How Can Retailers Serve Both Customers and Regulators While Enabling AI? Operational Sustainability.

By treating sustainability data with the same transactional rigor as financial accounting, retailers can transform regulatory compliance into a powerful business case—using automated data fabrics to fuel AI shopping agents, close the consumer intent-action gap, and drive top-line growth.

Brand Provided | By Christoph Schroeder | Published 2 hours ago | About a 5 minute read

Image: Photo by Buddy AN on Unsplash

Time was, serving customers and satisfying environmental regulators were unrelated activities – and, sometimes, oppositional forces – in retail. Not anymore.

Today, we are witnessing a convergence. Retailers face increasingly stringent sustainability reporting requirements and, as a result, rising pressure to deploy AI and other advanced tools for more efficient, high-fidelity execution on that front. At the same time, use cases for AI in retailers’ core businesses run the gamut from front-end hyperpersonalization and autonomous shopping agents to back-office dynamic pricing and inventory optimization.

The common denominator for success in this new era is the need for a foundation of harmonized data. By tracking and acting upon sustainability data at the transactional level—with the same rigor applied to financial and customer-purchase data today—retailers can unlock a powerful dual advantage. Seamless, transaction-level insights empower a retailer to:

Boost Sales and Customer Retention: Deliver product-specific, verified sustainability metrics directly on the product page at the moment of choice.
Close the Intent-Action Gap: Match products dynamically to consumers' verified sustainability preferences.
Enable High-Integrity Discovery: Power sustainability-related search filters that eliminate greenwashing concerns.
Fuel Next-Gen Commerce: Give AI shopping agents the high-fidelity data needed to incorporate planetary health into automated purchase decisions.

At many retailers, sustainability reporting needs an overhaul

These sorts of capabilities align with the true purpose of a retailer, which is absolutely not reporting regulatory data to government authorities. Retailers are in the business of creating value, not managing administrative burdens.

While the attitude-behavior gap persists in aggregate, retailers who make sustainability information frictionless at the point of decision are successfully closing it. What’s clear is that modern consumers, particularly Gen-Z customers, are actively seeking brands that mirror their values and the retailers who champion them. Patagonia is perhaps the poster child here, but sporting goods innovator Decathlon and the Schwarz Group—which owns not only the grocer Lidl and the Kaufland chain, but also the recycler PreZero—highlight a critical truth: Authentic, greenwashing-free sustainability is fundamentally good for business.

Of course, sustainability, or at least sustainability reporting, is also a legal requirement. Europe’s Corporate Sustainability Reporting Directive (CSRD) is just one of a few global examples of tightening environmental scrutiny fundamentally shifting the retail landscape.

AI will play a growing role in a retailer’s sustainability reporting

Generally, both consumer-facing and compliance-focused sustainability reporting have been built on manual or haphazardly automated data collection from diverse, siloed sources. Typically compiled well after the fact, these delayed results then fed broad-brush regulatory filings, glossy ESG reports, and marketing efforts touting sustainability at the forest level, if you will.

If the CSRD is any measure, retailers can expect regulators to increasingly look for tree-level specificity at weed-growth pace. Given the current state of fragmented data affairs at many organizations, retailers will be hard pressed to provide such precision without extraordinary, tedious, and expensive effort. To address this, AI tools will become increasingly indispensable in taking over repetitive tasks, automating validation, and bringing a tighter, audit-ready workflow to the enterprise.

At the same time, AI, and agentic AI in particular, promises to enable the kinds of customer-side gains made possible by timely access to fine-grained sustainability data. Consider a concrete example: Drawing on verified, product-level footprint data, an AI shopping agent could seamlessly recommend a lower-carbon alternative to a customer who has opted into sustainability preferences. Operationally, a sharper, real-time understanding of waste, overstock, and logistics-related emissions can lead to cost-saving process improvements. These sorts of benefits are the core goals of operational sustainability.

Harmonized data at the heart of operational sustainability

Operational sustainability is about embedding sustainability data directly into day-to-day operational workflows. Harmonized data is its key enabler. Historically, that would entail unified physical databases (a near-impossibility given the reliance on diverse, legacy systems built around a core ERP) or rigid data warehouses.

Today, harmonized data is fast becoming the industry norm, thanks to enterprise data analytics platforms, also known as data fabric platforms. They provide a virtual, unified data model on top of existing systems, counting among the ERP business’s hottest sellers at the moment—and for good reason.

Harmonized data provides the foundation for retailers to deliver superior shopping experiences while enjoying greater operational efficiency through automated compliance gathering and reporting. Importantly, with a data fabric, operational efficiency can more easily extend into the supply chain. This is where Scope 3 emissions, supplier declarations, and product-lifecycle data play heavily into a retailer’s overall sustainability story, and where, to date, brands have faced their most formidable data-alignment challenges.

Considering all that, the regulatory burdens of the CSRD and similar regulations might just as easily be viewed as a powerful forcing function, leading to better, more resilient business results for retailers who harness technology wisely.

Tracking sustainability data at the transaction level

To exploit this opportunity, retailers must implement data fabrics across systems spanning operations, finance, supply chain, and customer experience. They must embrace highly granular, ERP-embedded sustainability-metric tracking systems—in particular, sustainability footprint management systems and green ledgers—to provide immediate, actionable visibility into how the business is performing against KPIs, whether they relate to regulatory requirements, sustainability-led sales goals, or operational efficiencies.

Perhaps I’m being overoptimistic. But if sustainability reporting must be overhauled anyway, and customers care deeply about systemic accountability—which they do—retailers have everything to gain on this front. Along the way, they’ll be future-proofing their businesses with respect to both evolving regulatory landscapes and shifting customer trends, while providing a richer, high-fidelity trove of data for AI’s currently incalculable possibilities.