Google Cloud Platform Case Studies 7Learnings: Leveraging Google Cloud for Predictive Pricing and Profit Optimization

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	7Learnings: Leveraging Google Cloud for Predictive Pricing and Profit Optimization Google Cloud Platform

7Learnings: Leveraging Google Cloud for Predictive Pricing and Profit Optimization

Google Cloud Platform

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Education Equipment & Machinery
Applicable Functions	Sales & Marketing Warehouse & Inventory Management
Use Cases	Demand Planning & Forecasting Predictive Maintenance
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	7Learnings, a Berlin-based startup, provides browser-based software services that use machine learning tools to automatically optimize pricing for its customers. The company helps online retailers set their product prices based on desired outcomes and tracks the impact of these decisions. The software considers a wide range of data to suggest optimal price changes, including product stock levels, seasonal changes, competitor actions, and upcoming sales events. However, the company faced challenges in storing, managing, and analyzing the vast amounts of data it needed to provide these insights. The data came from various platforms used by its clients, which added to the complexity of the task. Additionally, the company needed a way to visualize the data insights and scale its storage in line with customer demand. Read More
About Customer	7Learnings is a Berlin-based startup that provides browser-based software services to online retailers. The company uses machine learning tools to automatically optimize pricing for its customers, helping them set their product prices based on desired outcomes and tracking the impact of these decisions. The software considers a wide range of data to suggest optimal price changes, including product stock levels, seasonal changes, competitor actions, and upcoming sales events. The company's mission is to make data work for its customers seven days a week, automating time-intensive tasks to continuously gather and analyze information in the background. This gives its customers more time to spend on other tasks, such as product development or marketing, leading to greater control, better oversight, and higher profits. Read More
Solution	7Learnings turned to Google Cloud’s scalable solutions to store and analyze the data it uses to predict prices. The company uses BigQuery, a Google Cloud solution, to ingest, store, and analyze data. BigQuery’s ability to easily ingest data from other platforms was a significant advantage for 7Learnings, as it reduced the effort required to integrate data from various client platforms. To visualize the data insights, 7Learnings uses Looker Studio, another Google Cloud solution, to analyze and spot key trends and assess key business metrics from its BigQuery warehouse. As a growing business, 7Learnings also needed to scale up its storage in line with customer demand. For this, it used Google Cloud’s App Engine solution, which transfers the code for 7Learning’s app to the Cloud, where it seamlessly scales according to customer demand. To package and deploy its software services so that its customers can access them from any browser, 7Learnings uses Cloud Run. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Education

Equipment & Machinery

Applicable Functions

Sales & Marketing

Warehouse & Inventory Management

Use Cases

Demand Planning & Forecasting

Predictive Maintenance

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

7Learnings, a Berlin-based startup, provides browser-based software services that use machine learning tools to automatically optimize pricing for its customers. The company helps online retailers set their product prices based on desired outcomes and tracks the impact of these decisions. The software considers a wide range of data to suggest optimal price changes, including product stock levels, seasonal changes, competitor actions, and upcoming sales events. However, the company faced challenges in storing, managing, and analyzing the vast amounts of data it needed to provide these insights. The data came from various platforms used by its clients, which added to the complexity of the task. Additionally, the company needed a way to visualize the data insights and scale its storage in line with customer demand.

About Customer

7Learnings is a Berlin-based startup that provides browser-based software services to online retailers. The company uses machine learning tools to automatically optimize pricing for its customers, helping them set their product prices based on desired outcomes and tracking the impact of these decisions. The software considers a wide range of data to suggest optimal price changes, including product stock levels, seasonal changes, competitor actions, and upcoming sales events. The company's mission is to make data work for its customers seven days a week, automating time-intensive tasks to continuously gather and analyze information in the background. This gives its customers more time to spend on other tasks, such as product development or marketing, leading to greater control, better oversight, and higher profits.

Solution

7Learnings turned to Google Cloud’s scalable solutions to store and analyze the data it uses to predict prices. The company uses BigQuery, a Google Cloud solution, to ingest, store, and analyze data. BigQuery’s ability to easily ingest data from other platforms was a significant advantage for 7Learnings, as it reduced the effort required to integrate data from various client platforms. To visualize the data insights, 7Learnings uses Looker Studio, another Google Cloud solution, to analyze and spot key trends and assess key business metrics from its BigQuery warehouse. As a growing business, 7Learnings also needed to scale up its storage in line with customer demand. For this, it used Google Cloud’s App Engine solution, which transfers the code for 7Learning’s app to the Cloud, where it seamlessly scales according to customer demand. To package and deploy its software services so that its customers can access them from any browser, 7Learnings uses Cloud Run.

Impact #1	By using Google Cloud’s scalable solutions, 7Learnings was able to automate its time-consuming, manual decision-making processes. The company now powers prediction-based pricing for retailers, delivering accurate profit and revenue predictions on a product level. It provides a first-class interface using Cloud Run and visualizes data insights with Looker Studio. The use of BigQuery has reduced the effort required to integrate data from various client platforms, making life a lot easier for 7Learnings' clients. The company has also been able to scale up its storage in line with customer demand using Google Cloud’s App Engine solution. Overall, the use of Google Cloud solutions has enabled 7Learnings to continue making predictive price optimization as intuitive as possible for its customers, while expanding its offering.

Impact #1

By using Google Cloud’s scalable solutions, 7Learnings was able to automate its time-consuming, manual decision-making processes. The company now powers prediction-based pricing for retailers, delivering accurate profit and revenue predictions on a product level. It provides a first-class interface using Cloud Run and visualizes data insights with Looker Studio. The use of BigQuery has reduced the effort required to integrate data from various client platforms, making life a lot easier for 7Learnings' clients. The company has also been able to scale up its storage in line with customer demand using Google Cloud’s App Engine solution. Overall, the use of Google Cloud solutions has enabled 7Learnings to continue making predictive price optimization as intuitive as possible for its customers, while expanding its offering.

Benefit #1	An average profit increase of 10% is delivered within three months
Benefit #2	Customers see profit increases of around 10%
Benefit #3	One customer, Vitafy, saw an 18% increase in sales, 12% revenue growth, and a 10% uplift in profits since working with 7Learnings

Benefit #1

An average profit increase of 10% is delivered within three months

Benefit #2

Customers see profit increases of around 10%

Benefit #3

One customer, Vitafy, saw an 18% increase in sales, 12% revenue growth, and a 10% uplift in profits since working with 7Learnings

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Overview

7Learnings: Leveraging Google Cloud for Predictive Pricing and Profit Optimization

Operational Impact

Quantitative Benefit