Recommendation engine
Offer every customer exactly what they need — and give the sales team exactly what's worth offering. Personalised recommendations powered by machine learning.
What is a recommendation engine?
A recommendation engine is a machine-learning system that analyses customers' purchase history and behaviour, and identifies for each customer the next product, service or action most relevant to them. It's the same principle behind Amazon's "customers who bought this also bought" — applied to your data and your business.
How it works
The model learns from the transaction data your organisation already has: who bought what, when, how often and in what combination. From these patterns it identifies relationships between products and between customer profiles, and produces a ranked recommendation list for every customer. The recommendations are delivered through whichever channel you choose — a sales-team dashboard, the CRM, the website or a marketing campaign — and update continuously.
Who it's for
The solution suits any organisation with a base of returning customers and a varied product range: B2B companies that want every rep to know what to offer on the next visit, retailers and e-commerce sites that want to grow the average basket, and service companies that want to offer each customer the right package or upgrade. The more customers and products you have — the greater the engine's value.
The business benefit
A recommendation engine turns the knowledge buried in your sales data into actual revenue: a larger average basket and more revenue from existing customers, better campaign conversion rates, and a sales team that arrives at every conversation with a relevant offer instead of a guess. Customers, in turn, get a more personal experience — which strengthens loyalty over time.
Solution benefits
Personalised product recommendations
Every customer sees the products most relevant to them — based on their purchase history and behaviour
Up/cross-sell opportunities
Automatic identification of complementary products and upgrades the customer is likely to buy — delivered straight to the sales team
Recommendations for field reps
Before every visit, the sales rep receives a list of recommended actions and products for that specific customer
Personalisation in every channel
One engine serves the website, newsletter, service centre and sales team — a consistent experience at every touchpoint
Continuous learning
The model updates with every purchase and interaction, so recommendations improve as data accumulates
Direct impact measurement
Tracking of conversion rates and revenue from recommendations — you see exactly how much the engine generates
Shall we begin?
Tell us about your business challenge — we'll get back to you with a tailored proposal, no obligation.
- Free initial consultation
- Reply within one business day
- Personal guidance all the way