LIVE200 orders validated in 4m 12s 33 exceptions auto-resolved 5 routes optimized — hub SFO-036 Drivers confirmed via call agent 2 reverse pickups re-scheduled POD audit: 198 compliant / 2 flagged Invoice dispute raised — carrier LX-441 Weather delay absorbed, ETA re-broadcast ## What took ten hours now takes _sixty minutes._ ### Without PILOT ~10 hours Manual · reactive ### With PILOT ~60 min Oversight only 01 **Validate** 3–5 min Catches 33 blocking exceptions across 200 orders — bad addresses, wrong service times, overweight loads, special instructions. 02 **Fix** 3–5 min Sends address correction links, calls customers, updates service times from history, splits oversize orders. 03 **Schedule** 3–5 min Books 10 white-glove and 2 reverse-pickup appointments via email and follow-up calls. 04 **Route** ~15 min Generates optimized routes across 5 hubs with drive time, distance, weather and dock constraints. 05 **Staff** ~15 min Detects roster gaps, calls drivers one-by-one via voice agent, secures 6 confirmations, assigns routes. 06 **Monitor** Ongoing Catches no-shows at loadout, auto-reschedules if driver unreachable, handles failed deliveries in real time. --- ## What PILOT does ### Plan. _Execute._ Control. End to end. ### Plan #### Before the _truck rolls._ 01 **Route Optimization** Best route for service, capacity, and cost — generated, not guessed. 02 **Re-Optimization** Adapts the moment orders, vehicles, or conditions change. ### Execute #### While the _truck moves._ 03 **Delivery Success** Proactively recovers at-risk deliveries before they fail. 04 **Driver Management** Assigns, coordinates, and holds drivers to compliance — at scale. ### Control #### After the _doorbell rings._ 05 **Exception Review** Surfaces inbound issues early so teams resolve them faster. 06 **Reconciliation** Reduces leakage, audits PODs, and raises invoice disputes automatically. --- ### Specialists for every decision. _Zero gaps._ 01 **Promise** Dynamic Slot Booking AI-powered delivery slot scheduling with multi-channel customer negotiation. 02 **Promise** Customer Scheduling Proactive outreach via SMS, WhatsApp, and IVR — casual to aggressive presets. 03 **Promise** Address Geocoding Validates and corrects addresses using ML plus a rule engine. 04 **Promise** Service Time Predicts service time per order from weight, delivery type, and history. 05 **Promise** Data Validation Catches past-date orders, special instructions, upstream delays, and overweight loads. 06 **Dispatch** Route Optimization Next-day and same-day planning with weather, traffic, and dock constraints. 07 **Dispatch** Driver Roster Manages shifts, runs shortage outreach, and enforces compliance via a chat interface. 08 **Dispatch** Driver Compliance Monitors overspeeding, harsh brakes, long halts, and daily compliance. 09 **Execute** Over-the-Road Safety Real-time delay monitoring, rescue routes, and customer rescheduling in motion. 10 **Close** POD Audit Automated proof-of-delivery validation and exception flagging. 11 **Close** Invoice Reconciliation Carrier invoice matching, dispute resolution, and payment release. ∞ **Extensible** Build your own MCP-first architecture — bolt on custom agents to fit your workflow. --- ## How PILOT works ### Bolts on in days. _Not quarters._ 01 ### Connect your stack PILOT ingests the signals a dispatcher already uses — orders, slots, addresses, telematics, POD, invoices — via MCP connectors. - TMS · OMS · WMS · CRM - Telematics · POD feeds - Carrier & invoice systems 02 ### Multi-agent dispatcher Eleven specialized sub-agents coordinate scheduling, geocoding, validation, routing, driver management, compliance, and auditing. - Promise · Dispatch · Execute · Close - Reasoning trace logged for every call - Purpose-bound, least-privilege IAM 03 ### Execute & govern PILOT auto-acts on routine decisions. Humans approve high-risk exceptions. Every action is logged and traceable. - Human-in-the-loop for high-risk calls - Full audit trail & kill-switch - Deployed on AWS or Azure (K8s) --- ## Proven at scale ## This isn't a prototype. _It's already delivering._ ### Leading Furniture Company Big & bulky retail $35M annual savings Moved from outsourced to managed delivery. Cost per order dropped from $55 to $40. Utilization climbed past 85%. **−17.5%** cost / delivery **SPORH 2→4** **DIFOT 90%** **NPS +5%** ### HelloFresh Meal-kit · 840K orders/mo +12.5% stops per hour Closed the plan-vs-actual gap by 44% and cut delayed drivers by 40%, even while orders grew 14.5% YoY. **−40%** delayed drivers **−44%** plan gap **+14.5%** order growth absorbed ### JB Hi-Fi / The Good Guys Electronics & appliances · AU −22% kilometers driven One fewer vehicle per day, tighter routes, and a 5% travel-time reduction — with DIFOT up three points. **−1 vehicle** / day **+3%** DIFOT **−5%** travel time ### Leading Pharma Distributor Pharma distribution · APAC +30% capacity utilization Cold-chain-aware routing, automated workflows, and rate-card-driven carrier selection — with freight invoice settlement 5x faster. **+15%** on-time **5x** invoice settlement **↓** damage shipments --- ## Measurable impact ### What PILOT _actually_ moves. 80% Reduction in dispatcher hours per hub 3–5x Fewer dispatchers needed per hub 17.5% Lower cost per delivery 90%+ First-attempt delivery rate --- ## A category in motion Enterprises are shifting dispatcher budgets toward agentic AI. PILOT is built to capture that shift. ### Annual dispatch spend $52–70B ### 3PL & logistics TAM $24.7B ### Managed transportation $30B --- ### Dispatchers who use PILOT ## Hear from teams _running it daily._ ★★★★★ "Our vision is to transform the flow of goods—creating a logistics ecosystem that delivers greater efficiency for businesses while reducing impact on the planet. Achieving this requires a relentless focus on maximizing asset and capacity utilization to unlock meaningful margin improvements across our Ground Freight network. By partnering with FarEye’s AI agents, we gain the operational intelligence needed to convert our asset capacity into a true competitive advantage. It marks the shift from simply moving freight to intelligently orchestrating a high-performance, data-driven network" Sanjith Sebastian Regional Head of Business Analytics, Maersk Ground Freight ★★★★★ "As FarEye marks 13 years of innovation, this milestone reflects the growing role of intelligent technology in the future of logistics. With a long-standing legacy in express logistics, Blue Dart has remained at the forefront of the industry by continuously advancing precision, control, and service excellence through innovation. Over the years, our partnership has helped advance capabilities such as real-time Chain of Custody, AI-led POD audits, and Smart Sorting, enabling greater precision, visibility, and control across the network." Balfour Manuel Managing Director, Blue Dart ★★★★★ "As we scale to over 2,400 stores, our supply chain must do more than just move goods—it must think and adapt in real-time. By leveraging FarEye’s AI Agents, we can now seamlessly orchestrate between our own fleet and third-party networks, maximizing asset utilization across our entire footprint. This level of intelligent, automated execution allows us to lower fulfillment costs while expanding our 'Final Mile' reach, ensuring we continue to provide legendary service to our customers across the country." Brannon McGrotha Director, Final Mile Delivery, Tractor Supply Chain (TSC) --- ## Give your dispatchers _superpowers._ Four weeks from discovery to live pilot. One hub, real orders, real drivers. See what 10 hours of manual grind looks like as 60 minutes of oversight.