Promotions that buy volume you would have had anyway
We show which promotions paid back, by retailer and mechanic.
Spend moved to schemes that pay back.
AI and analytics for CPG and retail
Start with the decision that is costing you the most.
Promotions, pricing, markdowns and replenishment. We begin with the decision, check what your data can support, and then build the analytics or automation that changes the result.
Problems we solve
Where revenue, profit and availability leak in CPG and retail.
Prices set by rule of thumb
We find which price points move volume and where price can rise.
Price changes backed by elasticity and guardrails.
Markdowns taken after stock has aged
We test when a smaller, earlier discount would clear the line.
Less margin given away per unit sold.
Retailer data reconciled by hand every cycle
We automate the repeat work and send only the exceptions to people.
Planner and sales-ops hours returned to decisions.
Stock in the network, not on the shelf
We find which stores run short and which hold excess.
Fewer lost sales and fewer expedited shipments.
Ranges that miss local shoppers
We match store ranges to what each catchment actually buys.
Ranges that sell through and fit local demand.
Our approach
We understand the business first. The model comes later.
01
Understand
Map the decision, who makes it, and what a poor outcome costs.
02
Check the data
Find what exists and where it breaks before building anything.
03
Build
The smallest analytic that changes the decision, tested on past outcomes.
04
Embed
Put it into planning, automate what repeats, and measure return.
Start with a diagnostic
Bring one problem, not a brief.
We map the decision that costs you most, check your data, and rank the options by estimated return. A short call is enough to see whether we can help.
Write to us directly.
info@contvue.com