For Retail Chains & Multi-Store Networks

Make your retail operations
intelligent, not reactive

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 →

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One Platform.
All Retail Solutions.

From customer footfall to full-chain command — every layer of your retail operations, made intelligent.

👁️
Footfall & Zone Analytics

Real-time visitor counting, heatmaps, and dwell time analysis across every zone and aisle.

📦
Inventory Intelligence

AI-driven stock level monitoring with automated replenishment triggers before shelves go empty.

💰
Sales Performance

Store-by-store revenue dashboards with live anomaly detection and trend forecasting.

🛒
Shopper Behaviour AI

Customer journey mapping, product interaction insights, and conversion funnel analysis.

👥
Staff Optimisation

Peak-hour coverage analysis, task completion tracking, and workforce allocation intelligence.

🔐
Loss Prevention AI

Real-time shrinkage detection, suspicious behaviour alerts, and policy violation monitoring.

📊
Demand Forecasting

ML models predicting demand by SKU, store, and season to eliminate stockouts and overstock.

🏪
Chain Command Centre

Unified visibility across your entire store network — from store manager to CEO in one dashboard.

ADD INTELLIGENCE LAYER → assets/IAAS/retail-brain.html

Deployment & Scale

From Pilot Store
to Full Chain.

01

Connect Your Stores

Integrate with existing POS systems, CCTV infrastructure, ERP, and inventory platforms. No rip-and-replace. Works with what you already have.

02

AI Learns Your Patterns

Models trained on your SKUs, store formats, seasonal cycles, and customer behaviour. Go live within 4 weeks. No generic playbooks.

03

Scale Across Your Chain

Roll out store by store or chain-wide. Live dashboards for every level — store manager, regional director, and CEO — all in one platform.

Built to Work With
What You Already Use.

SAP ERP
Microsoft Azure Cloud
AWS Cloud
Google Cloud Analytics
OpenAI AI Models
Shopify Commerce
Salesforce CRM
Anthropic AI Safety
n8n Automation
Oracle
Retail Mgmt

The results speak
for themselves.

23%
Average lift in sales conversion
40%
Reduction in stockout incidents
Faster response to store anomalies
Store 001 · Ground Floor · Live Tracking Active
Entry Zone
Aisle A
Aisle B
Checkout
247
Visitors Today
4.2 min
Avg Dwell
Entry
Peak Zone
Use Case 01

Real-Time Footfall Intelligence.

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.

↗ National Retail Federation — Retail Intelligence Research
Inventory Monitor · Live ● 98.2% Accurate
Shelf A — Beverages
Cola 2L
Juice 1L
Water
Shelf B — Snacks
Chips A
Chips B
Nuts
⚠ REORDER NOW
Shelf C — Personal Care
Shampoo
Soap
Lotion
0
Stockouts Today
2
Reorders Triggered
4h
Avg Reorder Time
Use Case 02

Inventory Accuracy at Scale.

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.

↗ Gartner — Supply Chain & Inventory Intelligence
CAM 01 · ENTRANCE14:31:08
PERSON
PERSON
CAM 02 · AISLE B14:31:08
PERSON
CAM 03 · SELF-CHECKOUT14:31:08
SUSPICIOUS
⚠ Unpaid Item Detected
CAM 04 · EXIT14:31:08
PERSON
● LIVE ALERT CLEARED · CAM 01 · 14:28:55     UNPAID ITEM · CAM 03 · 14:31:02     DWELL ANOMALY · AISLE B · 14:25:33     ALERT CLEARED · CAM 01 · 14:28:55
Use Case 03

Loss Prevention Intelligence.

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.

↗ NRF — Retail Security & Loss Prevention Survey
Chain Overview — Live 4 Stores Active
Store 001 · Delhi On Track
₹2.4L
82% of daily target · 247 visitors
Store 002 · Mumbai ⚠ Below Target
₹1.1L
44% of daily target · 118 visitors
Store 003 · Bengaluru On Track
₹1.9L
76% of daily target · 203 visitors
Store 004 · Pune On Track
₹2.1L
88% of daily target · 229 visitors
₹7.5L
Chain Revenue Today
+12%
vs. Last Week
797
Total Visitors
Use Case 04

Multi-Store Command Centre.

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.

↗ Deloitte — The Future of Retail

The Minds Behind
the Platform.

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.

Rakesh — Co-founder, Yantra AI Labs
Rakesh
AI ML Engineering

B.Tech, NIT Rourkela '13  ·  EYAI MonkDvara E-diary  ·  $2M raised

NIT Rourkela Patented AI EY · AI Monk
Rohit — Co-founder, Yantra AI Labs
Rohit
Product GTM Strategy

MBA, IIM Indore  ·  Hero GroupZomatoRapido  ·  ₹500Cr+ managed

IIM Indore Hero Group Zomato · Rapido
Mohit — Co-founder, Yantra AI Labs
Mohit
Design Systems UX

B.Tech, IIT Delhi  ·  EYDeloitte  ·  10+ enterprise products

IIT Delhi EY · Deloitte Enterprise UX