Verified Commerce — Solution
Smart Inventory Forecasting
Stock exactly what you need, where you need it. Our AI predicts demand at the SKU-location level, cutting carrying costs by 30% while virtually eliminating stockouts.
Capabilities & Technology
Key Capabilities
SKU-level demand forecasting
Multi-location inventory rebalancing
Seasonal and promotional lift modelling
Supplier lead time prediction
Automated reorder point optimisation
Technologies
System Architecture
Our hybrid ecosystem integrates seamlessly with your existing infrastructure, providing AI-powered insights secured by blockchain transparency.
Data Sources
Legacy systems, APIs, databases
AI Processing
Machine learning models, predictions
Blockchain Layer
Immutable audit trail, smart contracts
Analytics Engine
Real-time metrics, dashboards
Cloud Infrastructure
Scalable, secure deployment
Automated Workflows
Process automation, integrations
Case Study
Reducing Stockouts by 85% for a Supermarket Chain
Executive Summary
A 15-location supermarket chain deployed Smart Inventory Forecasting across all stores. Stockout events dropped by 85%, carrying costs fell by 32%, and weekly waste from overstocking perishables decreased by 40% within six months.
Think — Multi-Signal Demand Engine
The forecasting model combines point-of-sale data, weather patterns, local events, and promotional calendars using Facebook Prophet enhanced with custom regressors. It generates daily SKU-store forecasts with confidence intervals, automatically adjusting for trends, seasonality, and one-off events.
Honesty — Auditable Reorder Ledger
Every reorder recommendation, supplier confirmation, and goods receipt is logged to an immutable ledger. Store managers and procurement teams share a transparent view of who ordered what, when, and why — resolving disputes and enabling continuous process improvement.
Operational Metrics
Performance Comparison
See how our hybrid AI + blockchain solution compares to traditional approaches across key operational metrics.
| Metric | Traditional | Hybrid Ecosystem |
|---|---|---|
| Stockout Reduction | Baseline | -85% |
| Carrying Cost Reduction | Baseline | -32% |
| Perishable Waste | Baseline | -40% |
Technical Stack
2026 Roadmap
Q2 2026: Add automated supplier negotiation recommendations. Q3 2026: Cross-chain inventory visibility for franchise networks. Q4 2026: Drone-based stock auditing integration.
“We stopped guessing and started knowing. The forecasting system caught a demand spike from a local event that would have left our shelves empty for three days.”
— John Kariuki, Supply Chain Manager at FreshMart Kenya