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Customer Success Story

Consumer Packaged Goods

Multi-National CPG Company

Enterprise Objective

One of the largest multinational Retail / CPG companies operating worldwide needs to grow its sales at a higher rate

They have presence in different regions of the world like APAC, North America, South America, etc

The data analysts/scientists in each region need to be empowered with self-serve advanced analytics and deliver top quality results quickly.

Business Use Cases
market-analysis.png

Product Recommendation

Churn Prediction

Customer Segmentations and Promotions

Price Elasticity and Sales Forecasting

Store Segmentation

OTIF and Inventory Optimization

IT Challenges
  • Complex Time-Consuming Solutions

  • Difficult to extract values out of Data Science

  • Hard to Collaborate for Data Analysts, Scientists, Engineers and Product Teams

  • Inability to scale out use cases

  • Difficult to generate timely insights

Industry Challenges
  • Challenge in maintaining competitiveness

  • Difficult to keep customers loyal to the brand

  • Not easy to Identify the touchpoints where your customer creates value

  • Understanding the patterns of store items and item categories is hard

  • Businesses need to rely on forecast to drive sales

  • lack of proper assortment insights can impact on-shelf-availability

Solution

Fast development and deployment on Databricks with seamless integration with Snowflake enabled powerful Data Science Solutions

With segmentation the company could use a different strategy for each target group, tailoring its approach so that customers can avail of better choices

Correlating engagement metrics with churn could surface key indicators of retention

Churn analysis revealed where in the customer journey users are leaving

Sales forecast allowed companies to efficiently allocate resources for future growth and manage their cash flow

Reduced the cost of holding excess inventory, increase customer satisfaction by ensuring that products are always available

5X

Increase in new revenue opportunity

20X

Reduction in Time to Market

10X

Increased Collaboration

15X

Higher Accuracy of Models

5X

Higher Sales of SKUs which are difficult to sell otherwise 

10X

Increase in Use cases

5X

Reduction in operating costs

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