A major transportation network unified LH linehaul, DIS dispatch (WebApp + Flutter driver app), inbound and outbound dock operations, BIL billing, TTSL service levels, CS customer operations, and P&R pricing—retiring legacy TMS silos for one operational spine. AiLabs Agents from ideyaLabs accelerated specs, integrations (mapping, mobile, and cloud-native delivery), tests, and rollout.
45%
Fewer manual handoffs
After LH master schedules, DIS dispatch boards, and IB/OB dock plans shared one shipment record instead of parallel spreadsheets.
3×
Faster trip visibility
Command-centre trips, seals, and load boards updated in near real time for planners and carriers—vs. phone trees and static exports.
8
Core modules unified
LH · DIS · Inbound OPS · Outbound OPS · BIL · TTSL · CS · P&R on one path: CS → P&R → DIS → IB → OB → LH → TTSL → BIL.
Day to day, LH teams lived in weekly master schedules and publish validation; DIS ran map-based pickup & delivery on a separate driver channel; inbound OPS juggled doors, traps, and sequencing; outbound OPS aligned lanes, doors, and pulls to LH trips; BIL and TTSL sat downstream; CS and P&R had to stay aligned or revenue leaked before freight moved.
When those pieces stay disconnected, publication order stops guaranteeing load priority, strip manifests drift from what LH actually published, and BIL sees duplicate PROs or missing cross-border attributes after dispatch—pain that shows up across LH, DIS, IB, OB, BIL, TTSL, CS, and P&R.
ideyaLabs paired logistics SMEs with AiLabs Agents to ship eight interlocked areas as one product: LH schedules and command centre, DIS WebApp plus mobile mapping experiences, IB/OB dock orchestration, BIL lifecycle, TTSL matrices, CS flows (order entry, quick quote, pickups, shipment activity), and P&R as the shared rating spine for CS and BIL.
Teams clone prior-week templates each cycle, adjust, then publish—the system blocks publish when trip data is incomplete. AiLabs Agents helped encode publication-order rules, load-board handoff, bulk trip publishing, ad hoc bookings through the carrier integration layer, and command-centre status with driver check-in and seals.
Map-based board for stops, routes, live positions, street/satellite/traffic; assign, split, reschedule stops; route compare and mileage. Field crews use a cross-platform mobile app with embedded maps; AiLabs Agents supported infrastructure-as-code backend patterns so dispatcher and driver stay on one event stream.
Inbound runs in three phases: pre-planning (doors, traps, appointments), active planning (planned traps, mapping-backed auto-sequencing, merge & lock routes), and execution monitoring—including urgent or critical freight and cross-dock timing with LH.
Lanes (grouped destinations with reship), doors, pulls from LH, preset lanes vs. new direct pulls; strip / unload / trap manifests; scan-unload-load to destination trailers; cube, seal, and dispatch close-out aligned to LH bookings.
Bill generation on deliver/dispatch, biller queues, partner and Mexico/Canada fields, duplicate or missing PRO paths, audit and change requests—wired so operational events upstream reduce revenue leakage.
Junction matrices with bulk CSV, service holidays, EOL service centres, alternate load points with payable recalc, and user-visible logging—feeding load decision support and dispatch automation over time.
Order entry, Quick Quote, pickup creation, pickup review queues, shipment activity, and claims read views—so customer operations shares identifiers with DIS and BIL instead of shadow spreadsheets.
Quick Quote vs. full rate quote, global vs. account-level rates, fuel and accessorial engines, and rules APIs—P&R feeds both BIL and CS, so AiLabs Agents helped keep rate data, quotes, and invoices aligned.
The delivery spine runs CS → P&R → DIS → Inbound OPS → Outbound OPS → LH → TTSL → BIL. AiLabs Agents helped encode nuances such as first-published trip loading order, seal capture on check-in, trap merge and lock semantics, strip manifests for dock workers, and carrier-side hooks for ad hoc LH bookings—so releases stayed faithful to hub operations while teams moved off legacy TMS workflows.
AiLabs Agents and ideyaLabs delivery pods focused on measurable operations outcomes: fewer manual touches, faster visibility, and a traceable path from customer commitment to invoice.
45%
Fewer manual handoffs
LH publish gates, DIS boards, and IB/OB dock plans drew from the same shipment lifecycle instead of retyping across legacy TMS silos.
3×
Faster operational visibility
Command-centre + service-centre bucket views meant trips, seals, cancellations, and reinstatements were visible without chasing spreadsheets.
100%
Traceable order-to-cash
CS + P&R quotes, DIS pickups, IB/OB execution, LH movement, TTSL promises, and BIL invoices referenced one spine of IDs and timestamps.
Engage ideyaLabs to design, build, and harden your next linehaul, dispatch, and dock platform—with AiLabs Agents embedded across product, integration, quality, and delivery.
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