7Learnings: Leveraging Google Cloud for Predictive Pricing and Profit Optimization
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
About The 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.
The 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.
The 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.
Operational Impact
Quantitative Benefit
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