Stylumia
VS
Heuritech
Stylumia
Stylumia offers a suite of AI-powered solutions designed to revolutionize trend forecasting and demand prediction within the fashion and lifestyle sectors. By leveraging proprietary Demand Sensing™ machine learning algorithms and analyzing vast consumer demand signals, Stylumia aims to move beyond subjective or supply-driven trend identification. The platform processes data from global designers, brands, retailers, and runways, filtering out noise to reveal true consumer demand patterns.
This technology enables businesses to spot winning trends, validate product ideas, optimize inventory, and make informed decisions about assortment width and depth. Stylumia's solutions, including Consumer Intelligence, Apollo, and ImaGenie, assist in predicting demand for new products, reducing markdowns, improving speed to market, and increasing full-price sell-through. The goal is to minimize waste and align product offerings more closely with actual consumer preferences, enhancing profitability and sustainability.
Heuritech
Heuritech utilizes advanced Artificial Intelligence to provide fashion trend forecasting solutions. Founded in 2013 by PhDs in Machine Learning, the platform employs AI-based visual recognition technology and a sophisticated forecasting model. It analyzes over 3 million social media images daily to identify and quantify fashion trends based on the largest available dataset on fashion. This technology can detect over 2,000 fashion attributes, ranging from broad categories like prints, colors, and fabrics to specific shapes and product attributes, providing unbiased data about market preferences.
The core offering, Market Insights, is delivered as a SaaS platform or API, designed for both creative and analytical teams within apparel brands. By quantifying consumer demand and predicting trend trajectories for upcoming seasons, Heuritech empowers brands to make data-driven decisions. This leads to optimized collection assortments tailored to regional market specificities, reduced overstock, minimized missed revenue opportunities, and helps anticipate key trends, ultimately supporting a company's digital transformation through data and AI.
Pricing
Stylumia Pricing
Stylumia offers Contact for Pricing pricing .
Heuritech Pricing
Heuritech offers Paid pricing with plans starting from $1080 per month .
Features
Stylumia
- True Demand™ Trend Forecasting: Identifies and validates fashion trends based on real consumer demand signals.
- Demand Sensing™ Algorithms: Proprietary AI/ML technology to filter noise and reveal true demand.
- Apollo Demand Prediction: Forecasts demand for new products using image and text analysis combined with transaction data.
- ImaGenie Design Generation: AI tool that analyzes styles and attributes to generate winning design ideas aligned with brand DNA.
- Consumer Intelligence Platform: Provides insights from global designers, brands, retailers, and runways.
- Assortment and Price Optimization: Helps identify white space opportunities.
- Inventory Management Support: Aims to reduce markdown and optimize stock levels.
Heuritech
- AI-Powered Trend Forecasting: Predicts fashion trends up to 2 years ahead with 90% accuracy.
- Visual Recognition Technology: Detects over 2,000 fashion attributes from social media images.
- Large-Scale Data Analysis: Processes over 3 million social images daily.
- Market Insights Platform: SaaS solution offering visual data, trend trajectories, and predictive insights.
- Consumer Demand Quantification: Measures the adoption rate of trends across diverse consumer segments and markets.
- Regional Market Specificity: Delivers insights tailored to different geographical areas.
- API Access: Provides API options for data integration (Business/Enterprise plans).
Use Cases
Stylumia Use Cases
- Identifying emerging fashion and lifestyle trends.
- Validating new product designs and concepts before investment.
- Predicting sales demand for upcoming product launches.
- Optimizing product assortment for specific markets or stores.
- Reducing excess inventory and minimizing markdowns.
- Improving speed to market for new collections.
- Entering new product categories or markets with data-backed insights.
- Generating data-driven design briefs and mood boards.
Heuritech Use Cases
- Optimizing fashion collection assortments based on predicted demand.
- Reducing overstock by identifying potential slow-sellers.
- Identifying and incorporating emerging fashion trends relevant to target markets.
- Validating design concepts and decisions with quantitative data.
- Improving demand forecasting accuracy for specific product categories.
- Sharpening competitive positioning through market dynamic analysis.
- Facilitating data-driven collaboration between creative and analytical teams.
- Balancing collection plans according to future market demand across regions.
Stylumia
Heuritech
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