Warehousing Software and AI for Inventory Operations
We have built and supported warehouse management software. We now add AI to warehouse and inventory operations, with forecasting, document extraction and plain-language operational reporting on top of the systems you already run.
Common challenges
- Inventory visibility gaps between warehouse and business systems
- Manual entry of invoices, delivery notes and goods-received documents
- Variable supplier invoice formats that break fixed templates
- Stock-outs and overstock caused by weak demand visibility
- Reports assembled by hand from several sources
- Need for mobile data capture on the warehouse floor
Where AI helps
Use cases we would assess for you in the audit.
Warehouse management systems and inventory workflows
Mobile scanning and data-capture workflows
AI extraction from invoices, delivery notes and goods-received documents
Demand forecasting and replenishment support
Plain-language questions over stock and order data
Anomaly detection on stock movements and discrepancies
Operational dashboards and automated reports
How we work in warehousing
- Start from your current WMS, ERP and spreadsheets; we add to them rather than replace them
- Human verification for accuracy-sensitive document extraction
- Role-based access to stock and order data
- Mobile and web interfaces designed around floor workflows
- Fixed-price audit first, then a proof of concept on one process
- Cloud or on-premises deployment where the architecture requires it
Relevant capabilities and experience
- Warehouse management system for Lamsoon, listed in the company profile
- Warehouse and resource-management products in the company portfolio
- MFP-based AI document apps and Docinight, a mobile app with AI-powered OCR features for documents
- Variable-format invoice processing for logistics, as described in the MultiLLM AI Platform technical overview
- Natural-language access to operational databases with controlled table access
Prove the value before you commit to the build
AI projects stall when buyers fear wasted spend. So we start small, with fixed-price packages and a clear decision point after each stage.
- 1–2 weeks · Fixed price
AI Readiness Audit
We review your systems and data, then deliver a ranked list of AI use cases with estimated ROI.
- 3–6 weeks · Fixed price
Proof of Concept
One working use case built on your real data, so you see results before you commit to scale.
- Ongoing
Scale-Up Contract
Production rollout, integration with your systems, monitoring and ongoing support.
Frequently asked questions
Can you add AI to our existing WMS?
Do we need to replace our existing systems?
Can we start with one use case?
Find the AI Use Cases That Pay Off First
Book a fixed-price AI Readiness Audit and get a ranked list of AI use cases for your warehousing business, with estimated ROI.