Hakio provides AI-driven demand forecasting specifically for fashion brands, utilizing real-time data to enhance inventory management and reduce waste. By improving forecasting accuracy by over 60%, Hakio helps brands optimize working capital and maintain product availability, minimizing excess inventory and stockouts.
Funding
$4.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


DVPVFounders
Product
Problem
Fashion brands face challenges in accurately predicting demand due to rapidly changing trends, seasonal variations, and diverse consumer preferences, leading to inefficient inventory management, excess stock, and lost sales opportunities. Traditional forecasting methods often rely on historical data and manual adjustments, failing to capture real-time market dynamics and resulting in inaccurate predictions.
Solution
Hakio provides an AI-powered demand forecasting platform tailored for the fashion industry, enabling brands to optimize inventory levels and improve product availability. The platform leverages advanced algorithms and real-time data to accurately anticipate trends, seasonal patterns, and market performance. By centralizing data and streamlining forecasting processes, Hakio empowers planning teams to make data-driven decisions, reduce excess inventory, and prevent stockouts. The system also allows for manual input, integrating the experience and knowledge of the planning team into the forecasting process.
Target Audience
Hakio primarily targets fashion brands and retailers seeking to improve demand forecasting accuracy, optimize inventory management, and reduce waste.
Features
- AI-driven demand forecasting algorithms tailored for the fashion industry
- Real-time data integration to capture current market trends and consumer behavior
- Centralized data management for streamlined forecasting processes
- Customizable algorithms to suit the unique context of each business
- Manual input capabilities for incorporating expert knowledge and experience
- Reporting and analytics dashboard for monitoring forecast accuracy and inventory levels
- Integration with existing supply chain and inventory management systems