AI for Retail.
Replace Intuition with Certainty.
Retailers make multi-crore decisions about staffing, marketing, and expansion based on intuition. Swaran Soft's AI footfall analytics — proven with a leading EV brand across India — replaces intuition with 96%+ accurate, GDPR-compliant store intelligence.
8 Retail AI Applications
Privacy-safe, production-tested in Indian retail environments from EV showrooms to FMCG chains.
AI Footfall Analytics
96%+ accurate people counting using 3D sensors — no facial recognition, GDPR compliant. Real-time traffic patterns, peak hour analysis, demographic insights, and marketing ROI measurement.
Store Performance Intelligence
AI dashboards show conversion rates, dwell time, zone heatmaps, and staff KPI metrics per store. Compare performance across your entire network. Identify outliers instantly.
WhatsApp Commerce Bot
B2B catalogue, bulk ordering, quotation generation, supplier comparison, and payment — all inside WhatsApp. Proven with Clyzo (B2B chemicals). 83% message open rate.
Staff Optimisation AI
AI predicts footfall by hour, day, and season. Automatically generates optimal staff schedules. Reduce labour costs by 15–20% while maintaining service quality at peak times.
Marketing ROI Measurement
Correlate marketing campaigns (digital, OOH, events) with in-store footfall uplift. Measure which campaigns actually drive store visits. Optimise spend with data, not intuition.
Catchment Area Analysis
AI analyses footfall patterns, competitor proximity, and demographic data to score potential new store locations. Reduce new store failure risk with data-driven site selection.
Retail Mobile Apps
Customer-facing apps for loyalty, personalised offers, and in-store navigation. Staff apps for inventory, task management, and customer service. Rapid 8-week delivery.
Inventory AI & Demand Forecasting
AI predicts demand by SKU, store, and season. Automated replenishment triggers. Reduce stockouts by 30% and overstock by 25%. Integrates with SAP, Oracle, and retail ERPs.
The Discovery That Changed Everything
The Challenge
A leading electric vehicle brand in India was making multi-crore decisions about store staffing, marketing timing, and network expansion based on intuition and anecdotal reports from store managers. They had no reliable data on actual customer footfall patterns, peak hours, or the effectiveness of marketing campaigns in driving store visits. One counterintuitive discovery changed everything: Tuesdays were outperforming Fridays in one of their flagship stores — a fact that contradicted every assumption the marketing team had made.
The Solution
- 3D sensor-based people counting installed at all entry/exit points — no cameras, no facial recognition
- Real-time footfall dashboard: hourly, daily, weekly, and seasonal traffic patterns per store
- Staff KPI tracking: conversion rate (visitors → test drives → purchases) per staff member
- Marketing ROI measurement: correlate campaign spend with footfall uplift by store and date
- Demographic analysis: visitor age and gender distribution without any personally identifiable data
- Network comparison dashboard: benchmark each store against the network average
- Phased rollout: 5 pilot stores → full network without operational disruption
"One counterintuitive discovery — Tuesdays outperforming Fridays — changed the entire week's staffing plan and marketing budget allocation for that location."
Retail AI — Frequently Asked Questions
Book a Free Retail AI Readiness Assessment
30-minute session with our retail AI team. We assess your current store data maturity, identify the highest-ROI AI opportunities, and provide a pilot scope within 48 hours.