CASE STUDY
Developing Demand Forecasting Capabilities with GCP for Leading US Mattress Retailer
About The Client
The client has been the USA’s largest specialty mattress retailer for 90 years, with 2000+ neighborhood stores in 49 states. It has a large selection of quality, brand-name bedding products with competitive pricing. Furthermore, it has an affiliate fundraising organization founded in 2005, which helps public schools and other groups raise money with the help of mattress sales.
Industry | Retail
Solutions | Google Cloud Platform
Location | USA
Business Challenges
- The entire data transformation process was manual, time-consuming, and prone to errors.
- Backtracking and error management was complicated due to relying on a manual process.
- Client had to perform multi-step calculations on MS Excel to send to the supply chain department.
- The client wanted to create an automated solution to forecast the demand curve of selected products.
Business Solutions
- The flexible system accommodates unlimited file uploads to GCP Storage buckets.
- Files were stored in GCP Storage buckets to synchronize with local folders, facilitating input and output interactions for planners.
- Our team focused on automation, creating an easy-to-use interface and a new database.
- The applications developed were deployed on the Google Cloud Platform (GCP) server.
Key Outcomes
Real-Time Demand Forecasting Capabilities
6-9 Months Advanced Demand Forecasting Capabilities
100% Automated Demand Forecasting Process
100% Decrease in Calculation Errors
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