Industry
We build route optimization, ETA prediction, demand forecasting, exception management, and last-mile systems for fleet-scale operators. Architecture is designed for real-time operations, not generic SaaS patterns.
The landscape
Logistics platforms usually fail between systems, not inside one model. Routing works in backtests but fails during live exceptions. Dispatcher tools fight the model instead of helping teams use it. ETA models miss driver and dwell-time behavior. WMS and routing stacks drift apart. Customer tracking is stale. Strong logistics delivery connects optimization, operations, and customer experience in one flow.
We scope around operational reality first. Real-time routing pipelines are built to tolerate high exception volume. Dispatcher interfaces are designed with dispatch teams, not in isolation. ETA models are calibrated on live telemetry and stop-level behavior. Customer tracking is built for near-real-time freshness. CORTEX leads optimization, FORGE leads operational tooling, and rollout happens with dispatch teams in the loop.
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.
Quick read
In plain terms: we map the compliance frame, ship the core workflow, and operate the system with named owners and measurable targets.
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 other major WMS platforms are in our active portfolio. Integration is treated as primary scope, not a later phase. We define interface contracts, run dual-write windows on critical paths, and include fallback paths for partner outages.
Yes, when latency and connectivity requirements justify it. We deploy edge inference for in-cab assistance, driver-behavior monitoring, and routing support. We also advise when cloud plus QoS-aware sync is the better option.
Driver apps are offline-first by default, with explicit sync conflict handling. We design for battery constraints and in-cab accessibility. We also co-build with driver focus groups during design to match real usage conditions.
Yes. We have shipped programs across truck, rail, ocean, and air. Scope includes multi-modal optimization, network-flow planning, and operational tooling used by carriers and 3PL teams.
We design with ELD requirements in mind and integrate hours-of-service compliance into routing and dispatch. We also implement audit-trail tooling required for DOT examinations. 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.
Serving United Kingdom
Prosigns is a senior-only AI development company, founded in 2018 and headquartered in Dallas. We serve the United Kingdom remote-first from Dallas + Doha with senior-bench travel for kickoff, architecture review, and go-live.
Talk to us
A senior engineer plus the relevant department lead joins the first call. No discovery gauntlet, no junior reps.