How Trendly reduced inventory waste by 32%
Challenge
Trendly's rapid growth made inventory planning increasingly complex. Demand varied significantly across products, sizes, regions, and seasons, making it difficult to determine how much stock to order and where to allocate it.
Overstock created costly markdowns while underestimated demand caused popular products to sell out early, resulting in missed revenue and frustrated customers.
Approach
Vesper brought together historical sales, inventory movement, seasonal trends, and customer demand signals to help Trendly anticipate demand more accurately.
The team focused on:
- Automate recurring reports and approvals
- Route incoming requests intelligently
- Synchronize data between core systems
- Flag exceptions for human review
This gave merchandising teams clearer insights while keeping final inventory decisions in their hands.
Solution
Vesper introduced an intelligent forecasting layer across Trendly's inventory operations, continuously analyzing demand patterns and highlighting where stock levels required attention.
Trendly could now:
- Automatically classify and assign requests
- Generate reports from live data
- Streamline routine approval processes
- Surface operational issues instantly
- Scale workflows without added complexity
Within six months, Trendly reduced excess inventory and markdown dependency while keeping more high-demand products available throughout each collection cycle.
