AI Case Study

7-Eleven improved customer marketing and in-store capacity planning in Indonesia and Mexico using machine learning to predict demand variations

7-Eleven decided to use AI to optimise capacity planning and marketing. They established an information analysis environment to analyse patterns and gather valuable insights from point-of-sale data.

Industry

Consumer Goods And Services

Retail General

Project Overview

7-Eleven worked with Oracle to build a data lake and perform predictive analytics to gather insights into business processes for better-informed decisions, reduce data analysis cycle and lead time for promotional campaigns. While the strategy found success in other markets, in Indonesia it proved insufficient. They closed down operations in Indonesia as sales were impacted by external factors.

Reported Results

7-Eleven claimed an enhanced level of customer service and optimized customer experience. They have since withdrawn the brand from Indonesian market while continuing operations in Mexico.

Technology

Function

Marketing

Marketing Research Planning

Background

7-Eleven is a Japanese-owned American international chain of convenience stores, headquartered in Texas.

Benefits

Data