Lima

AI Prediction Platform for Reducing Overproduction in Fashion

Industrial Technologies
Private

Company Overview

Snapshot

Founded in July 2024 by Ann Cohen, Lima operates with 1–10 employees. The company is currently in the Pre-Funding stage, focusing on developing its AI prediction platform.

Business overview

Lima develops an AI-driven platform designed to reduce overproduction in the fashion industry by generating accurate product quantity predictions. The core technology analyzes consumer demand to optimize production and distribution, aiming to eliminate excess inventory, increase brand revenue, and reduce carbon emissions. The platform integrates with existing supply chain systems to ensure precise manufacturing and distribution, addressing supply chain complexities and rising costs. Lima currently focuses on the fashion industry, serving retailers and consumer goods companies, and is building its initial proof of concept with design partners.

Company Intelligence Q&A

What is Lima's primary mission?
Lima's primary mission is to reduce overproduction in the fashion industry by providing an AI prediction platform that generates accurate product quantity predictions, thereby eliminating excess inventory and reducing carbon emissions.
When was Lima founded and by whom?
Lima was founded in July 2024 by Ann Cohen, who serves as the Founder & CEO.
What technology does Lima utilize?
Lima utilizes an AI-driven prediction model that analyzes consumer demand to optimize production and distribution, integrating with existing supply chain systems for precise manufacturing.
Which industries does Lima primarily target?
Lima primarily targets the fashion industry, aiming to help retailers and consumer goods companies with smart merchandise planning and distribution.
What environmental impact does Lima aim to achieve?
Lima aims to cut overproduction in the fashion industry by 50%, which would result in a 20% reduction in clothing production and a reduction of 0.9 gigatons of CO2 emissions by 2030, along with reduced water waste and prevention of excess inventory from being burned or landfilled.