Move More Freight. Miss Zero SLA Windows.

A regional 3PL operating 14 facilities across the Midwest was running 800 loads per day through 14 dispatchers using a combination of their TMS, spreadsheets, and manual carrier calls. Dispatcher burnout was constant, OTIF was 84.4%, and detention costs were running $14K–$22K per week. VSI deployed an autonomous dispatch and load planning system integrated directly with their TMS and carrier network. Every routine load assignment — LTL builds, FTL tenders, drayage coordination, HOS compliance checks — handled by AI in seconds. Dispatchers dropped from 14 to 6. Throughput scaled 3× as the business grew. OTIF climbed from 84.4% to 98.7%. Detention costs dropped to zero — dwell monitoring now identifies at-risk loads 2+ hours before the clock runs. Margin improved 9 points in the first year. The 8 dispatcher positions freed were redeployed to account management, winning two new enterprise accounts.

A national freight broker managing a $40M annual freight book was processing carrier invoices manually — a team of 3 billing analysts reviewing invoices against rate confirmations, flagging disputes, and chasing credits. Audit coverage was approximately 40% of invoices. The other 60% paid without review. VSI deployed a freight invoice audit AI that processes 100% of carrier invoices automatically — cross-referencing contracted rates, fuel surcharge tables, accessorial authorisations, and weight/dimension classifications from POD data. In the first 90 days, the AI identified $487K in billing errors that had been paid without dispute. Full-year audit recovered $1.1M in carrier billing errors. Spot market procurement AI simultaneously improved carrier utilisation, reducing spot market dependence by 34% and yielding an additional $820K in freight cost savings through smarter contracted carrier selection. Total year-one recovery: $1.9M. Billing team redeployed from audit to strategic carrier relationship management.

An e-commerce 3PL processing 6,000 last-mile shipments daily was receiving 900+ daily inbound customer service contacts — "Where Is My Order" (WISMO) calls and emails from end consumers and retail clients asking for status updates. Each contact cost $4–$7 to handle. Annual WISMO cost: $1.6M–$2.5M. VSI deployed a last-mile intelligence system integrating with their carrier APIs, WMS, and customer communication platform. Real-time shipment tracking aggregated across 12 last-mile carriers. AI identifies delivery exception risks — failed attempts, address issues, weather delays — and pushes automated proactive notifications to customers before they need to ask. WISMO contact rate dropped 67% in the first quarter. The remaining 33% were genuine escalations requiring human resolution. Customer satisfaction scores improved 18 points. The carrier service team, previously consumed by reactive tracking calls, now focuses on proactive carrier performance management and exception resolution.

A food-grade 3PL operating temperature-controlled warehouses was slotting product manually — SKU positions assigned based on historical intuition and quarterly reviews. Fast movers were consistently slotted in suboptimal locations. Pick sequencing was generated by their WMS without regard for pick frequency, weight distribution, or truck loading sequence. Travel time per pick: 4.2 minutes average. VSI deployed a slotting intelligence and pick optimisation system that continuously repositions SKUs based on real-time velocity data, inbound flow patterns, and outbound load sequencing requirements. Slotting decisions now update daily across 18,000 SKU positions. Pick sequence AI generates routes that minimise travel distance and optimise for truck loading order simultaneously. Average pick time dropped from 4.2 minutes to 2.8 minutes. Warehouse throughput increased 31% with the same headcount. The food-safety compliance team identified a secondary benefit: FEFO (First Expired, First Out) compliance automated through the slotting system, eliminating $180K in annual expired product write-offs.