Daltix provides a data analytics platform that automates the collection and analysis of retail data, including pricing, promotions, and product specifications, to enhance decision-making for retailers. By monitoring over 8 million products daily, Daltix enables businesses to identify market gaps and optimize their assortments, potentially increasing revenue by 3%.
Funding
$1.5M 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
Retailers face challenges in efficiently collecting and analyzing comprehensive retail data, including pricing, promotions, and product specifications, leading to difficulties in identifying market opportunities and optimizing product assortments. The manual processes involved are often time-consuming, error-prone, and lack the real-time insights needed for agile decision-making.
Solution
Daltix offers a data analytics platform that automates the aggregation, structuring, and analysis of retail data, providing actionable insights for retailers and FMCG suppliers. The platform monitors over 8 million products daily, employing advanced AI models and a human-in-the-loop validation process to ensure data quality. Daltix's tools enable users to identify market gaps, optimize product offerings, and benchmark against competitors, ultimately driving revenue growth. By integrating seamlessly with other data sources like Nielsen, Daltix delivers a comprehensive market overview, facilitating strategic decisions based on real-time performance metrics.
Target Audience
Daltix primarily serves retailers and Fast-Moving Consumer Goods (FMCG) suppliers seeking to optimize their product assortments, pricing strategies, and overall market competitiveness through data-driven insights.
Features
- Automated data collection from over 8 million products daily, covering pricing, promotions, and product specifications
- AI-powered product matching, including EAN matches and suggested matches based on deep learning and product similarities
- Interactive data matching tool with side-by-side product comparison, displaying key attributes like ingredients, descriptions, and Nutri-Scores
- Automated Assortment Analysis (A³) tool to identify market gaps and optimize product assortments, potentially increasing revenue by 3%
- Integration with Nielsen data for a complete market overview, enabling cross-referencing with real market performance metrics
- Data structuring and cleaning processes that handle over 35 million data points daily
- Data exchange via sFTP for seamless integration with other data sources
- Regionality checks with data per store location to track regional pricing strategies and omnichannel effectiveness