Lima · raw details

AI Prediction Platform for Reducing Overproduction in Fashion · Ramat Gan · Founded 2024

active Pre-Funding ← back to profile

Highlights

Climate techProfile claimed by owner

About

AI Prediction Platform for Reducing Overproduction in Fashion

Lima develops a platform designed to reduce overproduction in the fashion industry by generating accurate product quantity predictions. The platform helps eliminate excess inventory, increase brand revenue, and reduce carbon emissions from overproduction. Lima aims to implement smart merchandise planning and address supply chain complexities and rising costs by manufacturing less and using smart distribution planning based on consumer needs.

The core of Lima's technology is its AI-driven prediction model that analyzes consumer demand to optimize production and distribution. This technology integrates with existing supply chain systems to ensure precise manufacturing and distribution, reducing waste and increasing efficiency. Currently focused on the fashion industry, Lima is building its initial proof of concept with two design partners.

Identity

NameLima
Sluglima
Type / kindstartup
Source _idN5pO91Vrmx8PNsy1KcYgGtOv4bPPlUvGD8VueelbT1qAstQ9rOn6UP

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityRamat Gan
HQ addressRamat Gan, Israel

Web & social

Websitehttps://www.lima-ai.com
LinkedInhttps://www.linkedin.com/company/96424248

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Climate TechClean Industry Tech Eco-Efficient ManufacturingIndustrial TechnologiesOperational Optimization SolutionsBusiness SoftwareIT, R&D & Data SolutionsData Analysis & Decision Support
Technologies
Artificial Intelligence
Target customers
Media & EntertainmentFashionCommerce & RetailConsumer Goods
Business models
B2B
Tags
clean-manufacturingconsumer-electronicsretailsupply-chainenterprise-solutionsonline-retailersfashionartificial-intelligencedata-analyticsenterprise-logisticsindustry-4-0retailersmachine-learningclimate-techenterprise-softwareconsumer-engagement

Funding

Total raised
Current stagePre-Funding

Raw source document

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