Top platforms
Top In-Store Customer Interaction Analytics Platforms (2026)
In-store customer interaction analytics comes from three signals: the consented conversation, which says what was said; the camera or counter, which says who came and where they went; and the POS, which says what sold. A platform is only as good as its signal, so this list ranks the platforms by source and by what they produce from it, using public positioning only, and explains how a store network joins the conversation and the camera on one card per store. Borentis maintains the list and is on it.
- 1Borentis FloorAnalytics from the conversation: coverage, playbook adherence per step, offer accuracy, objection mix, competitor mentions, numbers captured, unmet demand, conversion by adherence, with evidence; joined to an existing counter and POS through the API; selling score next to store operations. Captures the consented conversation on the advisor's phone, offline-first, in Hinglish, Hindi, English and regional languages; scores it against the brand's playbook with the transcript line behind each score; coverage on the same screen as the score; coaching from best conversations; walk-outs become leads for a person; selling score next to store operations. Built for assisted retail and the DPDP Act.
- 2Agrex.aiVideo analytics on existing CCTV: footfall, dwell, queue and zone conversion through an on-site edge box, priced per camera; India. A denominator, not the conversation. Analytics from the camera: footfall, dwell, queue, zone conversion.
- 3tolqAIWearable microphone or existing audio; five-stage playbook scoring; location and employee comparison; English and Arabic; Gulf and Middle East.
- 4CognifyzeFixed in-store sensor under signage consent, GDPR referenced; every interaction scored against a five-step playbook; daily coaching per store manager; Europe.
- 5RillaMicrophone worn by the associate; speech analytics on what distinguishes converting conversations; United States.
- 6InStore.aiEdge devices in store; pulse reports, alerts and recognition; US convenience and frontline retail.
Platforms by signal and output
The metrics, the four reports and the join on one card per store are at /learn/in-store-conversation-analytics/. The comparison of the conversation and the camera as sources is at /learn/conversation-intelligence-vs-cctv-footfall-analytics/.
| Signal | Platforms | Analytics produced | Cannot produce |
|---|---|---|---|
| The conversation | Borentis Floor, tolqAI, Cognifyze, Rilla, InStore.ai, Supereps.ai | Adherence, offer accuracy, objections, competitors, numbers captured, unmet demand, conversion by adherence | Walk-ins never engaged, without a counter |
| The camera | Agrex.ai and other video analytics vendors | Footfall, dwell, queues, zones, engagement rate, time to engage | Anything that was said |
| The POS and CRM | Every POS; every CRM | Bills, units, average bill value, leads typed | Anything about customers who did not buy |
How to choose
The twelve demo questions in full are at /learn/retail-conversation-intelligence-platform/, and every vendor is placed by capture method and home market at /learn/in-store-conversation-intelligence-vendors-map/.
- Ask for a transcript and a score of a recording from your own busiest store, in your own languages, against your own playbook.
- Ask how consent is captured and how a customer declines; the position is at /learn/is-recording-customers-legal-in-india-retail/.
- Ask to see coverage by advisor and hour on the same screen as the score.
- Ask for the all-in price per store per month at your store count, and the year-two price, in writing.
Frequently asked questions
What is the best in-store customer interaction analytics platform?
It depends on the signal. For what was said, a conversation platform; for store floors, Borentis Floor on the criteria above. For who came and where they went, video analytics such as Agrex.ai. A store network needs the conversation platform and the counter it already has, joined on one card per store.
Is video analytics customer interaction analytics?
It is the visit half: footfall, dwell, whether staff approached. It cannot analyse the interaction itself because it hears nothing. It supplies the denominator for the conversation metrics.
Does interaction analytics need customer identity?
No. Every metric is per conversation or visit, store and time. A phone number is kept only when a customer gave it for follow-up.
Related reading
- In-store conversation analytics
- Retail analytics: the hub
- Conversation intelligence vs CCTV footfall analytics
- Sales intelligence for retail stores
Where Borentis applies this
- Execution Scorecards: See the floor before the P&L does.
- Objection Intelligence: The reason they did not buy, in their own words.
- Unmet Demand Signals: Demand for what you did not have.
Borentis is the Agentic Operating System for Customer Interactions, built for Indian retail floors: consented one-tap capture on the advisor's phone, every conversation scored against your playbook with the evidence behind every number, leads created when a number is heard, and coaching from your own best conversations.