The end of decision lag.
Your customers are shifting. Your demand is moving. Your last reorder was based on last season’s data. Somewhere between the signal and the spreadsheet — the decision already expired.
Demo with Founder →Every tool you have was built to store, show, or explain.
None of them were built to decide.
That’s decision lag. And it compounds every quarter.
Maps your business as a live decision landscape — Customer, Demand, Inventory, Trading, Buying. Five state machines. All connected. Shape before numbers. Signal before noise.
Zooms into where attention is needed — and tells you why, not just that it is. Root cause. Compared to baseline. Time-sensitive. Already computed before you ask.
Shows you two or three scenarios — side by side — with revenue, margin, and inventory implication for each. Not a recommendation. A decision with clarity.
Every decision leaves a trace. Every outcome updates the model. The intelligence compounds every cycle — and it belongs to you, not us.
When a customer signal affects your inventory allocation — Medha connects the two. The context doesn’t reset. The insight doesn’t stop at the edge of one workflow.
Same reasoning. Different altitude.Most AI tools sit on top of your data. Medha is built from a Decision Context Graph — a live model of your business that understands not just what is happening, but why it matters, who it affects, and what the decision options are. That is what makes the signals real and the simulations trustworthy.
A live graph of your business — products, stores, customers, suppliers, orders, movements — connected by decisions, not just transactions. Updated continuously. Not a data warehouse. Not a data lake. A decision-ready model of your world.
Trained on your DCG, not generic data. Learns your business patterns, your seasonality, your customer behaviour, your cost structure. Every model is yours — built on your history, validated on your outcomes.
Medha sits on top of DCG and DAM and acts. Medha reads the graph, runs the models, surfaces the signals, simulates the scenarios, and hands off across workflows — in one conversation, in your language, on your timeline.
Every decision Medha makes, Medha learns from. The intelligence compounds every cycle. It belongs to you — not us.
Whether the CEO is asking what is happening across the full season — or a planner is asking about Store 14 on a Tuesday morning — Medha draws from the same reasoning.
We started with one wedge: Customer Intelligence paired with Inventory Planning. Two skills. One agent. One real decision cycle.
Root cause: price sensitivity on new arrivals, not product fatigue. Medha flagged it. The team acted.
Allocation redirected to top-performing stores before the window closed. Stockout risk reduced across 14 stores.
This is one wedge. One season. Medha is built to go further.
Bring us one real decision from your operations. Medha will show you what it looks like when it stops being offline.