Katapult is an innovative app designed to provide a lease-to-own checkout solution catering specifically to the underserved subprime and no credit consumer market. It empowers consumers who might not qualify for traditional financing to take ownership of essential products. By offering an omni-channel experience, Katapult partners with a wide range of eCommerce and brick-and-mortar retailers across the nation. The app ensures a seamless and speedy checkout process with only 14 required fields and approval times of less than 5 seconds, all while not relying on traditional FICO scores. Katapult distinguishes itself with its transparent agreements, award-winning customer service, and 24/7 chat support. Through the use of APIs and iframe technology, the app integrates effortlessly into existing payment pages, managing everything from consumer application approvals to payment processing and lease servicing. Retail partners can also benefit from an extensive library of marketing assets and manage post-origination functions through the BigCommerce admin portal.

Kea Labs: Recommendations is a sophisticated platform designed to deliver personalized product recommendations tailored to specific business needs. Unlike generic recommendation tools, Kea Labs employs advanced algorithms fine-tuned to your unique use-case, ensuring you receive precise suggestions even for complex items. The platform integrates seamlessly as a SaaS solution, supported by a professional team committed to overcoming the limitations of traditional recommendation services. With models trained on your data and following your business rules, Kea Labs excels in providing real-time personalization without needing to store or process personal data. Its advanced features include automated bundles, compatibility checks for products, and enhanced algorithms for related items, all aimed at optimizing profitability. Additionally, Kea Labs supports A/B testing and offers detailed analytics for in-depth performance insights, making it a cost-effective and robust choice for businesses seeking a custom-made recommendation system.

7thLite ‑ Inventory Manager is a robust tool designed to optimize your inventory management by proactively responding to customer preferences using advanced analytics. The app features a powerful AI and machine learning engine that automatically evaluates sales trends and inventory productivity, providing you with intelligent reorder recommendations to ensure product availability precisely when needed. Its innovative Test Buy module allows businesses to efficiently test products and adjust reorder quantities swiftly, helping to anticipate and adapt to future demand trends effectively. With 7thLite's comprehensive Report module, users can visualize critical data through intuitive graphs and charts with detailed drill-down capabilities, facilitating informed decision-making. Proprietary algorithms work efficiently to detect inventory overages and shortages, while user-entered projections help manage inventory productivity and Open to Buy (OTB). Automated order execution based on these projections ensures a seamless and efficient inventory management process, supported by pre-made reports based on industry best practices.

Humaine AI is an innovative application designed to revolutionize how brands connect with their customers by leveraging consumer predictive algorithms rooted in cognitive science and behavioral factors. This powerful tool provides brands with the ability to forge meaningful human-to-human connections online, enhancing customer engagement and loyalty. With Humaine AI, businesses can view in-depth analyses of their users' personalities, offering profound insights into who loves their products and why. The app goes beyond mere data collection by delivering actionable, bespoke insights that drive informed decision-making and strategic marketing efforts. By predicting purchases and enhancing user retention through comprehensive user journey analysis, Humaine AI empowers brands to build stronger, more profitable relationships with their customers.