What is uLens?
uLens is TDI's AI powered retail execution platform built for Unilever Bangladesh. Field representatives use the mobile app to follow Planned Journey Plans, capture shelf images, and instantly detect SKUs, POSM materials, and product placement via computer vision. The system calculates KPIs like planogram adherence, shelf share, and compliance scores and feeds everything into a centralized dashboard for real time decision making. It transforms fragmented field reporting into a unified, data driven operation at national scale.
Challenges & What TDI Built
Visibility Gap
Manual audits could not provide reliable outlet-level truth at national scale.
Execution Drift
Routes, merchandising quality, and shelf compliance were hard to verify in real time.
AI Response
TDI connected field capture, computer vision, KPIs, and dashboards into one operating loop.
The Challenges
Manual outlet audits were slow, inconsistent, and error prone
No real time visibility into SKU availability or shelf compliance
Planogram adherence was hard to enforce across thousands of outlets
Field force productivity and PJP execution were largely untracked
Delayed, fragmented reporting slowed critical business decisions
What TDI Built
AI powered outlet audit system automating shelf analysis and compliance
Mobile app with PJP based execution, real time image capture and verification
Computer vision models detecting SKU presence, POSM, and shelf share
Automated KPI engine for planogram compliance, exclusivity, and execution score
Centralized dashboard with route tracking, analytics, and performance insights
Business Impact
9,621+ outlets per day
National retail visibility and coverage at scale across Bangladesh
97% POSM accuracy
95% shelf and share of shelf analysis accuracy across all field audits
1.06s AI response
Near instant processing enabling faster field audits and real time reporting
Improved ROI
Better merchandising efficiency, distributor accountability, and trade spend visibility
Core Technologies
Team Involvement
Development Phases
Core System Development
Built the full architecture, trained AI computer vision models, developed backend APIs, and delivered a working MVP covering shelf audit, smart routing, and inventory tracking.
Deployment & Field Execution
Rolled out to real world operations with live field testing, user feedback integration, and system optimization for production stability at scale.
Scale & Expansion
Regional expansion, continuous AI model improvement, and deeper automation building toward a fully intelligent enterprise retail platform.
Core Features
AI Shelf Audit
Detects SOS, SOVM, and POSM compliance from shelf images in under 60 seconds using computer vision models trained on real retail environments.
Dynamic Smart Routes
GPS based PJP routing with automated check ins, task checklists, and visit verification to ensure field reps stay on plan every single day.
Inventory Excellence
End to end POSM tracking covering allocation, damage reporting, and warehouse sync so nothing falls through the cracks.
Integrated Field Coaching
Supervisor joint calls with photo verification and AI result validation for on ground quality control and team accountability.
Future Prospects
KPI based salary disbursement module with multi layer UBL officer approval workflows
Dedicated Territory Manager App for real time regional monitoring and performance tracking
Structured KPI verification workflow ensuring transparent, performance based payouts for field teams
Integration of field execution data with payroll systems for fully automated salary processing
Unified platform connecting sales performance, compliance tracking, and financial governance in a single intelligent system