Where your business stands today across data, technology, process, people and strategy, what needs fixing to lift your readiness, and the highest-value AI moves for the next 12 months.
Acme has the data and platform fundamentals to start deploying AI in supply-chain operations, but is held back by siloed ownership, inconsistent master data, and no central governance for model risk. Two value plays can be live in 90 days. Six foundation gaps need fixing in parallel to lift your readiness and unlock the larger opportunities.
Lakehouse and event-driven integration mean a forecasting or routing model could be deployed without re-platforming. ~80% of operational data is captured at transaction grain.
SKU dimensions and location IDs diverge across systems, with a ~12% mismatch rate on inbound. Any model touching slotting, transport rating, or yard moves will inherit this noise.
No model inventory, no approval workflow, no monitoring. Acceptable for pilots, but a blocker for customer-facing use cases and any model touching pricing or credit.
CEO and COO have named AI a FY27 board priority. 78% of frontline supervisors surveyed said they would use AI-assisted recommendations "if it saved them admin time".
Weekly SKU-level MAPE sits at ~42% (industry median ~24%). Spreadsheet-driven planning for the tail of SKUs costs an estimated ~$1.6M/yr in excess inventory and expedited freight.
Current planning vendor is bundling an AI add-on into a 3-year renewal. Switching cost is real, but accepting it now locks Acme into closed forecasting models. A material decision worth pausing before signing.
These assumptions shape the value estimates throughout the diagnostic. Please confirm or correct each one so we can lock the numbers and move to the roadmap.