A store manager who knows which shelf went empty before a single customer complained. A regional VP who spots the underperforming store in seconds — not next month's report. A CEO whose entire chain is live in one dashboard. This is AI-powered retail.
See How It Works →AI-powered personalisation and demand forecasting can increase retail revenues by 15–20% while reducing costs by up to 30%. McKinsey & Company — Retail Personalisation Report →
From customer footfall to full-chain command — every layer of your retail operations, made intelligent.
Real-time visitor counting, heatmaps, and dwell time analysis across every zone and aisle.
AI-driven stock level monitoring with automated replenishment triggers before shelves go empty.
Store-by-store revenue dashboards with live anomaly detection and trend forecasting.
Customer journey mapping, product interaction insights, and conversion funnel analysis.
Peak-hour coverage analysis, task completion tracking, and workforce allocation intelligence.
Real-time shrinkage detection, suspicious behaviour alerts, and policy violation monitoring.
ML models predicting demand by SKU, store, and season to eliminate stockouts and overstock.
Unified visibility across your entire store network — from store manager to CEO in one dashboard.
Traditional retail software waits to be told what to do. AI agents watch, learn, and act — continuously. Think of it less like a dashboard and more like hiring a team of analysts who never sleep, never blink, and surface the right insight to the right person in seconds.
Integrate with existing POS systems, CCTV infrastructure, ERP, and inventory platforms. No rip-and-replace. Works with what you already have.
Models trained on your SKUs, store formats, seasonal cycles, and customer behaviour. Go live within 4 weeks. No generic playbooks.
Roll out store by store or chain-wide. Live dashboards for every level — store manager, regional director, and CEO — all in one platform.
ERP
Cloud
Cloud
Analytics
AI Models
Commerce
CRM
AI Safety
Automation
Five intelligent modules covering footfall, inventory, loss prevention, and chain-wide oversight — every insight delivered in real time.
Know exactly who's in your store, which zones are drawing attention, and where customers drop off — all in real time. AI tracks visitor flow, dwell time, and conversion hotspots across every aisle and department.
AI monitors stock levels across every shelf in every store — triggering replenishment before a single item runs out. Reduce stockouts by up to 40% and cut overstock costs with precision demand forecasting tied to real purchase patterns.
Detect shoplifting patterns, unpaid item attempts, and internal shrinkage in real time — before losses accumulate at the end of the month. AI flags suspicious behaviour instantly and reduces false positives by 90%, so your team responds only when it matters.
Every KPI across every store in one live view. AI surfaces which stores are underperforming, why, and what to do about it — before the weekly report is even written. From store manager to CEO, every layer gets exactly the insight they need.
Across grocery, fashion, and multi-store retail — organisations deploying AI agents report consistent, measurable gains within the first 6–12 months.
Engineers and operators from IIT Delhi, NIT Rourkela — Hero Group, Zomato, EY — who've built and scaled products across consumer and enterprise and are now applying AI to make physical operations truly intelligent.
B.Tech, NIT Rourkela '13 · EY , AI Monk , Dvara E-diary · $2M raised
MBA, IIM Indore · Hero Group , Zomato , Rapido · ₹500Cr+ managed
B.Tech, IIT Delhi · EY , Deloitte · 10+ enterprise products
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