About Torinit
We build intelligence into the way distributors actually operate.
AI that lives inside your ERP, your workflows, and your team's daily decisions.
Every distributor sits on decades of transactional data — pricing history, customer behavior, supplier lead times, inventory turns by SKU, by branch, by season. Most of that data powers reports. Very little of it powers decisions. Torinit is an AI consulting and product firm focused exclusively on wholesale distribution. We design, build, and deploy intelligence systems that integrate directly into the platforms distributors already operate on — Epicor, Prophet 21, Infor, SAP, Oracle NetSuite, Microsoft Dynamics — so that every rep quoting a job, every buyer placing a PO, every branch manager reviewing inventory has access to intelligence that was impossible twelve months ago.
Intelligence that changes what happens on Monday morning.
Intelligence, the way we define it, is not a dashboard. It's the right information reaching the right person, inside the right system, at the moment a decision is being made. For leadership, that means knowing which customer segments are eroding margin before the P&L confirms it — seeing the impact of a supplier price increase across your entire book before you decide how to absorb or pass it through, and scenario models that answer “what if we lose this account” or “what if freight costs rise 12%” with numbers, not guesses.
For sales, it means knowing which customers show early signs of churn, which quotes are leaving margin on the table based on transaction-level pricing intelligence, and which cross-sell opportunities exist based on what similar customers buy — all surfaced inside the quoting workflow they already use. For procurement, it means demand forecasts that update continuously, supplier lead time variability modeled at the vendor level, and reorder recommendations that account for carrying cost, service levels, and what's actually in transit.
For the warehouse, it means slotting driven by current velocity, pick sequences optimized for actual order patterns, and labor scheduling informed by what's shipping tomorrow — not what shipped on average last quarter. Every system integrates into your existing infrastructure, works with your existing data, and fits into workflows your people already trust.
People who already understand your business. Backed by 50+ dedicated data and AI engineers.
When you engage Torinit, you won't spend three months educating us on your industry. We already know the difference between a one-step pro dealer and a two-step distributor. We know what Prophet 21 and Epicor look like from the inside. We understand the complexity of managing pricing across national accounts versus spot buys, running vendor-managed inventory programs, and optimizing category management across 50,000+ SKUs. We can talk pick-path optimization with your warehouse lead and margin architecture with your CFO — in the language each one uses.
That distribution expertise is backed by an engineering team of 50+ ML engineers, data engineers, full-stack developers, and AI specialists who build production-grade systems — models trained on your actual transaction data, pipelines connected to your actual ERP, interfaces designed for the workflows your people use every day. Our consultants understand the gap between what the ERP says and what the warehouse knows. Our engineers know how to close it.


Enterprise-grade. Distribution-ready.
Every system we deploy runs on production-grade cloud infrastructure across AWS, Google Cloud, and Microsoft Azure — engineered for the security, scalability, and data governance distributors require.



We don't serve this industry from the outside. We're in it.
We publish original research with MDM — including work on AI adoption across distribution executives that found the vast majority have started implementing AI, but fewer than one in ten have a roadmap for scaling it. We work alongside NAW on the standards shaping the industry's future. We partner with DSG on co-innovation programs that put intelligence into real distributor operations. These relationships aren't decorative. They're how we stay close to the problems that matter most.



Built by people who chose this industry on purpose.
We're looking for people who believe distribution is one of the most important industries to make intelligent — and that doing it well requires caring about the work, not just the technology.
Interested In Joining Torinit?
Introduce Yourself to UsRoles we're always interested in:
Distribution industry veterans transitioning into technology
AI & machine learning engineers who want to ship production systems, not research papers
UX researchers and designers who thrive in complex enterprise workflows
Consulting leaders who can earn a distributor CEO’s trust in the first meeting
Data engineers who know what it means to build on a 15-year-old Epicor instance


