Scenario 01
Baseline
Service 96.2%
Agreed demand, current safety stock policy, current lead times.
Experience the new world of supply chain planning
Built by supply chain practitioners
The problem
Spreadsheets
Stitched together every Monday, broken again by Friday.
Black-box forecasts
Numbers nobody can explain to the CFO, so nobody trusts them.
Month-long setups
Out of date before the first planning cycle ends, and every change after that is an IT ticket in a queue.
Departmental silos
Sales, finance and operations each keep their own plan, swap them as attachments, and none of them reconcile.
Decisions without a dry run
A promo, a supplier delay, a price change: the impact is a guess until it has already happened.
AI without governance
Bundled by default with a fixed provider and region, and no say over where your data goes or whether it runs at all.
Easy plan reconciliation
Sales, finance and operations on one model and one set of numbers, no spreadsheet stitching.
Every number explained
Drivers, model, overrides and who changed what, behind every forecast.
0 hours
from kickoff to live planning; changes are yours to make, no ticket
Test before you commit
Run the promo, the delay or the price change as a scenario and see the impact first.
AI under your governance
Agentic AI built into every workflow. Your provider, your region, your call.
Forecasts that explain themselves
A planning platform shaped by how planners actually work.
Demand Drivers
See the signals behind demand
Promotions, seasonality, price, weather, events: every driver is visible, weighted and reviewable, so the forecast is never a surprise.
Forecast Lab
Test and compare planning approaches
Run statistical, ML and hybrid models side by side. Keep the one that earns its place on accuracy and bias, not on reputation.
Demand Review
Bring forecasts and business input together
Sales, marketing and finance overlay their knowledge on the baseline. Every override is logged with a reason.
Inventory Review
From agreed demand to inventory position
Safety stock, reorder points and projected inventory follow the agreed demand, by SKU and location, with every change reviewable.
Scenario testing
Test the impact before making the call.
Scenario 02
Promo push
Service 94.8%
+18% demand on promoted SKUs for six weeks. Stock-out risk on 3 of 40 families.
Scenario 03
Supplier delay
Service 91.1%
Lead time +2 weeks from the primary supplier. Safety stock rebalanced automatically.
Scenario 04
Inventory position
Working capital −12%
Projected inventory by location, with reorder points that move with the agreed demand.
Inside the product
How it works
Onboarding that fits around your planning decisions.
Live in hours
01Scope it together
A short call on the decisions that matter and the data that drives them.
02Bring your data in
Connect your ERP or drop a file. Haidi maps and validates it, no IT project required.
03Read the signal together
Your first forecasts, reviewed with your planners line by line, the same day.
04Apply the right intelligence
Models, drivers and overrides tuned to your categories.
05Decide and move
Your first cycle runs in Haidi. The decision is yours.
5 onboarding steps
Prepare to launch
Bring one dataset. Leave with a forecast you can explain and a plan you can defend.