RELEX Solutions Supply Chain Planning API
RELEX Solutions REST API for unified supply chain planning, demand forecasting, and inventory optimization for retail and consumer goods. Enables AI agents to manage demand forecasting and statistical modeling for inventory planning automation, handle automated replenishment order generation for supply chain efficiency, access promotional demand planning and event management for marketing-supply chain integration, retrieve space management and planogram optimization for retail space planning, manage supplier collaboration and vendor-managed inventory for supply network automation, handle fresh and perishable goods optimization for short shelf-life inventory management, access omnichannel inventory allocation for unified commerce fulfillment, retrieve supply chain scenario planning and simulation for risk management, manage manufacturing and raw material planning for CPG supply chain, and integrate RELEX with ERP, WMS, and retail management platforms.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Supply chain planning. SOC2, ISO27001. OAuth2. US/EU. Retail and supply chain data.
⚡ Reliability
Best When
A retailer, grocery chain, or CPG company using RELEX wants AI agents to automate demand forecasting, replenishment, promotional planning, and inventory optimization across channels.
Avoid When
FOOD SAFETY TRACEABILITY RISK: RELEX manages fresh and perishable inventory — automated replenishment for high-risk foods must support FSMA Rule 204 traceability data requirements; automated records must capture lot number and supply chain KDEs. AI FORECAST BIAS: RELEX AI forecasting learns from historical sales data; new product launches, supply disruptions, and post-COVID demand patterns create forecast bias; automated replenishment during unusual demand periods requires human override capability. Promotional cannibalization — automated promotional demand planning that doesn't account for cannibalization from promoted items creates overall category demand overestimation and excess inventory.
Use Cases
- • Automating replenishment orders from demand planning agents
- • Optimizing fresh inventory from perishable goods agents
- • Planning promotions from retail supply chain agents
- • Managing omnichannel allocation from fulfillment agents
Not For
- • Non-retail supply chains without consumer goods context
- • Small businesses without enterprise planning complexity
- • Organizations using Blue Yonder or Oracle SCM exclusively
Interface
Authentication
RELEX uses OAuth 2.0. REST API with JSON. Developer documentation at developer.relexsolutions.com. Webhooks for planning events. Helsinki, Finland HQ. Founded 2005 by Mikko Kärkkäinen and Johanna Småros. Private (Summit Partners, TCV). $2B+ valuation. 500+ retail and CPG customers. Fresh and perishable goods planning specialist. Competes with Blue Yonder, Kinaxis, and o9 Solutions for supply chain planning.
Pricing
Helsinki, Finland. Founded 2005. Summit Partners/TCV-backed. $2B+ valuation. 500+ retail/CPG customers. Fresh goods planning specialist. Competes with Blue Yonder and Kinaxis.
Agent Metadata
Known Gotchas
- ⚠ FSMA PERISHABLE FOOD TRACEABILITY: Automated fresh food replenishment records must support FDA FSMA Rule 204 Key Data Elements for high-risk foods (produce, seafood, dairy); automated records without traceability data create compliance gap
- ⚠ AI forecast bootstrap for new products — RELEX ML forecasting requires historical sales data; new product launches have no history, creating unreliable automated forecasts for new SKUs; implement new product forecasting override workflow
- ⚠ Promotional cannibalization — automated promotional demand uplift must include cannibalization adjustment; ignoring cross-category and cross-SKU cannibalization creates demand overestimation and post-promotion inventory hangover
- ⚠ Perishable waste vs service level tradeoff — automated fresh inventory optimization must explicitly set waste vs service level tradeoff parameters; default settings may not match retailer's business priorities
- ⚠ Supplier lead time accuracy — automated replenishment depends on accurate supplier lead times; automated ordering with stale lead time data creates order timing errors and stockouts or excess inventory
- ⚠ Space constraint integration — RELEX space planning integration with replenishment must respect physical shelf space constraints; automated replenishment without space constraint validation creates planogram violations
Alternatives
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Scores are editorial opinions as of 2026-03-07.