Every supply chain is different. So the solution should be.
We embed with your operations and planning teams, find where AI can move the needle fastest, and build custom software around how your supply chain actually runs — not the other way around.
Software should fit the supply chain — not the other way around.
Every supply chain is different, so the solution should be too.
Most planning tools ask your business to bend around them. We work the other way: we get close to how your business actually operates — the constraints, the exceptions, the tribal knowledge nobody wrote down — before we design anything.
From there, we identify exactly where AI can create the biggest impact, and build custom software around that reality. No forced modules, no generic playbook — just the system your supply chain needs.
Four steps. Zero off-the-shelf assumptions.
A tight, embedded process for going from "where's the friction?" to a working system your team actually runs.
Understand
We sit with your planners, ops leads, and systems to map how goods, data, and decisions actually move today.
Identify
We pinpoint the highest-leverage points for AI — forecasting, inventory, routing, exceptions — and size the impact.
Build
We engineer custom software and agents on top of your existing systems and data — built for your chain, not a generic suite.
Operate & evolve
We deploy alongside your team, then keep iterating as your network, products, and demand patterns change.
Custom systems, not another dashboard.
A live look at the kind of AI-native system we build — shaped around a specific customer's operations, not a generic suite.
Procurement agent
An AI-powered system that automates the procurement process end to end — reading emails and documents, extracting purchase requirements, and routing requests through the right workflow. It handles requisition interpretation, purchase order creation, and status tracking, while integrating with existing enterprise systems to cut manual effort out of the process.
Not an afterthought — built in from day one.
Security and data privacy are part of the architecture from the first design decision, not something added before launch. Every system we build is designed to protect your data and your operations by default.
Questions we get early on.
If yours isn't here, that's exactly what the call is for.
What makes sense8labs different from off-the-shelf supply chain software?
Off-the-shelf platforms ask you to adapt your process to their data model. We start from your actual operations, data, and constraints, then build software around that — so the system fits how you run today and can change as you do.
What does "AI-native" actually mean here?
It means AI isn't bolted on as a feature — it's part of how the system is designed from the start: forecasting models, optimization engines, and agents that can act on exceptions, all built around your data rather than retrofitted onto a legacy tool.
How long does a typical engagement take?
Discovery and scoping usually run two to three weeks. Most first working systems ship within a quarter, focused on one high-leverage problem before we expand scope.
Do we need clean data before we start?
No. Part of the "Understand" phase is figuring out what data actually exists, where it's messy, and what's good enough to build on now versus what needs fixing in parallel.
What happens after launch — do you just hand it over?
We stay embedded through operate-and-evolve: monitoring how the system performs against real outcomes, tuning it, and extending it as your network, products, or demand patterns shift.
What kinds of supply chains do you work with?
We work across manufacturing, retail, distribution, and CPG supply chains. The common thread isn't industry — it's a team ready to embed with us and build something specific to their operation.
Tell us where your supply chain is losing time, money, or visibility.
We'll walk through your operation, point to where AI can create the biggest impact, and show you what a custom system would look like.