Lambda Supply Chain Listed as a Representative Vendor in Gartner® Market Guide for Supply Chain Network Design Tools
Connect ERP, SAP, OMS, WMS, databases, and files, and transform them directly inside Lambda Supply Chain.
Model tables · 94
| location | on_hand_qty | open_orders |
|---|
Same data sources. Same models. A much faster path in between.
Without Data Transformer
With Data Transformer
Everyone who’s ever waited on a data pull to make a decision.
Supply chain analysts & planners
Ask for the data you need directly, in your own words, and get a clean table back no ticket, no queue, no waiting for a report to be built.
"I don't need to know SQL. I need the DC-level view before the 9am call."
Operations & network leaders
Once data is clean and joined, it flows straight into network, route, and inventory models so more of the week goes to decisions, not preparation.
"We used to spend the first three days of every planning cycle just getting the data ready."
Network & route modelers
Skip the days spent chasing bad rows before a scenario will even run. Pull data already validated and shaped for Network Design or Route Design, and get straight to building.
"Half our modeling time used to go to finding out why the last run failed. Now it just runs."
Data Transformer’s AI is built specifically to read supply chain data the way a planner or analyst would and to show its work, not hide it.
Phrases like "by location," "trending slower," or "last 12 months" get mapped to the right joins, filters, and time windows automatically.
Every request produces a real, readable query. Nothing runs as a black box - your team can review, edit, or reuse it.
Mismatched units, duplicate keys, missing fields, and outliers get caught and resolved during transformation, before they can break a model run.
As it prepares a table, it can point out what's unusual, a location running short, a lane trending over cost, so you're not the last one to notice.
You are here
Connects to your systems, transforms data in plain language, and flags and fixes irregularities as it goes.
Downstream
Builds on validated facility, demand, and cost data to run network scenarios without re-cleaning inputs.
Downstream
Uses clean shipment and lane data to optimize routes, without hunting down mismatched fields first.
The less time a model spends waiting on clean data, the more time your team spends acting on what the model says.
Bring data in from the systems you already run — no new infrastructure, no waiting on IT.
Four steps between raw data and a model-ready table.
Link your ERP, SAP, OMS, WMS, databases, or file-based data sources.
Import the data you need from your connected sources and bring it into Lambda Supply Chain."
AI generates SQL queries to clean, join, filter, and reshape your data.
Push model-ready tables directly into Network Design or Route Design models.
Bring all your supply chain data together, transform it with AI, and move directly into optimization and decision-making.