A promotion planning system that runs on real purchase data, with real-time basket analysis and a dashboard covering both customer behaviour and the impact of promotions end to end. It uses AI and Machine Learning to help set prices, design campaigns and drive cross-sell / up-sell.
Who it is for
Marketing and sales teams who regularly have to make decisions on pricing, discounts and product bundles.
Basket Analysis Dashboard: the overview before the detail
The dashboard's front page pulls the headline figures together (sales, customer numbers and product counts), with a filter for all customers, Active customers or Dormant ones. From there you work through Customer Trends, drawn from purchase and shopping behaviour, and then drill into the Top 10 Products along with how often they are bought together.
- Sales analysis split by all customers / Active / Dormant
- Customer Trends read from purchase behaviour
- Drill into the Top 10 Products and their co-purchase share
Market Basket Detail: the products that end up in the same basket
This section is a table showing which products tend to be bought together (bread with butter and cartons of milk, for example). It is the starting point for Bundle or Combo promotions, and for reshaping the mix of a basket to improve margin. Instead of guessing what customers are likely to buy together, the marketing team can read it straight off actual behaviour.
Price Sensitivity & Optimization: finding the right level of discount
A bigger price cut does not always mean better total sales. The system uses AI to analyse the effect of discounting, measuring how sales change by discount level and by promotion code, then points to the Optimal Discount, the level at which total sales are highest. It can also assess past promotions retrospectively, so the next campaign is worth more than the last.
- Impact measured by discount level and by promotion code
- Finds the Optimal Discount at which total sales are highest
- Reviews past promotions to plan the next round
Personalized Promotion: the right offer to the right group
Once you know who buys what and how they respond to discounts, the next step is designing promotions for particular groups: customers likely to come back for a repeat purchase, say, or new customers who need a push towards a first one. Discount coupons and campaign creative tie back to the same analysis. The system as a whole is aimed at reducing marketing cost, raising sales per receipt, connecting to other systems, and strengthening what the sales team can do.
What it does
- Real-time basket analysis
- Customer base split into Active and Dormant
- Market Basket Detail table of co-purchased products
- Discount impact measured by discount level and promotion code
- Finds the Optimal Discount
- Retrospective review of past promotions
- Promotions designed for specific customer groups
- Connects to other systems
Want something like this?
Tell us your situation and we will work out what needs adapting to fit it.