Diwo
DecideRetailCPG

Optimize Replenishment

A merchandise manager opens the replenishment run and sees the planogram says one thing while true sell-through says another.

Ranked in dollars
·
What-if validation
·
Push to ops
01The Problem

Today’s workflow is the bottleneck.

A merchandise manager opens the replenishment run and sees the planogram says one thing while true sell-through says another. The same product carries different identifiers across channels, so the rule-based system can't read demand cleanly. She needs to simulate a shift — pull forward a promo, resync supply, spin up an audience — but the tooling won't let her model it before the cycle closes. Stockouts build in one region, excess piles up in another, and the promo lift she should have caught is gone by the time anyone notices.
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 planner another rule-based replenishment run. It reads demand through sell-through patterns even when a product carries multiple identifiers, and lets planners simulate business-specific scenarios on the fly — so the response to a demand shift lands inside the cycle, not after it. Decision Flows interconnect Merchandising and Marketing so the system can realign promotions, sync supply with true demand, optimize channel strategy, or create on-demand audiences at the store/SKU/week level. Quantified recommendations arrive in natural language with interactive levers and constraints; the planner moves a variable, watches the impact, and commits. The patented Decision Intelligence approach proactively flags remediable issues and pulls cross-functional stakeholders into the same decision — collapsing what used to take days into a call made in minutes.
live · decide.diwo.ai
Opportunity· Opp #1908
Which store/SKU/week combinations need rep
Ranked by dollar impact
$285K
+24.3% lift
Ranked · quantified · approved
Logged to audit
See this live

Watch Decide solve optimize replenishment 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 optimize replenishment.
Anchor decision
01 · start here
Which store/SKU/week combinations need replenishment now vs. can wait
02
Whether to realign an active promotion based on true sell-through signal
03
How to sync supply commitments with the current demand read at the channel level
04
When to spin up an on-demand audience to move at-risk inventory
05
How a constraint (budget, capacity, lead time) changes the replenishment plan
06
When to escalate a remediable issue cross-functionally vs. resolve inside planning
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.