Inventory Chat Assistant for Multi-location Stock
How we unified inventory visibility across 12 warehouses with a conversational AI that staff actually love using.
The Problem
Before ThinktiveAI
- ✗Complex ERP navigation for simple stock queries
- ✗No real-time visibility across 12 locations
- ✗Frequent stockouts losing $500K+ monthly
- ✗Manual stock counts taking entire weekends
- ✗Expired products discovered too late
Key Pain Points
Staff needed 15+ clicks to check stock in legacy ERP
Store managers flying blind on inventory across chain
Our Solution
We built a conversational inventory assistant accessible via WhatsApp:
n8n
Workflow automation
OpenAI
Natural language processing
Supabase
Real-time database
User interface
Live Chat Demo
Stock level for SKU-4521?
SKU-4521: 340 units in WH-A, 89 in WH-B, 0 in WH-C. Reorder point: 100. Suggest transfer from WH-A to WH-C?
What's expiring this week?
5 items expiring by Friday: • Dairy Cream (120 units) • Fresh Juice (80 units) • Yogurt Pack (45 units) Running promo recommended!
Implementation Timeline
From audit to full deployment in 8 weeks
Multi-Location Audit
Week 1-2Mapped inventory flows across 12 warehouse locations and identified data integration points with existing WMS.
Chat Interface Design
Week 2-3Designed conversational UX for natural language queries supporting stock checks, transfers, and alerts.
AI Training & Integration
Week 3-5Trained OpenAI model on inventory terminology and connected to Supabase for real-time data sync.
Alert System Setup
Week 5-6Configured automated reorder alerts, expiry warnings, and stockout predictions based on sales velocity.
Staff Training & Launch
Week 7-8Trained 200+ warehouse staff on WhatsApp interface and launched with dedicated support channel.
The Results
Fewer Stockouts
Proactive alerts prevent gaps
Query Response
Instant stock information
Annual Savings
Reduced overstock & waste
Locations Unified
Single view across all sites
Screenshots
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Ready for Similar Results?
Let's discuss how we can transform your inventory operations with conversational AI.
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