SeeStone provides retail buyers with an AI-powered platform that transforms product photos into precise attributes and sales forecasts. This system instantly generates optimized initial buys and size quantities, allowing buyers to focus on strategy rather than manual data analysis. The platform aims to boost profitability and reduce waste by enabling faster, data-driven assortment planning decisions.
Funding
$150K 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.
Founders
Product
Problem
Fashion retailers often struggle with inaccurate demand forecasting, leading to overstocking of unpopular items and understocking of bestsellers. This results in significant financial losses due to markdowns, storage costs, and missed sales opportunities. The traditional buying process relies heavily on intuition and historical data, which fails to account for emerging trends and changing consumer preferences.
Solution
SeeStone offers an AI-powered platform that optimizes seasonal fashion buying by predicting best-selling styles and recommending optimal inventory quantities. The platform analyzes historical sales data, current trends, and future range information to provide data-backed recommendations. By leveraging machine learning algorithms, SeeStone identifies potential errors in quantities and pricing, enabling retailers to make informed decisions and correct course early in the buying process. The platform consolidates all relevant data into a single interface, eliminating the need for disparate portals and spreadsheets, and streamlining the buying process.
Target Audience
SeeStone primarily targets fashion retailers seeking to improve their seasonal buying process, reduce excess inventory, and increase profitability.
Features
- AI-driven analytics to identify future bestsellers and slow-moving items
- Intelligent benchmarking and sell-rate classifications for optimal buy quantities
- Sizing estimates to correct historical anomalies and improve inventory allocation
- Automated assortment plan generation based on AI-powered insights
- Strategic review guide for seamless range cohesion and strategic growth
- Centralized error detection for quantities and pricing
- Consolidated platform for accessing all relevant data in one place