DecideRetailCPGInventory Deployment Planning
Thursday afternoon at the DC.
Ranked in dollars
·What-if validation
·Push to ops
Diwo Playbook · Decide
Decide PlaybookVol. 2412
Inventory Deployment Planning
RetailCPGManufacturing
Decisions inside
- 01Which DCs or stores should receive incoming stock this week, and in what quantities, given location-level demand
- 02Which SKUs to redeploy out of over-stocked locations before they become carrying cost
- 03How to weigh shipping cost against stockout risk when picking a source location
- + 3 more inside
Signed · Diwosha256:inventorydep
01The Problem
Today’s workflow is the bottleneck.
Thursday afternoon at the DC. A deployment planner is staring at three tabs — a location-level demand forecast, a shipping-cost sheet, a supplier-availability report — trying to decide which pallets move where before the weekend surge. The systems don't talk to each other, so the plan gets stitched together in a spreadsheet. By the time the allocations are finalized Friday morning, one region is already out of stock and another is sitting on excess that will carry for weeks.
The status quo· typical decision cycle
signal decays- Day 1Signal capturedModels score. Data is fresh.
- Day 2–3Dashboard builtAnalyst pulls CSVs, joins sources
- Day 4Review meetingStakeholders ask for context, re-pull
- Day 5+Window has closedSignal stale, action wasted
By the time the action is ready, the window has closed.
5 days between signal and action. The data science team did their job. The operator is still waiting.
02The Approach
How Decide handles it.
Decide doesn't hand your planner another demand forecast. It unifies the factors nobody has time to reconcile — granular location-level demand, shipping cost, supplier availability, capacity — and turns them into quantified next-best-action recommendations, not just flagged issues. Planners layer in business constraints (inventory levels, shipping costs, location-specific demand, supplier availability) inside an interactive, natural-language scenario and watch the impact update before they commit. The platform covers both initial deployment and redeployment of excess or slow-moving stock, so the planner is moving pallets to where demand actually is — in minutes, at supply chain speed.
live · decide.diwo.ai
Opportunity· Opp #2076
Which DCs or stores should receive incomin
Ranked by dollar impact
$892K
+20.5% lift
Ranked · quantified · approved
Logged to audit
See this live
Watch Decide solve inventory deployment planning on your retail stack.
45-minute working demo. Your data, your question, a real answer — not a pre-recorded walkthrough.
03Decide
Decisions you can make.
Every case ships with a set of high-leverage prompts — the shortlist operators reach for every week. Here are the ones we see working for inventory deployment planning.
Anchor decision
01 · start here
Which DCs or stores should receive incoming stock this week, and in what quantities, given location-level demand
This is where most
operators start.
02
Which SKUs to redeploy out of over-stocked locations before they become carrying cost
03
How to weigh shipping cost against stockout risk when picking a source location
04
Which supplier lead-time risks should reshape the deployment plan before it ships
05
How a constraint change (budget cap, capacity, service level) moves the recommended allocation
06
When to trigger a rebalance vs. wait for the next planning cycle
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See it on your data
Bring a real Retail question. We’ll show you the decision.
We’ll run Decideagainst a slice of your own data during the demo — no slideware, no prerecorded mock. You leave with a working decision and a line of sight to the next one.