Warehouse Management System T-WMS

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

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

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

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

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