Global Healthcare Distributor Cuts Manual Freight Operations Time 90% and Saves $15M+ Annually with Pando AI

This 50-year-old pharmaceutical distributor serves more than 100,000 healthcare locations across North America, operating 20+ distribution centers and 200+ depots with $400M+ in annual freight spend across truckload, LTL, parcel, and courier modes. The company ran on a Manhattan TMS in extended support, demanding daily manual workarounds that consumed hours of productive time. Procurement teams spent weeks per cycle building RFQs and reconciling rates across disconnected spreadsheets, with no intelligence on lane performance or carrier reliability. Once shipments left facilities, visibility ceased entirely until delivery confirmation. Five siloed systems — WMS, TMS, ERP, visibility, and freight audit — required constant data reconciliation, leaving management without a coherent view of network performance.

After evaluating and rejecting SAP TM and Oracle TMS — both too rigid and customization-heavy for healthcare logistics — the distributor deployed Pando's AI-powered freight management platform, which offered healthcare-specific functionality out of the box and integrated directly with existing ERP and WMS systems via API. The implementation introduced three AI-driven capabilities: an AI freight procurement analyst that auto-generates carrier RFQs with embedded performance intelligence and bundles complementary lanes into continuous-move opportunities; an AI transportation expert applying machine learning to load planning and route optimization, balancing cost, speed, and carbon emissions simultaneously; and an AI freight audit and pay specialist performing automated three-way matching across purchase orders, delivery confirmations, and carrier invoices. Real-time SKU-level shipment tracking — integrated with carrier systems and IoT devices — added temperature monitoring for pharmaceutical products. All rates, contracts, and performance data were centralized in a single platform with complete audit trails, eliminating the information silos that had fragmented operations.

Manual freight task time dropped 90%, compressing procurement cycles from weeks to hours and reducing planner workload by more than 80%. The company realized $15M+ in annual cost savings. Additional outcomes:

• 100% real-time shipment visibility across all modes — enabling proactive customer communication previously impossible
• 12% improvement in customer service levels
• 60% reduction in month-end closing time via automated freight audit and invoice matching
• 40% improvement in policy compliance through AI-driven scenario planning

Beyond the metrics, the operational character of logistics work shifted fundamentally: teams moved from daily system workarounds to proactive decision-making supported by live data. Carriers also benefited from faster automated payments.

• When replacing a legacy TMS, prioritize healthcare-specific out-of-the-box functionality over broad enterprise platforms — SAP TM and Oracle TMS required years of customization that made them impractical.
• Unifying procurement, execution, and audit on a single platform with ERP and WMS integration eliminates the daily data reconciliation burden that siloed systems impose on logistics teams across every operational function.
• Automated three-way invoice matching at transaction time surfaces billing errors sooner than periodic manual audits; treat freight audit automation as a financial control, not a back-office convenience.