In the increasingly complex world of retail fulfillment, shaving days, miles, and dollars off orders can make all the difference. That’s the promise behind a new partnership between Intelo.ai and Fluent Commerce, which will merge Intelo.ai’s autonomous AI agents with Fluent’s order management system, Fluent Order Management.
The goal: give retailers and brands automated, real-time tools to reduce split shipments, shorten delivery distances, prevent SLA breaches, and fine-tune inventory levels—without waiting for manual analysis.
AI Agents That Think Like Supply Chain Experts
The initial integration will target four critical pain points:
- Shipment Consolidation: Cuts split-shipment rates from ~17% to under 10%, reducing freight costs and customer frustration.
- Fulfillment Distance Optimization: Uses micro-simulations to reposition stock and cut shipping distances while maintaining speed.
- SLA Guardianship: Flags and pauses underperforming fulfillment nodes before deadlines are missed, then reactivates them once fixed.
- Dynamic Buffer Curation: Continuously adjusts stock levels to avoid both stock-outs and inventory waste.
From Recommendations to Automation
The integrated solution will offer two modes:
- Recommend-Mode – Posts alerts, ROI insights, and suggested actions to Slack or Teams.
- Auto-Mode – Triggers transfer orders directly in WMS or ERP systems.
“By connecting our AI agents directly into Fluent’s OMS, we’re enabling businesses to transform fulfillment operations with real-time, actionable insights,” said Jeff Fish, Co-CEO of Intelo.ai.
Nicola Kinsella, Chief Strategy Officer at Fluent Commerce, called it “the most innovative, AI-powered order management solution on the market,” adding that proactive automation will drive both efficiency and profitability.
Why It Matters
Order management systems have been trending toward predictive analytics for years, but this integration brings autonomous decision-making into the mix—turning OMS from a data dashboard into a self-optimizing engine.
For retailers under pressure from Amazon-fast delivery expectations and rising logistics costs, this could be the difference between winning repeat customers and losing them to competitors.
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