LotLens: Real-time Inventory Truth Layer
9/10
Demand Score
Inventory errors translate into line stoppages and expedited costs; early detection at receiving and kitting prevents production delays.
7/10
Blue Ocean
Competition Level
$2k-12k
Price/Month
Predicted customer spend
12 days
Time to MVP
Difficulty: Moderate
The Problem
Edge AI that reconciles ERP on-hand with physical reality using dock cameras, barcode/RFID reads, scales, and ASN data. Performs computer vision GS1 parsing and weight checks to verify receipts and pi
🔗 Validated by Real User Complaints
This problem has been verified through 3 real user complaints:
Competitor Landscape
- Cognex
- Zebra
- Manhattan WMS
- E2open
- FourKites
- RF-SMART
Must-Have Features for MVP
Vision-based count and label verification with confidence scoring
IoT gateway for scales/RFID and edge inference
ERP/WMS connectors (SAP EWM, Oracle WMS, NetSuite, Infor)
Exception workflows and micro cycle-counts
Supplier ASN auto-verify and discrepancy claims package
Real-time reconciliation ledger and auto-adjust proposals
⚠️ Potential Challenges
- Physical installation and calibration of cameras/IoT
- Harsh warehouse environments affecting vision accuracy
- Union/privacy considerations for video capture
- Tight integration to ERP/WMS posting logic
Risk Level: Moderate
🎯 Keys to Success
- >98% inventory accuracy in piloted zones within 30 days
- 50% reduction in production delays tied to inventory mismatches
- Under 1 day hardware setup per dock door
- Operator adoption via hands-free cues and simple exceptions UI
Ready to Build This?
This moderate-difficulty project could be your next micro-SaaS success.