Reckon provides a Smart Cabinet AI Operating System that enables fully automated, modular points of sale, allowing customers to shop without checkout queues. This technology facilitates 24/7 store operations and real-time inventory management, significantly reducing operational costs and enhancing the shopping experience.
Funding
$17M 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
Traditional retail environments often suffer from long checkout lines, which can lead to customer frustration and lost sales. Managing inventory and store operations around the clock also presents significant challenges for retailers, increasing operational costs.
Solution
Reckon provides an AI-powered operating system for automated, modular points of sale, enabling a "grab and go" shopping experience without checkout queues. The system uses AI algorithms and cloud-connected back-office tools to manage stores, allowing for 24/7 operation and real-time inventory monitoring. Customers can enter the store, select their items, and have their card automatically charged as they leave, streamlining the shopping process. This technology aims to reduce operational costs, provide real-time insights, and enhance customer satisfaction by offering a fast and frictionless shopping experience.
Target Audience
Reckon's primary customers are retailers looking to automate their stores, reduce operational costs, and improve the customer shopping experience, including convenience stores, supermarkets, and other retail businesses.
Features
- AI-powered system for automated checkout and payment processing
- 24/7 cloud-connected back office for real-time inventory management and store monitoring
- MicroStore-as-a-Service pricing model
- Real-time customer analysis and reporting
- Integration with existing store infrastructure
- Mobile app for customer access and payment
- AI algorithms for predicting and optimizing resource deployment