Next Best Product Recommendation
Next Best Product Recommendation
The Challenge
About the Company
- Leading Education Media Retail Company in US
- 2 million customers
- USD 120 Million Revenue
- 15 years of operations
The Solution
iTuring’s Auto ML/AI addresses this complex problem by sifting through enormous amount of data across multiple channels, browsing/shopping behaviour, demographics, and other attributes to understand “customer intent”. Based on that it offers personalized next best logical product recommendation at the individual customer level. Additionally, iTuring’s models can also predict the customer’s sensitivity to price, thereby ensuring that you offer the right price at which they are willing to buy.
A leading education media retail client used iTuring to build “Next Best Product Recommendation” algorithm to increase product sales and drive Customer Lifetime Value. The recommendation was integrated to their Dynamics 360 CRM to drive decisions at the operational level through personalized recommendations on the website, email communications and direct mail.
Business consumed the model recommendations to realize an 18% increase in product sales, increased campaign engagement, higher loyalty (lower attrition) and therefore higher customer lifetime value. One of the unexpected benefits of this approach was the increase in engagement and value of lower-tier customers.
Highlights
- Increased revenue by 18%
- Include Increase in Product Penetration by 9%
- AI Model built in 2.8 hours with iTuring AutoML+
- 4 weeks from start to deployment, real time scoring in production
Impact
Revenue
Model Development Time
Product Penetration
Why CyborgIntell
Not only does iTuring predict customers who are highly likely to buy products but also helped identify need and intent of customers to buy a product. Further, iTuring’s Integrated AI helped implement the next best logical product offered based on the customer’s propensity, need and intent to buy a product. This allows business users to better understand their customers buying behaviour and pattern to apply right discount levels and rebates to drive sales.
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