Interactive Dashboard
A live view of your business at the account — not a static PDF that is stale the day it arrives.
Insight analytics
Technology finds the exception. Experience tells you what to do.
Most supplier reporting answers questions nobody asked. Insight Analytics is built the other way round — every view exists because a decision depends on it.
Insight AnalyticsHow is the business moving?Illustrative
In-Stock %98.2%▲ +1.4 pts98.2%Store-level in-stock, retailer week 31. Target is 96%. Above target for 14 of the last 16 weeks.POS $ 13wk$4.82M▲ +12.4%$4.82MPoint-of-sale dollars, rolling 13 weeks vs the same 13 weeks last year.OTIF96.5%▲ +0.8 pts96.5%On-Time In-Full against the retailer’s window. Below 95% starts attracting fines.Stores3,412▲ +1863,412Stores with at least one item selling in the last 4 weeks. Down 186 on Club Pack alone.
Week 13 · 90.4%5.6 pts under targetLow point — 90.4%. Nine weeks of lost sell-through before recovery. Detected late because nothing alerted until it breached 92%.
Lost units by cause
- DC out-of-stock128kDC out-of-stock — 128k unitsThe DC had none to send. Root cause of the week-13 dip.
- Store shelf gap86kStore shelf gap — 86k unitsStock in the building, not on the shelf. Needs a store-level fix, not a supply one.
- Forecast miss54kForecast miss — 54k unitsDemand exceeded the plan. The seasonal overlap in week 29.
- Order constraint31kOrder constraint — 31k unitsOrder multiples or lead time blocked the replenishment.
What it says
Two service dips in 44 weeks, both recovered — but the second took 6 weeks to claw back.
What we do about it
Shorten the detection window: an in-stock alert at 95% would have flagged week 28 four weeks earlier.
Illustrative views. Every figure shown is sample data used to demonstrate the interface — none of it is a client result. The five tabs are the five kinds of question the platform answers; step through them, or let it run.
How it works
Data in. Decisions out.
The reporting is the easy part. The value is in the last step — and it is the step software on its own cannot do.
- 01
Connect
Retailer-native sources — Scintilla, Madrid, Retail Link and supplier data — pulled into one weekly view.
- 02
Surface
AI-enhanced pattern detection flags the exceptions across POS, in-stock and forecast that are worth your attention.
- 03
Interpret
A managing partner tells you what the exception means, what caused it, and what to do before the next merchant conversation.
What is inside
Seven things, each earning its place.
No vanity charts, no dashboards nobody opens. If a view does not change a decision, it does not ship.
Purpose Driven Insights
Every chart on the page exists to answer a question you actually have to act on.
AI Enhanced Engagement
Pattern detection across weeks of POS and in-stock data, surfacing the exceptions worth your attention.
Executive Summary
The one-screen version for the people who need the conclusion, not the workings.
Weekly Reports
A consistent cadence matched to the retailer week, so the conversation never starts from zero.
Item Detail
Drill from total business to a single item number without leaving the view.
Data Interpretation
The part software cannot do: a partner telling you what the number means and what to do about it.
And a partner on the other end of it.
Every dashboard ships with someone who knows your item file.
See it against your own business.
The fastest way to judge this is to look at your account in it. We will walk you through what we would be watching and why.