Logistics & Supply Chain
We work with logistics teams to understand how freight, warehouse, and distribution processes actually need to flow — then build AI-accelerated software that connects the gaps. Not another TMS migration. A unified layer that works from day one.
The Problem
Shipment data in one system, inventory in another, carrier performance in a third — none of them connected. Your team spends 6-10 hours a week reconciling data that should flow automatically. The process your operation needs is simple: one view of every shipment, every warehouse, every carrier, updated in real time.
Route planning in spreadsheets. Driver comms over phone and text. Load matching by gut feel. Every manual step costs fuel, margin, and time your operation can't afford to waste. The underlying process — matching loads to carriers to routes — should be automated, intelligent, and adaptive to real-time conditions.
Your TMS is 15 years old. Your WMS doesn't have an API. Adding a new carrier or 3PL means months of professional services and fragile EDI connections that break during peak season. The problem isn't the age of any one system — it's that they were never designed to evolve with how your supply chain actually needs to operate.
BEFORE
GLIDE PATH
AFTER
GLIDE PATH TIMELINE
...stop paying per shipment and start owning what you build.
What We Do
Slingr embeds with your operations team to map the processes that drive freight, fulfillment, and distribution — then builds AI-accelerated software around them. Every workflow, every integration, every dashboard is shaped by how your team operates.
End-to-end shipment visibility built around your actual freight flow, not a generic dashboard template. Every carrier, every mode, every status — one view, real time.
The dispatch process your team needs: intelligent carrier assignment, optimized routing, and real-time load matching — built into the workflow, not bolted on.
Inventory and fulfillment tools designed around your warehouse layout and processes — because pick paths and cycle counts vary by operation, not by software vendor.
Bring every carrier, 3PL, and partner system into a shared data layer. Robust connectors that scale with your volume — so your integrations hold up when peak season hits.
The Value
How It Works
AI parses every conversation, document, and data source exchanged during kickoff to generate a structured scope and development roadmap — cutting weeks of back-and-forth into days.
We translate the roadmap into architecture and specs using AI to model workflows, identify integration points, and surface edge cases before a single line of code is written.
Our engineering pods use AI-assisted development to ship production-ready software in two-week cycles — writing, testing, and reviewing code at a pace traditional teams can't match.
After launch, AI monitors usage patterns, flags issues, and recommends optimizations. Your dedicated team stays on to iterate and scale based on real data, not guesswork.
Book a 15-minute strategy call. We'll map the process gaps costing you visibility and margin — and show you how AI-accelerated software can be built around the way your supply chain actually needs to run.
Book a strategy call