Incorta Case Studies Real-Time Analysis of Billions of Transactions for Global Coffee Retailer

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	Real-Time Analysis of Billions of Transactions for Global Coffee Retailer Incorta

Real-Time Analysis of Billions of Transactions for Global Coffee Retailer

Incorta

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Real Time Analytics
Applicable Industries	Retail
Applicable Functions	Logistics & Transportation
Use Cases	Real-Time Location System (RTLS) Track & Trace of Assets
Services	Data Science Services
Challenge	The world's largest coffee retailer was facing a significant challenge in gaining comprehensive, timely access to data across all its 32,000 locations. The company needed to understand the cost of goods sold at a granular, transactional level, by product, region, store, and week, to improve operations and profitability. The retailer also wanted to enhance visibility into its multiple lines of business to optimize the supply chain and make informed decisions about product placement. Additionally, the company required a solution that could integrate seamlessly with Microsoft, one of their primary technology providers. Read More
About Customer	The customer in this case study is the world's largest coffee retailer, with over 10,001 employees and 32,000 locations worldwide. The company operates in the retail industry and uses Oracle EBS and Excel in its finance and supply chain departments. The retailer was seeking a solution to gain comprehensive, real-time insights into billions of daily transactions across all its locations to improve operations, optimize the supply chain, and enhance profitability. Read More
Solution	The retailer adopted Incorta, a next-generation data analytics platform that offers real-time, profit-boosting insights. Incorta's unique capability to perform direct data mapping allowed the company to gather and join data from anywhere across their technology stack, regardless of source, size, format, or complexity, and unify it without the need for complex and time-consuming data modeling or transformations. During a proof of concept, the retailer saw Incorta extract and deliver billions of data points with ease, immediately realizing the speed and value of unified analytics. Incorta's integrations with major cloud technologies, including Microsoft Azure, gave the retailer unparalleled flexibility and control of their data. Incorta also enabled the use of advanced Azure Data Services such as cognitive services, bots, artificial intelligence, and machine learning. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Real Time Analytics

Applicable Industries

Retail

Applicable Functions

Logistics & Transportation

Use Cases

Real-Time Location System (RTLS)

Track & Trace of Assets

Services

Data Science Services

Challenge

The world's largest coffee retailer was facing a significant challenge in gaining comprehensive, timely access to data across all its 32,000 locations. The company needed to understand the cost of goods sold at a granular, transactional level, by product, region, store, and week, to improve operations and profitability. The retailer also wanted to enhance visibility into its multiple lines of business to optimize the supply chain and make informed decisions about product placement. Additionally, the company required a solution that could integrate seamlessly with Microsoft, one of their primary technology providers.

About Customer

The customer in this case study is the world's largest coffee retailer, with over 10,001 employees and 32,000 locations worldwide. The company operates in the retail industry and uses Oracle EBS and Excel in its finance and supply chain departments. The retailer was seeking a solution to gain comprehensive, real-time insights into billions of daily transactions across all its locations to improve operations, optimize the supply chain, and enhance profitability.

Solution

The retailer adopted Incorta, a next-generation data analytics platform that offers real-time, profit-boosting insights. Incorta's unique capability to perform direct data mapping allowed the company to gather and join data from anywhere across their technology stack, regardless of source, size, format, or complexity, and unify it without the need for complex and time-consuming data modeling or transformations. During a proof of concept, the retailer saw Incorta extract and deliver billions of data points with ease, immediately realizing the speed and value of unified analytics. Incorta's integrations with major cloud technologies, including Microsoft Azure, gave the retailer unparalleled flexibility and control of their data. Incorta also enabled the use of advanced Azure Data Services such as cognitive services, bots, artificial intelligence, and machine learning.

Impact #1	The implementation of Incorta led to increased agility and productivity for the coffee retailer, with an 80% decrease in project time to completion. The retailer gained 360° visibility for stronger profitability reporting, with over 35 billion gift card transactions and over 20,000 SKUs analyzed at an individual level. This gave each category manager the power to generate their own reporting and share key insights about individual product profitability. The retailer was able to analyze 32,000 locations worldwide in real time, improving awareness of which goods and services perform best across individual stores, regions, audiences, and campaigns. The use of Incorta's comprehensive analytics led to the creation of smarter, data-driven business practices across all lines of business.

Impact #1

The implementation of Incorta led to increased agility and productivity for the coffee retailer, with an 80% decrease in project time to completion. The retailer gained 360° visibility for stronger profitability reporting, with over 35 billion gift card transactions and over 20,000 SKUs analyzed at an individual level. This gave each category manager the power to generate their own reporting and share key insights about individual product profitability. The retailer was able to analyze 32,000 locations worldwide in real time, improving awareness of which goods and services perform best across individual stores, regions, audiences, and campaigns. The use of Incorta's comprehensive analytics led to the creation of smarter, data-driven business practices across all lines of business.

Benefit #1	40% decrease in food production cost
Benefit #2	$35M annual savings in inventory carrying costs
Benefit #3	99% reduction in time to deliver reports

Benefit #1

40% decrease in food production cost

Benefit #2

$35M annual savings in inventory carrying costs

Benefit #3

99% reduction in time to deliver reports

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Overview

Real-Time Analysis of Billions of Transactions for Global Coffee Retailer

Operational Impact

Quantitative Benefit