years of humans using software, the relationship inverts: people review output rather than type input.
• A company that cannot query its own data in minutes does not own that data. The company that claims to know everything about its customers then needs days or weeks of ERP and CRM extraction to produce anything, in fact holds the keys to the jail without access to the value inside. Two visible symptoms: meetings that exist only to synchronise data between teams, and reports senior managers spend hours producing.
• Every decision environment built on AI needs a declared expiry date. An AI trained on how one decides today will not encode the right logic in six or twelve months, and nothing in the tooling signals when that moment has passed.
• Marketing moves from touch points to task points, and the funnel collapses to two steps. Personalisation as “show me the relevant part of your catalogue” gives way to the customer sitting at the centre of the process. The unit is no longer a step that draws the customer toward the brand but a task handed to an AI, with the brand present.

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IADS Conference Report - Paris Connect by Retail Hub: AI adoption and the agentic web

Key Takeaways

• The thirteen-month buying commitment is the structural fact that indicts full-ownership merchandising. In December of any given year, the old Debenhams was already committing to, financing and manufacturing product for the Christmas thirteen months away. Finley's question (how can any buyer know what a consumer will want thirteen months in advance) is a critique of merchandising and working capital that applies to any department store running a full-ownership model, however profitable its stores.
• The marketplace mechanism removes inventory risk, produces a “100% gross margin”, and removes proprietary curation with it. Facing the trade-off that the model removes curation through buying, and control of the physical experience, Finley's answer is that curation migrates into the algorithm, supported by personalisation and targeting. The session did not test whether an algorithmic curation layer can carry the authority of a 248-year-old brand.
• 95% against 5%: marketplace as the business, not as a channel. Asked about the marketplaces launched by Next and Marks & Spencer, Finley welcomed the competition then drew the distinction: for them marketplace is priority five or priority ten, somewhere between 1% and 10% of the business; for Debenhams the aspiration is around 95%. He framed the difference as cultural and structural rather than a matter of channel mix: a marketplace bolted onto a retail culture does not become a marketplace business.
• The AI gains Finley can evidence are in the back office, not the shop window. While he expects the consumer experience to evolve rather than transform, for him the demonstrated gains are operational: markdown decisions now taken line by line in minutes with individual price and margin optimisation; product content for 25,000 to 30,000 partners' products is expanded from five attributes to fifty, with static imagery converted to video in seconds.

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IADS Conference Report - NRF Europe: Debenhams and the digital-only department store

Key learnings from the workshop

Companies no longer face a clean choice between political engagement and neutrality. They act inside a context already shaped by distrust, competitive pressure, conflicting social expectations and tightening regulation. Five points carry over to our sector.

• Neutrality is no longer passive. Once activism becomes the norm, declaring neutrality is itself a position. It can be defensible, but only if it is asserted, justified and practised consistently, rather than used as a way to avoid the question. For a format that sells across the whole of a society rather than to a narrow segment, this is a key choice: not whether to speak, but whether silence has become legible as a choice, and to whom.
• Sincere action earns little moral credit by default. Even principled corporate decisions are read cynically. The workshop's response was procedural rather than rhetorical: transparent decision criteria and clear justification are what allow an observer to distinguish principled engagement from opportunism. The credibility comes from the process, not from the statement.
• Decisions are made by people in a room, not by "the company." The organisers pressed the micro-foundations of corporate choice (who sits at the table, whose incentives dominate, whether an ethical voice is present at the point of decision or relegated to an advisory function). This shifts attention from public positioning to the quality of internal governance.
• Size changes the rules. Formal procedures, ethics functions, reputational exposure and lobbying capacity all scale with the organisation. Large firms hold a structural advantage in regulation (legal complexity and access to institutional channels favour the better-resourced), which is useful when they resist poorly designed rules, but shades into regulatory capture when they are the only actors able to shape them.
• Codes and pledges have practical, not just symbolic, value. When adopted seriously, a set of commitments gives a company a framework for justifying decisions, explaining refusals, and regulating its own participation in public debate — provided the ethical voice sits at the strategic table rather than at its margins, and provided commitments are allowed to vary across national contexts and locally contested issues.
  The organisers framed the open question as whether companies can still claim or reclaim an "apoliticality" — and, if not, through which procedures, with what justifications, within which limits, and in what forms they may legitimately intervene in public controversy.

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AGORA: The politicisation of business and the department store format

Key Takeaways

• Online has found its ceiling; the channel battle returns to physical retail — fewer, bigger, direct. Online appears to have reached its long-term market share of 20–25%, and outlets were the only channel to grow last year. The race to retail is accelerating (more directly operated stores, less wholesale) fuelled in part by American department stores cutting selling space by 10% between 2024 and 2025, while brands reconfigure toward fewer but larger, experience-led flagships.
• The American fault line is the wholesale model, not the market. Challenged by IADS on the contradiction between US department stores' difficulties and the American market's rebound, Bain separated market trend from player-specific management issues and pointed to structure: where Europe moved to concessions and brand-operated store-in-store, the United States remains on a wholesale model in which the department store carries the risk, hence sharply divergent results among players.
• Profitability is back at financial-crisis levels. 2025 margins returned to their 2009 level of 15–16%, with every P&L line inflating at once — tariffs, labour, rents, event-driven marketing, ballooning AI budgets and the carrying cost of post-COVID excess inventory. Roughly 20% of the profit generated between 2021 and 2025 evaporated within months.
• Customers have adopted AI faster than the brands selling to them. Bain's survey of 1,500 recent luxury buyers puts AI in the purchase journey for 27% of clients in France, 54% in the US, and 64% in China — rising with basket size — and 97% intend to use it again. Brands are behind: customer-facing use cases have not progressed since 2024, and luxury's AI adoption stands at roughly a third of retail's level and a quarter of consumer goods'.
• GEO is the new visibility battle — and scale earns no premium. 70% of luxury-related prompts mention no brand at all, delegating the recommendation to the engine, yet LLM responses omit brand websites in 90% of watch queries and 95% in beauty. Among the 30 most visible brands on LLMs, 70% of majors under-index their market share while specialists dominate the rankings. Unlike SEO, GEO cannot be bought — at least not yet — and only 10% of houses rate themselves good at it.
• The next local-brand wave is predictable, and India could be a candidate. Bain's emergence pattern (25 years of maturation in China before the current explosion of national brands, K-beauty's leap from home market to global conquest, J-beauty never scaling for demographic reasons) points to a probable emergence wherever labour, ancestral know-how and quality raw materials combine, with "Indian beauty" framed as the third wave after K-beauty.

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IADS Conference Report - Bain & Company: Luxury Panorama, 2026

Click below to access the presentation and other materials:

Luxury in 2026, from resilience to reinvention
Winning over the customer in the age of AI: A new horizon for luxury
Global luxury stabilizes amid compounding disruptions as brands race to amplify meaning and rebuild relevance