The startup offers an AI-driven platform that enables offline businesses to analyze customer shopping behaviors and tailor product recommendations. By automating the checkout process, the platform enhances operational efficiency and improves the overall customer experience, facilitating digital transformation for traditional retailers.
Funding
$440K 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
Brick-and-mortar businesses often lack the tools to understand customer behavior and preferences in the same way online retailers do, leading to inefficiencies in store layout, product placement, and marketing efforts. Traditional methods of gathering customer data are often manual, time-consuming, and provide limited insights. This makes it difficult for offline businesses to compete with online retailers who leverage data analytics to optimize the customer experience.
Solution
Triplet provides a suite of AI-powered solutions under the DeepLounge platform designed to help offline businesses analyze customer behavior, personalize the shopping experience, and optimize store operations. DeepLounge Analytics uses AI video analysis to gather data on customer demographics, traffic patterns, and product interactions, providing insights into store performance and customer preferences. DeepLounge AI-Kiosk offers personalized product recommendations based on customer preferences and purchase history, enhancing customer engagement and driving sales. DeepLounge AD enables targeted advertising within the store, delivering customized ads to customers based on their demographics and behavior.
Target Audience
Triplet's primary customers are brick-and-mortar retailers, including convenience stores, fashion retailers, wine shops, and department stores, as well as other offline businesses such as libraries and national parks.
Features
- AI-powered video analytics for customer demographics, traffic patterns, and product interaction analysis
- AI-Kiosk for personalized product recommendations based on customer preferences and purchase history
- Targeted advertising platform for delivering customized ads to customers in-store
- Integration with existing store systems for seamless data collection and analysis
- Real-time data updates for up-to-the-minute insights
- Customizable dashboards and reports for easy data visualization and interpretation
- AI trained on large datasets from various offline spaces, including retail stores, libraries, and national parks
- Re-ID technology to track visitor movement, including inter-floor transitions