Lima utilizes AI-driven analytics to provide precise manufacturing quantities for fashion designs, significantly reducing excess inventory and associated costs. By enabling brands to focus on high-demand products, Lima helps increase revenue by up to 15% while supporting sustainability goals through decreased carbon emissions.
Funding
Funding not disclosed
Founders
Product
Problem
The fashion industry faces significant revenue loss due to overproduction, with brands often producing 40% more inventory than needed. This excess inventory leads to increased costs, inefficiencies in the supply chain, and negative environmental impacts. Current merchandise planning methods often rely on guesswork and incomplete data, resulting in inaccurate production quantities.
Solution
Lima is a platform that provides fashion retailers with data-driven insights for smart merchandise planning, enabling them to optimize production quantities and reduce excess inventory. The platform analyzes data from various sources to provide precise manufacturing quantities for each new design, broken down by color and size. Lima identifies products most likely to become bestsellers, allowing brands to focus on high-demand items and maximize profits. By using Lima, fashion brands can improve margins, streamline supply chain efficiency, and reduce their environmental footprint.
Target Audience
Lima primarily targets fashion retailers seeking to optimize their merchandise planning, reduce excess inventory, and improve profitability.
Features
- Provides precise manufacturing quantities for each design, broken down by color and size
- Identifies potential best-selling products before they hit the shelves
- Integrates data from various sources into a single platform for a unified view of product performance
- Offers an intuitive interface that requires no complex integrations or data analysis
- Aims to cut excess inventory by 50%
- Claims to increase revenue by 15% by focusing on designs that will sell