For manufacturers
An analyst for every
account, brand and market
Not a tool for the function — an analyst for the individual, equipped with the skills of your role. Your platform, in your own environment, on your own data: production, sales out, off-take, stock, spend and the market read — harmonised into one model.
Leadership
Prioritise the key issues, by impact.
Key Account Manager
Track targets against stock and spend, and cost of business by channel.
Field Sales
Which independents to visit this week, and where PCs pay their way.
Trade Marketing
Evaluate promotion ROI by channel, and redirect the spend.
Operations
Reconcile production, sales out and stock on hand.
One business. Many versions of the truth.
Every market, every retailer, every data source has its own version — and they rarely agree. Ask five times, get five answers: answer drift.
+4.6%
sales out
+3.1%
off-take
+5.2%
market read
+3.8%
panel
+6.0%
retailer portal
The danger: each number is defensible, so nothing looks broken — and the gap between sales out and off-take is where the pipe fills quietly.
The category review
The retailer meeting, fully prepared
One Caisy conversation, start to finish.
Market share
your market share, reconciled with theirs
Selling through, or filling the pipe?
sales out vs off-take, item by item
Promotions & listings
what paid back — with the evidence attached
The plan
proposals, scenarios, answers ready
Every answer scoped and sourced
period · retailer · market · basis
You steer
challenge the plan — Caisy revises it
A worked answer, scope and all
A key account manager, mid-conversation, on their own platform. Every answer states the basis it was calculated on.
Sales out is ahead of plan at our top account, but off-take isn’t. Are we selling through, or filling the pipe?
| Line | Sales out | Off-take | Gap | Days cover |
|---|---|---|---|---|
| Core range — standard pack | +8.4% | +2.1% | 6.3 pts | 41 |
| Core range — multipack | +14.2% | +3.0% | 11.2 pts | 58 |
| Premium line | +4.6% | +5.2% | −0.6 pts | 23 |
| Seasonal SKUs | +22.0% | +6.4% | 15.6 pts | 67 |
| Account total | +9.8% | +3.2% | 6.6 pts | 44 |
You are filling the pipe. Sales out runs 6.6 points ahead of off-take and days of cover has climbed from 31 to 44 — concentrated in multipack and seasonal, both promoted into the account last quarter. The premium line is the only one selling through cleanly.
Which promotions drove the build?
Same view, my other accounts
What does this do to next quarter’s plan?
Every source you have rights to, on one model
This is the hard part, and it is the part we have been doing since 2014. Your own data is the core; everything you subscribe to elsewhere is brought onto the same harmonised model, the same governed metrics and the same master data — so the numbers reconcile instead of competing.
Your own data
Production and shipments
Sales out, by channel
Stock on hand
Trade spend and listings
Budgets and targets
Data you subscribe to
Retailer sell-out feeds and portals
Distributor sales out
Market read and share
Consumer panel
Price and web-scraping
What we do with it
Align products and customers
One definition, every currency
Reconcile sales out to off-take
Onboard new sources in days
Keep it fresh, daily
Consolidation is the feature. Anyone can hand you another portal login; the value is in one place where every source has been made to agree — and one analyst who can read across all of them at once.
Where the return comes from
Four levers, and each one is measurable on your own data. We build the model with your numbers in the Prove step — before you commit to anything.
01
Trade spend
Stop funding the promotions that do not pay back, and redirect the budget to the ones that do.
02
Incremental sales
Range, mechanic and channel decisions made on evidence rather than on last year’s plan.
03
Availability
Sales recovered by catching out-of-stocks and ranging losses while they are still fixable.
04
Time returned
The hours your teams spend assembling numbers, spent acting on them instead.
The question changes from “what does it cost?” to “what does it return?”
One version of the truth. In a conversation.
Ready to see it on your own data? Bring the questions your business argues about. Ask them twice.
global manufacturers served
20+
years of foundations
12
user satisfaction
94%