The Problem
We close that gap.
Demand Side
They know what's selling, what's trending, and where demand is building. But they can't see inventory positions, open purchase orders, or lead time constraints.
Making demand decisions without supply context.
Supply Side
They know what's on hand, what's on order, and what constraints exist. But they're always reacting to demand signals that arrive too late — after commitments are already made.
Making supply decisions without demand context.
The result
Decisions made in spreadsheets, by committee, after the fact. Stockouts blamed on operations. Overstock blamed on sales. Nobody has the full picture. That's what we fix.
What We Run For You
The platforms we deploy give every client these capabilities from day one. We handle selection, configuration, integration, and upkeep.
Every recalculation is automatically timestamped and archived. Compare current vs. prior versions. Roll back. Audit every decision that was made.
Track how close your forecasts are to actuals, period over period. Surface model drift before it becomes a stockout or overstock event.
System-generated purchase recommendations based on your forecast, current inventory, open POs, and lead times. Stop guessing. Start acting on data.
View the same data through two lenses: operational (units, weeks on hand, fill rate) and financial (COGS, cash tied up in inventory, margin impact).
The platform recalculates automatically the moment a planner touches a number — instantly across all SKUs and time periods. No waiting on a report. No exporting to Excel.
Manage multiple channels, SKUs, and sales regions in a unified view. Role-based access keeps the right data in front of the right people.
Scenario Modeling
Scenario modeling is the most powerful part of the planning stack we run. Enter a scenario adjustment — a delayed PO, an unexpected order, a promotional spike — and watch the downstream impact cascade through your inventory position in real time.
Test the decision before you make it. No spreadsheets. No back-of-napkin math. Just clarity.
| Apr | May | Jun | Jul | Aug | Sep | |
|---|---|---|---|---|---|---|
| Sales Forecast | 450 | 407 | 726 | 1,054 | 1,087 | 950 |
| Open PO | 0 | 100 | 0 | 0 | 0 | 0 |
| Suggested Order | 0 | 0 | 0 | 0 | 7,680 | 0 |
| Simulation (+/−) | — | — | — | — | — | — |
| End of Period Inv. | 2,711 | 1,416 | 4,975 | 490 | 6,639 | 5,063 |
| Weeks on Hand | 8 | 5 | 14 | 2 | 18 | 14 |
Finance + Operations
Finance and planning shouldn't be reconciling spreadsheets to have the same conversation. The financial summary we configure rolls up every purchasing decision by vendor, by product, by month — with terms and lead times already factored in.
When a $60K commitment in September traces back to one SKU, your planner and your CFO see it instantly — and can adjust it together before it's locked in.
| Vendor | Product | Jul | Aug | Sep | Oct | Nov |
|---|---|---|---|---|---|---|
| Lorem Exum Corp | Shirts | $3,000 | $10,125 | $17,875 | $4,213 | $10,288 |
| Velare Industries | Pants | $36,330 | $10,795 | $43,185 | $56,090 | $35,870 |
| Total Commitment | $39,330 | $20,920 | $61,060 | $60,303 | $46,158 | |
Vendor terms and lead times built in
Drill into any commitment down to the SKU
Finance stops finding out after the fact
How Engagements Work
We don't sell software. We build the data infrastructure your business needs, select and configure the right platform on top of it, and run it with you as an ongoing managed service. One partner, one accountable team, no new headcount.
By the time you're running simulations, you trust the numbers they're built on.
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