Diwo
DecideRetailCPG

Optimize Buy Planning

A buyer is building next season's SKU mix for 400 stores.

Book a working demoHow Diwo solves it
Ranked in dollars
·
What-if validation
·
Push to ops
01The Problem

Today’s workflow is the bottleneck.

A buyer is building next season's SKU mix for 400 stores. The demand forecast lives in one tool, the market plan in another, the promo calendar in a third, and the cannibalization model in a fourth. Reconciling them into a defensible buy at the SKU/week grain takes three days — and by the time the numbers line up, the market has already moved. Either the buy goes in rushed and under-informed, or the window closes and margin walks out the door.
The status quo· typical decision cycle
signal decays
  1. Signal captured
    Models score. Data is fresh.
    Day 1
  2. Dashboard built
    Analyst pulls CSVs, joins sources
    Day 2–3
  3. Review meeting
    Stakeholders ask for context, re-pull
    Day 4
  4. Window has closed
    Signal stale, action wasted
    Day 5+
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 buyer another forecast. It synthesizes model outputs and data insights into quantified next-best-action recommendations at the SKU/week grain, and pulls the business context — market planning data, potential cannibalization, promo overlap — into the same interactive scenario. Planners pressure-test constraints directly in the decision surface, in natural language, and see the impact of each lever before committing. The patented Decision Intelligence approach optimizes the specific high-value buying decision rather than generating more dashboards — turning a three-day reconciliation into a minutes-long call the buyer can actually defend.
live · decide.diwo.ai
Opportunity· Opp #2140
How much of a SKU to buy for a given week
Ranked by dollar impact
$487K
+28.6% lift
Ranked · quantified · approved
Logged to audit
See this live

Watch Decide solve optimize buy planning on your retail stack.

45-minute working demo. Your data, your question, a real answer — not a pre-recorded walkthrough.

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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 optimize buy planning.
Anchor decision
01 · start here
How much of a SKU to buy for a given week given live demand and promo signal
02
Whether to pull forward, push back, or cancel a planned buy based on cannibalization risk
03
How a change in market planning assumptions shifts the recommended buy quantity
04
Which SKUs need human review vs. which can auto-approve
05
How to rebalance the buy plan when constraints (budget, capacity, lead time) change mid-cycle
06
When to accept the machine recommendation vs. override with buyer context
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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.

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