Industry
Route optimization, ETA prediction, demand forecasting, exception management, and last-mile delivery — built for fleet-scale operations with the real-time discipline logistics actually requires. Not a SaaS playbook with a fleet diagram.
The landscape
The pattern across logistics and supply chain engagements: a routing model that outperforms the legacy heuristic in a backtest but breaks under exception load; a dispatcher UI that competes with the model rather than working with it; an ETA prediction that ignores driver behavior reality; a warehouse management system that doesn't know about the route optimization engine; and a customer-facing tracking experience that reflects six-hour-old data. Logistics succeeds at the seams between optimization, operations, and customer experience.
Prosigns ships logistics engineering with the operating reality as primary scope. Real-time routing pipelines that handle exception load, dispatcher UIs co-built with the people who use them, ETA prediction grounded in driver telemetry, and customer-facing tracking with the freshness operations teams actually need. CORTEX builds the optimization, FORGE builds the operational tooling, and we operate alongside dispatch ops during rollout.
Where we ship
Specific applications we’ve built and operated for logistics & supply chain buyers. Every example below is grounded in a real shipped engagement.
−18%
miles per delivery
Real-time routing for fleet-scale operations with exception handling, driver-behavior reality, and integration with TMS / WMS. Dispatcher UIs co-built with the people who use them.
Telemetry-grounded ETA models with explicit calibration to driver behavior, traffic conditions, and stop dwell. Integration with customer-facing tracking and exception escalation.
Multi-horizon demand forecasting for inventory, capacity, and labor planning. Integration with WMS and ERP for closed-loop replenishment.
Driver mobile apps, customer tracking, proof-of-delivery, exception capture, and the offline-first patterns last-mile actually requires.
WMS, slotting optimization, pick-path engineering, and integration with automation (AS/RS, conveyor, robotics) where the workload warrants it.
−12%
fuel spend
Reinforcement-learning-driven dispatch combined with predictive ETAs. Migration of batch jobs to event-driven workers with documented rollback per workload.
How we engage
Each phase has a deliverable, an owner, and an acceptance criterion specific to logistics & supply chain delivery.
Discovery in dispatch operations, not in the boardroom. We sit with dispatchers, ride with drivers, audit TMS / WMS configurations, and identify the operational friction the project has to solve. Architecture decisions land against actual operations, not optimistic backtests.
Streaming-first architecture for routing, ETA, and exception flows. Latency budgets calibrated to dispatch decision cadence, not engineering convenience. Exception handling designed in from architecture — not bolted on after launch.
Dispatcher and driver UIs co-built with the people who use them. The model that ships is the model dispatch trusts; the UI that ships is the UI dispatch defends in the post-mortem when something breaks.
Quarterly model recalibration against drift and seasonal shifts, monthly exception-pattern review, and the operational discipline logistics rhythms require. Many engagements continue under Managed Services through multiple peak seasons.
Practices in logistics & supply chain
The capabilities below are scoped to the constraints logistics & supply chain procurement actually enforces — compliance, audit, data residency, and vendor risk.
Generative AI, agents, computer vision, predictive analytics, and MLOps — engineered for production.
In Logistics & Supply Chain
Route optimization, ETA prediction, demand forecasting, and reinforcement-learning-driven dispatch — with explicit calibration to driver and operational reality.
SaaS, enterprise applications, legacy modernization, integrations, and mobile.
In Logistics & Supply Chain
Dispatcher UIs, driver mobile apps, WMS integration, customer-tracking platforms — engineered against real-time operating constraints.
Cloud architecture, DevOps, SRE, migrations, data engineering.
In Logistics & Supply Chain
Streaming architectures with event-driven workers, edge inference where latency demands it, and the FinOps discipline that survives seasonal volatility.
Implementation, customization, and managed support for Dynamics 365, Salesforce, Power BI, ServiceNow, Shopify Plus, and ERPNext.
In Logistics & Supply Chain
D365 SCM and Power BI for executive reporting on operations metrics — integrated with the data substrate optimization workloads run on.
Selected work
−12%
fuel spendCombined predictive ETAs with reinforcement-learning-driven dispatch. Migrated batch jobs to event-driven workers. Dispatcher UI co-built with operations team during rollout.
6 months
−18%
miles per deliveryBuilt a real-time dispatch UI on top of a streaming routing pipeline. Migrated batch jobs to event-driven workers, with progressive UI adoption that survived seasonal peak load on launch week.
11 months
Common questions
Yes — Manhattan, Oracle TMS, BluJay, JDA, and most major WMS platforms are in our active engagement portfolio. We integrate as primary scope (not phase 2), with documented interface contracts, dual-write windows for critical paths, and explicit fallback for partner unavailability.
Yes — when latency demands it. Edge inference for in-cab assistance, driver-behavior monitoring, and routing-decision support. We tell you when edge is the right answer (latency, connectivity) and when cloud with QoS-aware sync wins.
Offline-first by default, with explicit conflict resolution semantics on sync. Battery-aware design, accessibility for in-cab use, and the operational discipline driver-facing apps actually require. We co-build with driver focus groups during design.
Yes — truck, rail, ocean, and air all have shipped engagements. Multi-modal optimization, network-flow planning, and the operational tooling carriers and 3PLs actually use.
ELD-aware design, hours-of-service compliance integrated into routing and dispatch, and the audit-trail tooling DOT examination requires. CITADEL co-pilots regulated-fleet engagements from kickoff.
Operating assessment: 4–6 weeks, $50K–$120K. Routing / ETA program: 6–10 months, $500K–$1.5M. Dispatch platform with TMS / WMS integration: 9–14 months, $1M–$3M. Multi-modal optimization programs: $1.5M–$4M+. Managed Services: $40K–$150K monthly retainer.
Talk to us
A senior engineer plus the relevant department lead joins the first call. No discovery gauntlet, no junior reps.
