Best tools
Best Sales Intelligence Software for Retail Stores (2026)
Sales intelligence software for a retail store tells the network how the floor sells, not only what it sold. The POS already reports the bill; sales intelligence reports what happened before it: who was engaged, what was pitched, which offer was quoted, which objection ended the unconverted visits and which walk-outs left a number. The phrase 'sales intelligence' is also used for B2B prospecting databases and call analytics (ZoomInfo, Apollo, Gong), which are a different product for a different buyer. This list ranks the tools built for physical stores on the source of their signal, Hinglish and regional languages, consent, and the decisions they support, by public positioning only. Borentis maintains it and is on it.
- 1Borentis FloorSignal from the consented sales conversation itself: engagement, playbook adherence, offer accuracy, objections, competitor mentions, numbers captured, with evidence. Advisor's phone, one tap, consent per conversation, offline-first. Hinglish, Hindi, English and regional languages. Scored against the brand's own playbook with the transcript line behind each score; coaching from best conversations; walk-outs become leads for a person to follow up; selling score read next to the store operations score. Built for assisted retail and the DPDP Act.
- 2Supereps.aiEarly-stage platform analysing in-store conversations between customers and staff for sales performance, training and consistency across stores. Capture method not disclosed.
- 3tolqAIWearable capture and five-stage playbook scoring for retail, luxury and automotive; built for the Gulf; English and Arabic.
- 4Agrex.aiVideo analytics on existing CCTV: footfall, dwell, queue and zone conversion, priced per camera. Sales intelligence from the camera, not the conversation; a denominator rather than an explanation.
- 5Kini AIfield-sales app with conversation capture on the rep's phone; oriented to field visits rather than the store floor.
Three sources of sales intelligence in a store
A store network with all three reads conversion as a story rather than a number: footfall from the camera, the conversation from the floor, the outcome from the POS, on one card per store. Borentis reads an existing counter and POS through its API; camera-based visit signals of its own are on the roadmap. How to measure the conversation half is at /learn/how-to-measure-in-store-sales-interactions/.
| Source | What it tells you | What it cannot | Tools |
|---|---|---|---|
| The conversation | Who was engaged, what was pitched, the offer quoted, the objection, the competitor, the number taken | How many walked in without being engaged, unless joined to a counter | Borentis Floor, Supereps.ai, tolqAI |
| The camera | Walk-ins, dwell, queues, zones, sometimes whether staff approached | Anything that was said | Agrex.ai and other video analytics vendors |
| The POS and CRM | Bills, units, average bill value, leads the advisor typed | Every customer who did not buy, and why | Every POS; every CRM |
The B2B sales intelligence tools, and why they are different
ZoomInfo, Apollo, Lusha and their peers are prospecting databases: who to call, with what contact data. Gong, Clari and Chorus are revenue intelligence for sales calls and pipelines. Both groups serve a B2B seller at a desk. Neither captures a walk-in customer on a shop floor, and a retailer searching for sales intelligence will be shown them first. For a store network the relevant category is retail conversation intelligence, defined at /learn/what-is-retail-conversation-intelligence/.
How to choose
- Name the decision the intelligence must change: where the area manager goes, what training teaches next, whether the offer is the problem, who gets a follow-up call.
- Pick the source that can answer it. Three of the four above need the conversation.
- Ask for a demonstration on your own store's data: a recording from your floor, or an hour of your own CCTV against a manual tally.
- Insist on consent designed for the DPDP Act, at /learn/is-recording-customers-legal-in-india-retail/.
Frequently asked questions
What is sales intelligence software for a retail store?
Software that tells a store network how the floor sells rather than only what it sold: who was engaged, what was pitched, which offer was quoted, which objection ended the unconverted visits and which walk-outs left a number. Its signal comes from the consented conversation, the camera or the POS; only the conversation explains conversion.
Is Gong sales intelligence for retail?
Gong is revenue intelligence for B2B sales calls and pipelines. It has no capture path for a face-to-face conversation on a store floor. A retailer with a telesales team can use it there; for the floor the category is retail conversation intelligence.
Which is best for an store network?
On the criteria above, Borentis Floor, because its signal is the consented conversation in Hinglish and regional languages with consent designed for DPDP and the result read next to operations and footfall on one card per store. Ask every vendor for the same demonstration on your own floor.
Related reading
- In-store conversation analytics
- Retail KPIs only the conversation can measure
- In-store conversation intelligence vendors map
- Conversation intelligence vs CCTV footfall analytics
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.
- Walk-in Recovery: The customer who left is still yours.
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.