Digi-TAM Supply Chain Consulting

AI supply chain data foundation consulting

Digi-TAM helps companies prepare master data, transaction history, integrations, definitions, lineage and governance before launching AI supply chain pilots.

Digi-TAM capability

AI supply chain data foundation consulting

Digi-TAM helps companies prepare master data, transaction history, integrations, definitions, lineage and governance before launching AI supply chain pilots.

Stabilise

Catalogue products, locations, suppliers, customers, lanes, orders, shipments, BOMs and history.

Modernise

Clean master data, map integrations and define AI-ready metrics, entities and event definitions.

Support

Prepare governed pilot data packs for demand sensing, control tower, digital twin or planner assistant use cases.

AI data foundation

Prepare supply chain data before asking AI to make recommendations.

AI supply chain projects fail when master data, transaction history, integrations and definitions are weak. Digi-TAM helps companies build the data foundation for AI demand sensing, control towers, digital twins, planner assistants and autonomous planning.

Data inventory

Catalogue products, sites, suppliers, customers, lanes, BOMs, calendars, orders, shipments and history.

Quality rules

Define completeness, duplicates, stale data, hierarchy errors, unit mismatches and ownership.

Integration lineage

Map how data moves from ERP, WMS, TMS, planning, BI and partner systems.

AI-ready definitions

Create consistent metric, entity and event definitions for AI use cases.

Supply chain AI data foundation dashboards

Visual proof

Prepare supply chain data before asking AI to make recommendations.

Service scope

How Digi-TAM can help.

AI data readiness audit

Master data, history, integration and governance assessment.

Data quality scorecard

Completeness, consistency, duplication and ownership scoring.

Source-to-target mapping

ERP, planning, WMS, TMS, BI and partner feed mapping.

Knowledge graph preparation

Entity and relationship mapping for products, sites, partners and constraints.

Data governance routines

Ownership, change control and refresh cadence.

Pilot data pack

Clean data set for selected AI use case.

Delivery model

UK & US supply chain outsourcing delivered from Hyderabad.

Use Digi-TAM for UK-managed and US-facing SCM workstreams where process knowledge, integration support, data cleanup, testing, documentation and managed support can be delivered by our Hyderabad consulting team.

AI cannot compensate for missing ownership and weak master data.
Start with the data needed for one business use case, not every possible data object.
Definitions must be consistent across planning, finance, logistics and customer service.
Data lineage matters when AI recommendations need to be explained.

Next move

Stabilise legacy planning, modernise operations and build AI-ready supply chain capability.

Talk to Digi-TAM