Make pricing and promotion decisions based on data, not guesswork.
We build AI tools that analyze your sales data and recommend which products to promote, when to run offers, and how to price for different customer segments. Your decisions are based on what the numbers actually show.
See how it works for your businessHere's how most retail pricing and promotion decisions get made.
A promotion is needed. Someone looks at which products haven't moved recently and suggests a discount. The discount amount is based on what feels reasonable. The timing is based on the calendar, not on customer behavior.
Sometimes it works. Often it leaves margin on the table or moves inventory that would have sold anyway while the products that actually need help sit untouched.
Here's how AI pricing and promotion tools work.
We connect to your sales data, inventory levels, pricing history, and customer purchase patterns. The AI analyzes all of it and surfaces recommendations - which products have declining sales velocity and need a promotion, which are selling well enough to sustain a price increase, which customer segments respond to which types of offers.
Your team makes the final call. But the decision starts from data rather than instinct.
What changes when you have this running.
Promotions move the inventory that actually needs to move, not just whatever is most visible.
Pricing decisions are based on real data about elasticity and customer behavior.
You maintain margins more effectively because you discount strategically rather than reactively.
You identify opportunities to increase prices on products where demand supports it.
Who this works for.
A retail business with a meaningful product catalog where pricing and promotion decisions directly affect margins.
A merchandising or buying team making regular decisions about pricing, discounts, and promotions.
A business that has struggled with slow-moving inventory and wants a data-driven way to address it.
A retail company competing on price who wants to make smarter pricing moves without sacrificing margin unnecessarily.
How we build it.
We connect to your sales data, inventory system, and pricing history.
We configure the analysis logic based on your margin targets and business priorities.
We build the recommendation interface your team uses to see and act on insights.
We track the outcomes of decisions made with the tool and improve the recommendations over time.
Want to make pricing and promotion decisions based on what the data actually shows?
We'll show you exactly how it would work for your specific situation, what it would look like, and how your team would use it.
No commitment. Just a conversation.