Software and AI that moves
faster than your freight.
Logistics is a margin game played in minutes. A delayed shipment cascades into a missed delivery window, a penalty charge, and a customer who starts looking at alternatives. A warehouse running on gut instinct instead of data overstocks slow movers and runs out of fast ones. A supply chain with no visibility past tier one is a supply chain waiting for a disruption it won't see coming.
We build custom logistics software, supply chain AI systems, and data infrastructure for logistics companies, freight operators, warehouse operators, distributors, and supply chain organizations. As a logistics software development company, we engineer systems for the speed, complexity, and operational unpredictability that define this industry — not generic ERP modules that treat logistics as an afterthought.
TMS, WMS, and ERP that don't talk to each other. "Real-time visibility" that's 30 minutes behind.
- —Operations team lives in spreadsheets
- —Carrier integrations break on every API update
- —Exceptions chased through email threads
AI-powered operations, real-time event streaming, and systems that make decisions — not just display data.
- Exceptions resolved automatically
- Real-time visibility across the entire network
- Integrated with carriers, customers, and ERP
The problem with
logistics technology.
Logistics technology is fragmented by design. Your TMS doesn't talk to your WMS. Your WMS doesn't talk to your customers' systems. Your carrier integrations break every time a provider updates their API. And the "real-time visibility" your platform vendor promised turns out to be a 30-minute-delayed batch update that's useless when a truck is sitting at the wrong dock.
Meanwhile, your operations team lives in spreadsheets — building load plans manually, reconciling inventory counts between systems, and chasing exceptions through email threads. The technology exists to automate all of this, but off-the-shelf solutions either don't fit your specific workflows or require so much customization that you're paying for custom software anyway — except you don't own it.
We build the systems that connect your operational reality to your technology stack. Custom platforms that integrate with your existing TMS, WMS, and ERP. AI that makes real operational decisions — not dashboards that show you what already happened.
Seven capabilities,
built for operational speed.
Intelligent systems that handle the exception-driven work consuming your operations team. AI-powered shipment exception management that identifies delays, determines root cause, selects the optimal resolution, notifies affected parties, and updates all downstream systems — automatically. Automated carrier selection agents that evaluate rate, transit time, service quality, and capacity in real time. Load planning optimization that accounts for weight limits, delivery windows, equipment type, and driver availability.
View serviceReal projects,
measurable results.
The exception that handled itself.
A 3PL was spending 40% of their operations team's time on shipment exceptions — delays, missed appointments, damaged freight, and carrier no-shows. Each exception required manual investigation, customer notification, and corrective action. We built an AI-powered exception management system that monitors shipment events in real time, classifies exceptions by type and severity, automatically triggers the appropriate resolution workflow, notifies affected customers with accurate updated ETAs, and logs everything for performance analysis. Operations team exception handling time dropped by 65%, and customer satisfaction scores improved because they were getting proactive updates instead of silence.
Demand forecasting that actually forecasts.
A distributor was ordering based on historical averages and buyer intuition — resulting in chronic overstocks of slow movers and frequent stockouts of high-demand items. Carrying costs were eating margin, and expedited replenishment shipments were adding transportation cost. We built a demand forecasting model that incorporates sales history, promotional calendars, seasonal patterns, and external signals like weather and economic indicators. The model generates SKU-level forecasts at each distribution center, feeding directly into their replenishment planning system. Forecast accuracy improved by 30%, overstock inventory decreased by 22%, and stockout frequency dropped by 40%.
Visibility that's actually real-time.
A shipper had a customer portal that showed shipment status — but the data was updated in batches every 4 hours, which meant customers were calling for updates between refreshes and the customer service team was manually looking up tracking information. We replaced the batch architecture with a real-time event streaming pipeline that ingests tracking updates from carrier APIs, GPS/ELD devices, and warehouse scanning systems as they happen. The customer portal now shows live shipment position and status. Customer service call volume for "where's my shipment" inquiries dropped by 55%.
Built for the speed,
complexity, and margin pressure.
We build for operational speed.
Logistics operates in real time. Your systems need to process events, make decisions, and trigger actions in seconds — not minutes. We design architectures for the throughput, latency, and reliability requirements of real logistics operations. Systems that handle thousands of shipment events per minute without breaking a sweat.
Integration is the whole game.
A logistics system that doesn't connect to carriers, customers, warehouses, and financial systems is a system that creates manual work instead of eliminating it. We've built integrations with every major carrier, TMS, WMS, and ERP platform. We know where the API documentation lies, which EDI standards actually get followed, and how to handle the partners who are still sending CSVs via email.
We understand the margin pressure.
Logistics margins are thin. Every system we build is designed to reduce cost per shipment, increase throughput per labor hour, or prevent the revenue leakage that comes from billing errors, missed accessorials, and inaccurate dimensional data. If a system doesn't move a number that matters to your P&L, we'll tell you before we build it.
Straight answers.
Yes. We've built integrations with every major TMS, WMS, and ERP platform. We know where the API documentation lies, which EDI standards actually get followed, and how to handle the partners who are still sending CSVs via email. We design the integration layer based on what your systems actually expose.
We build real-time event streaming pipelines that ingest tracking updates from carrier APIs, GPS/ELD devices, and warehouse scanning systems as they happen — not in 4-hour batch updates. The architecture handles thousands of shipment events per minute without performance degradation.
A focused automation — like exception management or carrier selection — typically takes 8–12 weeks. A full platform with demand forecasting, real-time visibility, and multi-carrier integration takes longer. We provide fixed-scope proposals after discovery that defines the actual requirements and integration complexity.
Accuracy depends on data quality and the complexity of your demand patterns. We typically see 25–35% improvement over historical average methods by incorporating seasonality, promotions, market trends, and external signals. Models are trained on your data and continuously refined as new data becomes available.
Yes. We build proof-of-delivery applications, mobile scanning and receiving tools, driver workflow apps, and field service platforms. Designed for the reality that logistics doesn't happen at a desk — these tools work on the devices and in the environments where the actual work happens.
We build EDI and API-based integrations with carrier networks, freight marketplaces, and 3PL platforms. We handle the translation between EDI standards (204, 210, 214, 856) and modern APIs, and we build the error handling and reconciliation logic that keeps data flowing when partners don't follow the spec perfectly.
Ready to talk about your project?
Whether it's automating exception management, building a demand forecasting model, or connecting your logistics systems — tell us what you're trying to solve.