borentis

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

1. 9/13/2026

   Updated: best for, features, limitations, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Retail floor managers and sales teams in Indian retail environments seeking to enhance sales conversation effectiveness and revenue."]

   After: ["Businesses needing multi-language support including Hindi, English, and Hinglish for in-store conversation analysis."]

   features

   Before: ["Real-time recording and transcription of every counter conversation.","Consultation quality scoring against custom rubrics at every location daily.","Integration of conversation data with existing CCTV footage for enhanced analysis.","Detection and coaching on missed upsell and cross-sell opportunities.","Identification of dissatisfaction signals to catch frustration before complaints or lost sales."]

   After: ["Real-time recording and transcription of every counter conversation on the retail floor.","Quality scoring of sales consultations against a retailer's rubric at every location daily.","Integration of conversation data with existing CCTV footage for enhanced insights.","Detection and coaching on missed upsell and cross-sell opportunities to recover revenue.","Identification of dissatisfaction signals to catch customer frustration before complaints or lost sales occur."]

   limitations

   Before: []

   After: ["Requires advisor adoption to tap their own phone for conversation capture, which can affect coverage."]

   sources

   Before: [{"url":"https://borentis.com/","label":"Borentis, Retail Conversation Intelligence for Indian Retail Floors"}]

   After: [{"url":"https://borentis.com/","label":"Borentis, Retail Conversation Intelligence for Indian Retail Floors"},{"url":"https://borentis.com/learn/in-store-conversation-intelligence/","label":"In-Store Conversation Intelligence: How It Works, What It Costs, What to Ask a Vendor | Borentis"}]

   summary

   Before: "Borentis is an AI-powered platform designed for Indian retail floors to capture, score, coach, and follow up on every in-store sales conversation. It integrates audio and video data to provide real-time conversation capture, quality scoring, and actionable insights to improve sales performance across multiple locations."

   After: "Borentis is an AI-powered platform designed for Indian retail floors that captures, transcribes, and scores every in-store sales conversation in real time. It provides quality scoring, coaching, and follow-up capabilities to improve sales interactions and revenue, supporting Hindi, English, and Hinglish languages, and works online or offline."

   useCases

   Before: ["Improving in-store sales conversation quality and coaching sales staff based on real customer interactions.","Monitoring and enforcing consistent quality standards across multiple retail locations."]

   After: ["Improving sales conversion and average order value through evidence-based coaching and real-time pitch guidance.","Monitoring and scoring every in-store interaction to replace infrequent mystery shopper visits with comprehensive coverage."]

   walkthrough

   Before: ["Sense: Capture every signal including audio, video, field staff input, and CRM data into a unified shopper profile.","Decide: Score shopper intent from 0-100 per session to prioritize outreach channels and timing.","Act: Execute communications autonomously via WhatsApp, SMS, email, and voice triggered by real in-store intent."]

   After: ["Notice and consent are obtained via signage and advisor disclosure, with recording locked until consent is recorded.","The advisor taps once to start and once to stop recording on their own phone; the system works offline to avoid losing conversations in dead zones.","Transcription uses speech recognition tuned for Indian English, Hindi, and Hinglish with speaker separation; audio is deleted once the transcript exists.","Scoring assesses the transcript against the retailer's playbook steps such as greeting, need discovery, objection handling, and asking for the number.","Actions include lead creation if a number was shared, intent scoring, extraction of objections and competitor mentions, and same-day visibility for advisors and managers."]