Toptal helps leading consumer products company improve sales forecasting capabilities.
With an outdated system in place, the client enlisted Toptal to reduce the time and manual labor involved in global sales forecasting.
Client
A leading consumer products company known for popular outdoor and lifestyle footwear and apparel brands.
Employees
Industry
Consumer ProductsDelivered Services
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Schedule a CallChallenge
The client, a leading outdoor clothing company, had been using an inefficient spreadsheet method for forecasting, causing slow response times to their biggest manufacturer. With the goal of developing an automated solution on AWS, the client turned to experienced Toptal talent to lead the way toward improving its D2C data pipelines.
Solution
Building on AWS
The client had originally been storing data in many different places. Leveraging expertise in Python and experience in AWS, the Toptal team helped connect the complex layers of data scattered in various locations, providing a way for users to analyze millions of rows of data in a single page.
Optimizing process
The Toptal team utilized the full CI/CD cycle to maximize productivity by reducing change deployment time. Using Agile methodology, the team built the solution according to the AWS Well-Architected Framework and deployed it to the AWS cloud. The solution was vetted and approved by an auditor from AWS.
Outcome
Getting the most out of data
The delivered solution not only reduced the time to collect required information from the client’s various sites and employees, but also provided a way to interpret the collected information in a more meaningful way. The final product also stored the historic data, paving the way for sophisticated AI approaches to data interpretation.
Faster, smoother, more accurate operations
By automating sales forecasting in AWS, the client was able to send orders to all factories much more accurately. Eliminating much of the manual labor and streamlining the forecasting process also allowed the client to restore stock faster.
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