AI in retail: Why the real ROI is decision speed
- Mar 17
- 3 min read
Updated: Apr 10
Every Monday morning in retail headquarters worldwide, there is a scramble to make sense of last week’s performance. Margins are unexpectedly down. Categories are behaving erratically. Promotions that looked great on paper have flopped. Online and offline channels tell two different stories.
Sounds familiar? You’re not alone.
For modern retailers, the problem isn’t a lack of data or dashboards. It’s the complexity trap that often leads to analysis paralysis. The sheer volume of market volatility and operational pressure has made it impossible for humans alone to translate vast amounts of data into timely, high-quality decisions.
To win, you don't just need more reports. You need a system that translates complexity into action. Here is the flow that makes it possible:
This article is part of a series. We've also discussed why your best AI agent won't come out of the box in retail as well as setting yourself up for success in agentic commerce.
1. The foundation: the connected data platform
Most retailers are buried under "data noise": scattered, inconsistent, and siloed information. A connected data platform acts as the foundation of the translation process.
It creates a single, organization-wide model that links every critical pulse of your business, from customer behavior and market trends to supplier constraints. Enriched by GenAI and collaborative data quality platforms, the connected data twin is a real-time, unified "source of truth" that ensures your decisions are based on reality, not guesswork.
2. The brain: granular forecasting & explainability
If the connected data twin provides the context, the granular forecasting & explainability provides the clarity. This is the engine that filters out the noise to reveal what matters.
A single central (ensemble) forecast eliminates internal friction by giving everyone, from finance to supply chain, one highly accurate view of demand
Anomaly & trend detection instantly identifies subtle shifts in the market before they become expensive problems
Causal understanding moves beyond "what happened" to explain why it happened (e.g., "The margin dip wasn't a demand issue, but a specific COGS increase in region B")
3. The muscle: genAI agents as your operating model
The most critical part of the translation is the Action. Once the Twin identifies an opportunity, GenAI-powered agents act as the "muscle" to execute.
Copilot agents: your on-demand AI analyst. Ask, "Why is my promotion underperforming?" and get an actionable answer in seconds
Human-in-the-loop agents: these agents propose specific, optimized actions, like a refreshed pricing strategy or a precise assortment change. You keep the control; the AI does the heavy lifting
Autonomous agents: these handle routine, high-volume tasks, from evaluating thousands of promos to “should-cost” classifications, allowing your team to focus on high-stakes strategy.
4. The interface: personalized UX
The final step is delivering these insights through a persona-based UI. This is where complexity finally becomes simple.
Tailored insights: every role, from the CCO, category manager, supply chain coordinator to the store employee, receives proactive, relevant recommendations tailored to their specific KPIs
Conversational interaction: instead of digging through spreadsheets, teams use a natural, conversational interface to ask questions and get instant, intelligent answers
Frictionless consumer experience: by speeding up internal decisions, the consumer sees the benefits like fewer stock-outs and localized assortments and prices that reflect their needs
AI in retail: The compounding value of decisive action
The beauty of this flow is that it is a flywheel. Every action taken and every decision made feeds back into the system, making the entire organization stronger and more responsive with every use case.
Retailers who close the gap between complexity and action see real-world results:
Gross sales and margin uplift: through precision-targeted pricing and promos
Stock-out reduction: through granular, real-time forecasting
Faster evaluation cycles: turn weeks of analysis into hours of action
Working capital efficiency: drastic reductions via better inventory alignment
In a market that shifts by the hour, the competitive advantage belongs to the retailers who can translate complexity into decisions at the speed of light.
Want to start moving smarter and faster? Let's talk
Bert Kwanten
Senior Manager Retail & Products
T: +31 638602329
