For CPG leaders, the priorities rarely change: grow revenue, optimise cost and stay compliant. What changes, constantly, is how those outcomes are delivered.
In my conversations with global CPG teams, one theme keeps coming up: Image Recognition (IR) has long been seen as a tactical tool. Faster audits, better compliance and reduced rep workload are all important, but they only scratch the surface.
The truth is, IR’s value goes much deeper. At Neurolabs, we’ve seen that the real ROI comes when companies stop treating IR as a point solution and start treating it as infrastructure. Because when IR is part of your foundation, every image can feed multiple parts of the business from audits, field guidance, replenishment and even commercial strategy. That’s what makes it scalable and transformative. (You can read more in our blog, From Silos to Synergy: The CPG Tech Stack and the Role of Visual AI).
Quick Wins vs. Strategic Gains
One of the reasons IR adoption works for everyone, from companies starting out to the most advanced, is that you don’t need to solve everything at once. This isn't about vendors pushing generic solutions; customers now want technology customised to fit their unique processes. The industry has moved beyond the era of closed solutions and manual audits, which were time-consuming and offered low scalability.
- Quick wins show up fast: automated shelf audits, out-of-stock (OOS) detection, rep benchmarking and compliance alerts.
- Strategic gains build over time: rep sales guidance, predictive Perfect Store scoring, AI-driven replenishment and execution linked to sales and ROI.
Together, these create the foundation for a truly connected retail execution ecosystem, where data is no longer siloed but unified across departments, regions and global markets.
Four Core Use Case Categories
Here’s how IR plays out in practice across the core areas of CPG execution. These categories are lined up in terms of increasing complexity and connectedness, from solving immediate, tactical challenges to enabling strategic, cross-functional decision-making across Sales, Revenue Growth Management (RGM), Supply Chain and Commercial teams.
1. Audit
Replace manual, delayed and inconsistent checks with real-time reporting you can trust. This use case moves beyond a simple, one-off report to a high-precision, automated system.
- Field Sales bonus / variable pay
- Perfect Store execution scoring
- Retail compliance monitoring (planogram, display and promo execution). See How Leading Brands Unlock Significant ROI from POS Displays
- Promotion compliance and ROI attribution
- Share of shelf, competitor product detection and assortment tracking
- Management objectives remuneration
2. Field Force Optimisation
Empower reps with timely guidance, benchmark performance and plan smarter routes. IR can save significant amounts of rep time in store, in some cases up to 50%.
- Automated insights and data collection in-store (save time in-store)
- Improve data accuracy and completeness
- Next Best Action to increase ROI per visit
- Territory planning and visit prioritisation based on opportunity or risk
- Store-level compliance alerts
- Rep performance benchmarking and coaching
3. Inventory Optimisation
Close the loop between shelf and supply chain by detecting phantom inventory, identifying OOS drivers and triggering replenishment.
- Out-of-stock detection and phantom inventory detection
- Planogram compliance for more accurate replenishment
- Automated order generation directly from shelf pictures (Image-to-Order)
- Overstock detection
- AI-driven replenishment triggers and ERP integration
4. Commercial Strategy
Link retail execution to commercial outcomes and inform smarter investments. By integrating IR, companies have reported measurable improvements in demand forecasting, up to 3%.
- Quick visibility-to-insights-to-actions loop
- Assortment and space optimisation
- Market insights from shelf and competitive share analysis
- Tracking innovation launches and spotting underperformance early
- Linking execution data to sell-through performance and trade ROI
- Joint business planning and planogram negotiation backed by IR data
Why Now?
Three converging forces make IR adoption urgent today:
- Pressure on Trade Spend: Every dollar has to work harder and that means proving ROI in real time, not months later.
- AI Maturity: The tech finally works at the speed and accuracy global CPGs need.
- API-first Infrastructure & Agent Force Enablement: Shelf data now flows seamlessly into existing systems (SFA, TPM, ERP, BI) and powers AI-driven agents that support reps, analysts and commercial teams. This API-native model gives enterprises full control over how IR connects with their existing tech stack. (More in The Need for Integrated Visual AI in the CPG Space and From Silos to Synergy: The CPG Tech Stack and the Role of Visual AI).
Next Steps
At Neurolabs, we believe technology should empower people, not replace them, while driving measurable business outcomes. The shift we’re seeing today is clear: Image Recognition is no longer just about shelf execution. It’s becoming a core part of the CPG tech stack, unifying data and enabling teams to make smarter decisions, faster.
The four strategic levers I’ve outlined here are just the beginning. In the weeks ahead, I’ll break down each one in more detail, starting with Audit. My goal is to share what good looks like, how teams are starting and how to move from quick wins to long-term strategic impact. Stay tuned!
To give you a head start, I’ve included a one-page checklist mapping each category to Quick Wins and Strategic Plays. Use it as a guide today and a preview of what’s coming next.
If this resonates with the challenges your teams are facing, I’d love to continue the conversation. You can connect with me on LinkedIn or request a demo to see how a truly integrated CPG tech stack can transform your retail execution.
— Remus Pop, CRO, Neurolabs
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