5 Star rating from Clutch verified reviews

AI Software for Logistics & Supply Chain Operations

Route optimization, WMS, freight analytics, and AI forecasting. For shippers, 3PLs, and brokers who learn about delays from customers, not systems.

No commitment requiredResponse within 24 hours

8000+
Projects
Delivered for clients nationwide
3000+
Clients
Nationwide across the USA
200+
Engineers
Senior, vetted, full-time
5.0
Clutch Rating
From verified client reviews

Common Challenges

We Understand Logistics & Supply Chain Engineering

Logistics runs on real-time inventory, routing, and last-mile visibility. The challenges we help shippers, 3PLs, and freight teams work through.

Lack of Real-Time Visibility

Carrier EDI 214 status updates arrive hours to days behind reality. Operations teams find out about late shipments from the customer email, not their own dashboard, which is the worst possible order. Closing the gap means a unified shipment event model that normalizes EDI, API tracking, and GPS pings into one timeline.

Manual Route Planning

Dispatcher-on-Excel routing optimizes for whoever is loudest, not for cost-per-stop. Real route optimization respects vehicle capacity, driver Hours-of-Service caps, time windows, weight and volume limits, and customer-specific dwell time, all while reacting to traffic changes between the morning brief and the first stop.

Demand Forecasting Gaps

Most demand forecasts are last year's volume with a flat growth percent on top. That works until promotions, weather, holiday calendar shifts, or a competitor stockout move demand somewhere the model never saw. The accuracy gain from adding external signals is real and almost always justifies the engineering.

Carrier & Vendor Fragmentation

Most networks run 20 to 50 active carriers across LTL, parcel, drayage, and final-mile, each with its own portal, EDI dialect, accessorial schedule, and rate card. The result is invoice reconciliation done by hand and the inability to answer the simple question: which lane is cheapest at this service level today?

What We Build

Logistics & Supply Chain Engineering Capabilities

Engineering capabilities for warehouse management, transportation management, route optimization, and last-mile tracking.

Route Optimization Platforms

VRP solvers tuned to your actual constraints: multi-vehicle capacity, time windows, HOS rules, driver skills, paired pickups and deliveries, and live re-optimization when a stop slips. We pick the right solver (OR-Tools for mid-sized problems, custom column-generation for hard ones) instead of forcing one engine on every fleet.

Supply Chain Visibility & Control Towers

Control towers that ingest carrier APIs, EDI 214 feeds, GPS telematics, and warehouse scan events, normalize them into one shipment event model, and surface only the exceptions worth a human. Escalation routes through Slack, Teams, or your ticketing system, not into an inbox no one reads.

Demand Forecasting & Inventory AI

Gradient-boosted and deep-learning forecasts trained on historical demand, promotions calendars, price elasticity, weather, and competitor stockout signals where we can get them. Hierarchical reconciliation (SKU to category to region) so the numbers add up cleanly when the COO opens the planning view.

Warehouse Management Systems

Custom WMS builds for operations that have outgrown Manhattan or Blue Yonder pricing, or are stuck on a 15-year-old AS/400. Receiving, putaway by velocity, wave and zone picking, pack stations with cartonization, and barcode or RFID hardware integration. Labor standards measured against real takt time, not a vendor brochure.

Freight Analytics & Cost Optimization

Lane-level benchmarking against your own historical rates and DAT or Truckstop market data, accessorial auditing that flags duplicate fuel surcharges and unauthorized detention, mode optimization (parcel-to-LTL, LTL-to-TL consolidation), and carrier scorecards that hold up in QBR meetings.

EDI & Carrier Integration

EDI 204, 210, 214, 856, 990, and 997 against ANSI X12 or EDIFACT (plus the per-trading-partner companion docs nobody publishes cleanly), VAN integrations where required, and REST APIs for carriers that have moved on from EDI. We expect partner-side noncompliance and build the validator and re-send logic to match.

Questions? We've Got Answers

Your WMS Modernization Questions, Answered.

Direct answers on the five layers a production warehouse management system needs beyond inventory counts to actually scale.

Featured Answer

How do you reduce PO cycle time without losing financial control?

A production WMS includes five layers beyond inventory counts. Slotting optimization that places products by velocity and pick path. Wave planning that batches orders to minimize labor. Mobile picking with barcode and voice support for accuracy. Real-time labor analytics that surface performance gaps for coaching. Carrier integration for label printing, manifesting, and tracking at the point of shipment. Without these, warehouses run on operator memory and tribal knowledge, which limits scaling and creates training overhead with every new hire.

Schedule a WMS modernization assessment.

Talk to a logistics engineer

Tech Stack

Technologies We Use

The Go, Python, PostgreSQL, geospatial, and EDI integration tooling we reach for on production logistics work.

Python
Node.js
React
PostgreSQL
Kafka
Redis
AWS
Google Maps Platform
HERE Maps
dbt
Snowflake
Docker

Compliance & Standards

Built to Meet Regulations

Engineering practices aligned with C-TPAT, ISO 9001, and the trade and customs controls logistics buyers audit.

C-TPAT
FMCSA / ELD Mandate
IATA Dangerous Goods / IMDG
SOC 2 Type II
GDPR / CCPA

The Software Pro Difference

Why Choose Software Pro

The reasons engineering leaders keep coming back, told the way we'd tell them in the room.

EDI and Carrier Integration Depth

We have built against ANSI X12, EDIFACT, and REST APIs across LTL, TL, parcel, and drayage carriers. Partner-side noncompliance is expected. We build the validator and re-send logic to match.

Route Optimization at Fleet Scale

VRP solvers tuned to your actual constraints: HOS rules, time windows, vehicle capacity, and driver skills. Live re-optimization when stops slip, not just a morning plan that ignores traffic.

WMS and TMS Engineering Experience

Custom warehouse and transportation management systems for operations that have outgrown off-the-shelf pricing or need integrations the major vendors do not cleanly support.

Real-Time Visibility Architecture

Control towers that surface exceptions before the customer calls. Carrier APIs, EDI feeds, GPS telematics, and warehouse scans normalized into one shipment event timeline.

US Time Zone Alignment

6 to 8 hours of daily overlap with every US timezone. When a carrier integration goes down during peak season, your team can reach ours the same day.

Exception Management Built In

Logistics platforms get judged on exceptions, not the 95% that goes right. We design escalation routing and exception workflows from the architecture phase, not as a post-launch patch.

How We Work

Our Logistics & Supply Chain Engagement Process

A delivery process built for shippers and 3PLs, with carrier integration testing, peak-day load profiling, and exception workflow validation in scope.

01

Current State Analysis

We review your existing TMS, WMS, carrier relationships, and data flows in the first week. The integrations that will take longest are identified at kickoff, not when they block the launch.

02

Integration Mapping

We document every carrier API, EDI trading partner, and internal system connection. Integration scope is the most common source of project overruns in logistics. We size it honestly before work starts.

03

Core Platform Development

We build the shipment data model, carrier integrations, and the primary workflows your operations team will run every day. Working demos happen at the end of every two-week sprint.

04

Carrier and EDI Onboarding

Each carrier integration is built and tested against real data, with per-partner error handling and re-send logic documented. Partner readiness is never what the partner says it is, so we plan the buffer in.

05

Pilot with Real Shipments

A controlled pilot runs before full cutover. Your operations team trains on the new system while the existing one stays available. Rollback is always an option until you decide otherwise.

06

Go-Live and 30-Day Support

We go live with your team on standby and monitor exception rates and integration health for the first 30 days. The engineers who built the system handle the post-launch questions, not a support tier.

Client Reviews

What Our Clients Say

All reviews verified and sourced fromClutch.co
Clutch Verified

"Software Pro took off the workload of production from our shoulders entirely. They designed and developed the entire platform from scratch and provided continuous application support. We're already in talks with them for another project."

E-Commerce Development & Application Support

Phillip Tyler

Founder, Kreative Bugs

Brisbane, AustraliaMar 2025
Clutch Verified

"Their commitment to clear communication, timely delivery, and post-launch support truly impressed us. They delivered a robust, scalable website with visually stunning design. Post-launch training and troubleshooting ensured we could manage everything independently."

Web Development & UI/UX Design

Daniel Foster

Manager, Bulvar Global

Lisbon, PortugalMar 2025
Clutch Verified

"Software Pro helped us where other development teams couldn't. One of our client sites saw a 13% organic increase within one month of their technical work. The team always delivers on time and goes above and beyond to meet expectations. They are amazing!"

Custom Software Development & Web Optimization

Michael Bennett

Executive, Custom Digital Solutions

Charleston, SCNov 2024
View All Clutch Verified Reviews

Opens clutch.co, the world's leading B2B review platform

Common Questions

Questions logistics, supply chain, and fulfillment leaders ask before they engage on visibility or routing work.

Can you build a custom TMS or integrate with our existing one?
Both. We build custom TMS platforms for operations whose constraints (intermodal mixing, drayage, brokerage commissions, multi-mode pricing logic) the off-the-shelf vendors do not handle cleanly. We also extend MercuryGate, McLeod, Descartes, BluJay, and Oracle Transportation Management with custom analytics, carrier portals, EDI mappings, and workflow automation. The build-vs-extend conversation usually takes one workshop.
How does route optimization work and what data does it need?
At the input layer: orders with weight, volume, and time windows from your OMS or ERP, vehicle and driver profiles with capacity and skill constraints, HOS state, and a map provider for live traffic (HERE, Google Maps, or Mapbox). At the engine layer: a VRP solver, usually OR-Tools for mid-sized problems and a custom column-generation approach for the hard ones. Output is route assignments your TMS or dispatch tool consumes. We build it as a service, not a replacement for your dispatch workflow.
How do you build real-time shipment visibility across multiple carriers?
Carrier APIs first where they exist (FedEx, UPS, parcel) and EDI 214 status feeds for the rest. GPS telematics from your own fleet (Samsara, Motive, Geotab) fills the gap on assets you control. All feeds normalize into a single shipment event model with expected milestones, and the dashboard surfaces only the exceptions: shipments that are late, off-route, dwelling too long, or skipping an expected scan. Predictive ETAs get flagged when carrier estimates and observed velocity disagree.
Can AI really improve demand forecasting for logistics and distribution?
Yes. The accuracy gap between a statistical baseline and a properly engineered ML forecast is largest in high-SKU, high-seasonality, promotion-heavy categories, which describes most of distribution. Where it matters less is low-velocity SKUs with stable demand. We are happy to run a backtest on your historical data before committing to a build, because the ROI math is sensitive to your starting baseline.
How long does a typical logistics engagement take?
A control tower MVP with two or three carrier integrations and basic exception alerting ships in 10 to 14 weeks. A WMS replacement or full custom TMS is a 6 to 12 month engagement depending on integration count and warehouse complexity. Demand forecasting platforms typically deliver a usable model in 8 to 10 weeks, with continuous accuracy tuning afterward. EDI and carrier integrations are the most variable line item, because partner readiness is rarely what they say it is.

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