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Transforming Sales Order Generation Process for Coca-Cola Bottlers in North America

Retail & CPG
case study

Business Impacts

10%

Time Reduced for Sales Representatives to Generate Orders

$10 MM

OPEX Savings Generated Annually After Using OrderSmart™

150,000

Convenience Stores were able to Generate Automated Draft Sales Orders Across North America

Customer Key Facts

  • Location : North America
  • Industry : IT Services for Coca-Cola Bottlers

Problem Context

Coca-Cola Bottlers were spending a significant amount of OPEX on daily sales visits of account managers to 150,000+ convenience retail stores across North America. On top of that, a significant amount of money was spent on managing contract employees during vacation periods for account managers.
The sales visit process was time-consuming and prone to errors due to the manual counting of every item in the store. Also, inaccurate orders were causing significant stock-outs and customer returns.

 

Challenges

 

  • ~0.1 billion SKU-store combinations
  • Products with very low purchase frequency
  • Non-uniformity of sales pattern of products across customers (stores)
  • Unexplained outliers due to promotions and other reasons

Technologies Used

Databricks

Databricks

Azure HDInsights

Azure HDInsights

Hive

Hive

Node js

Node js

SQL

SQL

Spark

Spark

Angular

Angular

Python

Python

Tableau

Tableau

Transforming Sales Order Generation Process With OrderSmart™

Solution

To solve our client’s problem, Quantiphi came up with an AI ML assisted solution, called OrderSmart™. OrderSmart™ is a scalable predictive ordering solution that uses proprietary AI and ML algorithms to transform the manual sales-order generation process. OrderSmart™ transforms manual processes of order generation at the Store-SKU level, reduces costs and effort, and improves operational efficiency.

Result

  • Labor dependency reduced as manual counting of stocks at convenience stores reduced.
  • Bottlers were able to save OPEX by reducing sales visits related costs
  • Future Orders helped the bottlers to better contract employee engagement

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