Demand Prediction Tool
Customer: Tallinn Dolls
Year: 2023
Team size: 3 people
Built a demand prediction tool for clothing manufacturer Tallinn Dolls to estimate manufacturing quantities accurately. The solution can highlight which products were selling the fastest, which products ran out of stock too fast, and which stayed in stock past the expected sales period. Based on this information from previous seasons, it's possible to suggest the best products for the new season and the expected manufacturing quantities. It's possible to make predictions based on specific product types, vary the prediction period, and take into account different lead times, profitability, target groups, etc.
The main reasons for building custom custom solutions are a mix of make-to-stock, make-to-order, and pre-order products, plus the need to make predictions based on similar bill-of-materials as fashion designs are short-lived.
- Mapped main business needs with the customer.
- Researched existing solutions on the market.
- Proposed the most relevant metrics and implementation to the customer.
- Built proof-of-concept.
- Onboarded analyst/project manager.
- Wrote technical requirements and best practices for developers.
- Onboarded the developer.
- Added technical implementation notes to tasks created by the analyst.
- Reviewed software design chosen by the developer.
- Helped developer with technical questions and integration work.
- Chose and set up hosting for development, staging, and live environments.
- Automated testing, code quality checks, and deployments
- Conducted technical review and deployment.
- Made sure the solution was demonstrated to the customer and documented.
- Made sure bugs were documented and fixed.
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