Logistics & Supply Chain
Advisory engagements that audit logistics network data maturity, identify the highest-value AI use cases, and deliver a phased implementation roadmap with commercial validation.
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Industry overview
Supply chain AI advisory that assesses network data maturity, identifies use cases with the highest cost-reduction and service-improvement potential, and creates an implementation roadmap backed by commercial business cases.
At a glance
Most logistics operators have started AI projects in pockets — a route optimisation trial here, a demand forecasting proof of concept there — but struggle to scale them or connect them into a coherent programme. The blockers are usually data quality, integration complexity, and the absence of a clear business case that justifies sustained investment. ArrayMatic addresses all three.
We start with a supply chain network audit that assesses data availability, quality, and connectivity across TMS, WMS, carrier systems, and customer order data. Use cases are scored by cost reduction potential, implementation feasibility, and data readiness — producing a prioritised shortlist with commercial business cases. We then design a phased implementation roadmap and can move directly into delivery on the top priority. Platform and vendor evaluation is included where clients need help selecting technology to underpin the programme.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to logistics & supply chain clients.
Supply chain network data audit across TMS, WMS, and ERP
Use-case identification and commercial business case modelling
Implementation feasibility and data readiness assessment
Phased AI programme roadmap with 90-day quick win identification
Technology platform and vendor evaluation
Programme governance and outcome measurement framework design
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