Five layers, from a dead-zone-proof recording on the floor to attributed revenue. Most of it is already in production, all of it built for the reality of the Indian retail floor, not a call centre.
Conversation intelligence was solved for the call centre, one clean audio stream, one language, always online. The retail floor breaks every one of those assumptions. That is the problem Borentis is engineered around.
Directional capture at the counter and on the floor, where the highest-value conversations actually happen, not the small share that reaches a call centre.
The network in an Indian store is not the network in a data centre. Capture assumes dead zones and dropped signal, and recovers from them.
Hinglish and 50+ Indian languages, code-switched mid-sentence, not an English-first model retrofitted for India.
Every conversation scored, every day, at every location, replacing the infrequent mystery-shopper visit with the whole floor.
Every layer is owned end to end, so the stack is tunable to your vocabulary, your playbook and your compliance policy, rather than wrapped around a frozen third-party product.
A recording on the floor has to survive what the floor throws at it, dead zones, dropped signal, a force-killed app. Borentis captures in 30-second chunks that persist to a durable on-device queue the instant they are recorded, then sync automatically the moment connectivity returns.
Indian retail is spoken in Hinglish and 50+ languages, switched mid-sentence. Borentis transcribes the real, mixed way people speak on the floor. The transcription engine is abstracted behind one interface, so each client can route to their approved provider.
Every captured conversation is scored 0–100 across the dimensions that actually move a sale, greeting, needs discovery, objection handling, competitor defence, pitch adherence, follow-up and captured intent. Every score traces back to the exact moment in the conversation that triggered it.
A scored conversation is only useful if something happens next. Cadence turns a high-intent walk-in into automatic follow-up in the buyer's own language, and traces every touch back to the conversation that triggered it and the pipeline it produced.
Voice today; vision next. Borentis is built source-agnostic so CCTV footage can be fused with the conversation, footfall, dwell, zone and staff-engagement signals, into a richer picture of the floor. Privacy-safe by design: behavioural signals and consented phone identity, not face biometrics.
From the first hello to the follow-up, Borentis captures, scores and acts on every in-store conversation, one platform where a contact centre would need five, built for the floor rather than the phone.
Every counter conversation, recorded and transcribed in real time.
Every counter conversation, recorded and transcribed in real time.
Consultation quality scored against your rubric, every location, every day.
Consultation quality scored against your rubric, every location, every day.
Conversation data synced with your existing CCTV footage.
Conversation data synced with your existing CCTV footage.
The upsell that was there and missed, surfaced and coached.
The upsell that was there and missed, surfaced and coached.
Frustration caught before it becomes a complaint or a lost sale.
Frustration caught before it becomes a complaint or a lost sale.
Script deviations and missing disclosures, flagged at the counter.
Script deviations and missing disclosures, flagged at the counter.
Sentiment and topic trends that survey programmes never reach.
Sentiment and topic trends that survey programmes never reach.
A single 0-100 execution score, composited from six dimensions of every real conversation, drillable from network to region to store to individual advisor.
Fully configurable. Every dimension, weight and target you see here is customisable, score what matters to your category, your store format, and your playbook. Add your own dimensions; set the bar per region. The Score bends to your business, not the other way round.
Point tools own a single layer. Borentis is the only full-funnel floor-intelligence layer. Premium brands pay five vendors today and still can't answer what happened in-store.
Audio-first, video-ready fusion, a depth no point tool matches, tuned for Hindi, English and code-switched Hinglish, and trained on 100K+ minutes of real store conversation every month.
A live nudge in the exact moment the sale is decided. Every interaction feeds the model, a data flywheel that compounds with every store, every day.
Pre-visit → in-store → post-visit nurture → attribution, in one platform. The martech incumbents are built for digital-first; the in-store signal stays invisible to them, always.
Agents autonomously build, test and optimise across the offline-to-online journey. Reinforcement learning closes the gap static campaigns leave on the table.
High-fidelity capture at the point of sale, mobile or fixed directional microphones, synchronised with on-site CCTV via real-time streams, and offline-first so a dropped signal never costs a conversation.
Language-aware transcription across Hindi, English, Hinglish and regional Indian languages, with sentiment and emotion signals, engine-agnostic and routable to your approved provider.
Fits your stack: legacy telephony, CRM and BI / analytics platforms via REST APIs, with role-scoped access and DPDP-aware data routing.
Every in-store interaction scored, replacing the infrequent mystery-shopper visit with the whole floor.
The same standard enforced across every location, not just the branches head office happens to visit.
Coaching grounded in real customer interactions and real workloads, not anecdotes and a monthly report.
Pharmacy, electronics, FMCG, fashion and jewellery: monitor consultation quality and customer experience across hundreds of locations.
Compliance monitoring and quality assurance for relationship-manager and teller interactions.
Make sure advisory disclosure standards are actually met at the point of sale.
Suitability documentation and quality monitoring for complex, high-consideration consultations.
Route transcription and LLM inference to your approved provider, so data residency and DPDP requirements are a configuration, not a blocker.
Every score links to the transcript segment that produced it. A judgement you can't trace is a judgement you can't trust.
Capability × scope access control means each person, from store manager to CMO, sees exactly their patch and nothing else.
A durable on-device queue and deferred finalisation mean a dropped signal or a crashed app never costs you a conversation.
Bring us a sample of your own store captures. We come back with a Borentis Score, in your language, on your playbook, so you can see the technology work on your reality before any procurement conversation starts.