Client Case Studies & Verified Logistics Outcomes

An automated inventory control loop: event sync, reconciliation engine, rule based correction, exception queue for human review, and a full audit trail for continuous improvement.

Timing/sync lag eliminated across 92% of routine mismatches. Inventory confidence improved from baseline to stable. Manual reconciliation reduced to near zero for routine variances.

A productised 5-stage readiness engagement: process mapping, data dictionary, fit-gap analysis, integration mapping, migration rehearsal and cutover planning each producing a reusable artefact.

Migration risk exposed early across 5 key areas (customers, products, inventory, pricing, orders). Fit-gap decision log completed. Cutover plan with rollback controls ready before vendor selection.

A local-first AI environment: open-weight model inference on client-controlled infrastructure, task-specific prompts, validation rules, data boundary controls, and a clear path from prototype to production.

AI value demonstrated without external data transfer. Sensitive data remained on client-controlled infrastructure. Prototype-to-production path validated with privacy controls in place.

A retrieval-augmented generation (RAG) system built locally: document parsing, semantic embeddings, a private vector store, source-grounded answers with citations, and rigorous evaluation before deployment.

Operational questions answered from approved documents in seconds. Source citations returned with every response. Retrieval quality, abstention behaviour and injection resistance evaluated before release.