Build vs Buy — Supply Chain Tech Providers

What this means for Supply Chain Tech Providers

• Customer data integration is the platform's biggest implementation cost and biggest blocker — every customer's ERP (SAP, Oracle, Microsoft Dynamics, NetSuite, JDE) has different data models, different master-data quality, and different historical baggage, and the platform's value depends on getting the data in.
• The buyer's baseline tool is Excel — every supply chain planner, every procurement manager, every logistics coordinator runs the day on spreadsheets, and the platform has to displace the spreadsheet by being faster, not by being more sophisticated.
• Implementation cycles are long — 6-18 months is typical for an enterprise planning or procurement platform deployment, the customer success team is staffed for it, and a meaningful share of signed contracts stall before go-live.

Where it pays to act

• Generative AI for sourcing and procurement workflows — RFP drafting, supplier shortlisting, contract clause extraction, and negotiation prep that absorb the workflow the procurement manager runs by hand.
• ML-driven demand forecasting and sensing — short-horizon demand-sensing models on POS, weather, and macro signals that materially outperform the customer's existing statistical forecast.