{"stable_id":"bbdf21b91fa8c875","slug":"ch-robinson-logistics","company":"C.H. Robinson","workflow_name":"AI agents for orders and appointments inside Always On Logistics Planner","function_code":"logistics","pattern_codes":["coordination_compression","exception_based_operations"],"changed_assumption":"That people must key routine freight orders and dock appointments, taking hours, before a carrier can be matched.","evidence_strength":"reported","publication_tier":"showcase","freshness":"current","reviewed_at":"2026-08-23","updated_at":"2026-08-22","source_quality_summary":"1 primary; publication outcomes are reported.","caveat_summary":"Operator-authored. Sample size, matching method, and confidence intervals are not published. ‘Associated with’ is not a causal claim. Same operator-authored limitations.","freshness_caveat":null,"workflow_summary":{"before":[{"actor":"Logistics coordinator","action":"Manually creates the order and books pickup/delivery appointments, often taking hours or days.","actor_type":"control"},{"actor":"Planner / broker","action":"Selects capacity after the order and appointment exist.","actor_type":"control"}],"hinge":"That people must key routine freight orders and dock appointments, taking hours.","after":[{"actor":"AI order and appointment agents","action":"Processes orders in about 90 seconds and automates appointments across 42,000 locations with shipment agents.","actor_type":"ai"},{"actor":"Human logistician","action":"Governs exceptions and higher-value network decisions rather than keying routine orders and appointments.","actor_type":"human"}],"decision_mode":"shared","decision_marker":"AI handles the default; humans own exceptions"},"before":[{"order":1,"actor":"Logistics coordinator","action":"Manually creates the order and books pickup/delivery appointments, often taking hours or days.","handoff_to":"Carrier matching / planning","control":"Human data entry and phone/email appointment setting"},{"order":2,"actor":"Planner / broker","action":"Selects capacity after the order and appointment exist.","handoff_to":"Carrier and shipper","control":"Human judgement on the load"}],"after":[{"order":1,"actor":"AI order and appointment agents","action":"Processes orders in about 90 seconds and automates appointments across 42,000 locations with shipment agents.","handoff_to":"Carrier-matching agents and human exception handling","control":"Lean AI operating model; company says agents are trained by logisticians"},{"order":2,"actor":"Human logistician","action":"Governs exceptions and higher-value network decisions rather than keying routine orders and appointments.","handoff_to":"Shipper / carrier","control":"Human exception path (rate not disclosed)"}],"decision_rights":"Company framing is machine execution of routine steps with humans remaining accountable for the network. No public authority matrix.","exception_path":"Not disclosed in the 2026-03-12 release beyond a general statement that people focus on higher-value work.","removed_work":["Hours-to-days of manual order entry and appointment setting on the treated truckload lane"],"outcomes":[{"metric":"Speed to market on truckload shipments using AI orders and appointments","baseline":"Non-AI (or less mature) handling of orders and appointments in the same two-year window (company analysis; sample size unpublished)","result":"11% faster on average, up to 23%; company says statistically significant","period":"January 2024 through January 2026","scale":"Truckload shipments in C.H. Robinson’s network; 75,000 customers in company context; 42,000 appointment locations","attribution_caveat":"Operator-authored. Sample size, matching method, and confidence intervals are not published. ‘Associated with’ is not a causal claim.","evidence_label":"reported"},{"metric":"On-time pickup","baseline":"Comparison shipments without those AI workflows (unpublished construction)","result":"7% better on average, up to 35%","period":"January 2024 through January 2026","scale":"Same truckload analysis","attribution_caveat":"Same operator-authored limitations.","evidence_label":"reported"}],"executive_lesson":"Robinson’s claim is not a chatbot on a dock. It is machine execution of the order and appointment steps that used to gate carrier matching, with a two-year production window. The 11% and 7% figures are usable only as company-reported associations until sample construction is public.","anti_pattern":"Treating 32-second quotes as a before/after without a baseline, or treating 11% as independently audited causality.","questions_for_leaders":["Which of our order/appointment steps still exist only because a person has to type?","What exception rate would we require before calling a lane autonomous?"],"collections":["queue-eliminated"],"bundle_version":"1.0.0","bundle_fingerprint":"sha256:c23c6cc2b88153d008ea8fda928f632ce0011fc2d4c5036672a16e5d895bab93","canonical_url":"https://brianletort.ai/transformations/ch-robinson-logistics"}