The Gap in Your AI Data Foundation Is Costing You ROI
New research on why AI-powered demand planning, inventory, and supplier tools underperform, and what a sound data foundation requires to fix it. Only 18% of retailers report positive AI ROI in supply chain, the lowest of any use case measured.
The Data Is the Variable, Not the Model
Every AI system is only as good as what it’s fed. Average supplier compliance sits at 42.8% across industries, the typical supplier misses on more than half of transactions, and every miss is a gap an AI model has to guess its way around. AI doesn’t average out inconsistent data, it amplifies it, at scale, in every forecast and every replenishment decision downstream. Internal transaction history can tell you what happened in your own operation. It can’t tell you whether your performance is competitive, lagging, or leading for your category, because that context doesn’t exist inside any single company’s data.
How SPS Commerce Closes the Gap Between Your AI Ambitions and Your Data
The SPS network gives AI the normalized, benchmarked, portable supplier data internal systems alone can’t produce, across three capabilities that build on each other.
Connect
The network already knows your suppliers’ requirements from hundreds of prior relationships, so onboarding takes days, not months.
Optimize
Network-scale outcome data benchmarks your performance against patterns no isolated system can see.
Orchestrate
AI-powered coordination across companies using shared network context, not isolated dashboards or alerts.
Built for Enterprise Retail IT Leaders
For CIOs, VPs of IT, and Directors of Integration accountable for AI outcomes they don’t fully control, managing supplier data quality that sits upstream of IT, and needing a defensible ROI story before the next board review or AI vendor audit.
Download The Data Foundation Imperative
Start closing your AI data foundation gap before the next forcing event does it for you.