Case Study
Real-Time Goods Receiving & Putaway
Business Challenges:
- Goods arrive at the warehouse against an existing Purchase Order
- Staff need to verify SKUs, quantity, and assign storage bins
System Support:
- Staff scan barcode / QR on cartons via mobile app
- System matches scanned items against the PO and flags discrepancies
- AI Assistant suggests optimal put away bins based on capacity and item type
- Inventory is updated in real time on put away confirmation
Smart Order Picking & Fulfillment
Business Challenges:
- Multiple sales orders need to be fulfilled with high accuracy
- Items have multiple lots / batches with different production dates
System Support:
- Operator selects target orders from the Sales Order list
- System generates pick list and suggests lots / batches per FIFO or LIFO rule
- Mobile app shows SKU, bin location, quantity, and required lot
- Scan-based verification blocks confirmation if SKU or lot is mismatched
- Pack station prints shipping label and syncs status to ERP / marketplace
Multi-Warehouse Stock Transfer & Rebalancing
Business Challenges:
- Stock levels vary widely across warehouses, regions, or DCs
- One site approaches stockout while another holds surplus inventory
System Support:
- Unified dashboard shows real-time stock across every warehouse
- AI Forecasting flags sites approaching stockout or holding excess
- System recommends transfer plan: source, destination, and quantity
- Transfer Orders are created and tracked through in-transit until receipt
Lot, Serial & Expiry Tracking (FEFO)
Business Challenges:
- Goods carry expiry dates and lot / serial numbers (FMCG, pharma, F&B)
- Wrong lot picked or expired stock can trigger recalls and write-offs
System Support:
- Each lot is recorded with lot / serial number and expiry on receipt
- Picking suggestions follow FEFO (First-Expired-First-Out) by default
- Automated alerts trigger as lots approach expiry thresholds
- Full upstream / downstream traceability supports recalls and audits
AI-Driven Demand Forecasting & Replenishment
Business Challenges:
- Demand varies by season, promotion, and channel across many SKUs
- Manual forecasting cannot scale; over-ordering or stockouts result
System Support:
- AI engine analyzes sales history, seasonality, and external signals
- Demand forecast generated by SKU for the next 30 / 60 / 90 days
- System recommends reorder points and quantities per SKU
- Draft Purchase Orders pushed to ERP for planner review and approval