Customer Analytics

Our Solution embedding advanced Machine Learning techniques can identify patterns and behaviours among customers to convert them in few customer segments. This help in implementing customer engagement strategies at segment level.

• Help to understand customer behaviour with deeper insights.
• Identify the best campaigns to be targeted for each customer segment.
• Build a behaviour driven customer experience.
• Communicate via preferred channel at best times.
• Identify offers and content to solve real pain points.

Our solution will analyse customer behaviour in robust manner and identify the inherent patterns before recommending the next best action for each of the customer. This will help in improving the conversion and at the same time will reduce the cost per conversion. Our solution will help in the followings:

• Compute the Probability of Conversion.
• Recommend the Next Best Action at customer level.
• Recommend the Optimal Frequency of Targeting.
• Provide the optimal customer journey.

Customer is valuable and losing a customer is very costly. So early churn prediction and prevention are crucial for the business. Our advanced solution will detect the churn risk customers with predictive models and help the business to prevent churn. The benefits of our advanced solution:

• Identify the customers with high risk of churn.
• Detect dissatisfaction patterns to mitigate exposure.
• Identify the lost customers with high win back potential.

Our sophisticated solution will analyse customer centric data and measure the current customer satisfaction (CSAT) score. Help in discovering the drivers of positive customers satisfaction that will help in nurturing healthy customer relationship. Our solution will help in:

• Measuring the CSAT score and its impact on Revenue and other KPIs.
• Detect and fix the root causes of poor customer feedback.
• Develop services based on customer needs.

All the Ecommerce and Apparel industries facing the problem of high return of their products and curious to understand their root cause. Our machine learning based solution will analyse the sold and returned items along with the customer profile and their purchasing pattern and detect the root of the products retuned. We help in:

• Identifying the root cause of the products returned.
• Measure the probability of return of a product sold.
• Detect the most retuned product category and the potential reasons.
• Help in reducing the number of items returned.