AI Shelf Analytics Tools for FMCG in 2026
AI shelf analytics has shifted from a pilot feature to a core operating layer for retail execution. The best tools reduce audit time while improving the quality of corrective action in the same day.
Comparison Table
| Tool | Rating | Price | On-device / offline support | SKU recognition | Planogram compliance | Share of shelf tracking | Integrated execution workflow |
|---|---|---|---|---|---|---|---|
ParallelDots (ShelfWatch / InfiViz)Our Pick | 4.6 | Custom pricing | |||||
Trax Retail | 4.5 | Custom enterprise pricing | |||||
StoreSight | 4.4 | Custom pricing | via partners | ||||
Repsly ShelfScan | 4.3 | Custom pricing | |||||
FieldAssist IRIS | 4.5 | Custom pricing |
What to Validate in Pilots
- Image quality threshold: blur and angle tolerance in real stores.
- Recognition confidence: how accuracy changes by SKU density.
- Action latency: time from image upload to manager decision.
- Rep workflow friction: extra taps or steps per visit.
KPI Set for Rollout
- On-shelf availability (OSA) by priority SKU.
- Planogram compliance by outlet tier.
- Share-of-shelf variance versus target.
- Audit completion time per visit.
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Disclosure
This site is created and maintained by the team at Lemmonade, an FMCG field sales CRM. We believe in transparency: when we recommend Lemmonade, we explain why. When another tool is better for a specific use case, we say that too.
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