Your Guide to All Things In-Store Analytics

Traditional POS data (T-Logs) only show what sold. Learn how leading retailers are using AI-driven speech analytics to measure frontline interactions (promo mentions, clarity, sentiment) to fully understand why holiday promotions succeed or fail at the register.

At NACS 2025 in Chicago, InStore.ai showcased how real-time in-store insights and Conversational AI are helping c-store retailers boost loyalty, train smarter, and “Deliver Awesome.” Read our full recap.

InStore.ai empowers convenience stores to boost summer sales by leveraging AI-driven voice analytics to personalize customer experiences, optimize promotions, manage inventory proactively, and uncover actionable insights for increased revenue and satisfaction.

InStore.ai helps convenience stores turn customer conflicts into loyalty-building opportunities through real-time voice analytics, data-driven insights, and targeted employee training.

Retailers can boost summer sales by leveraging InStore.ai’s voice analytics and AI technology to gain real-time insights from cashier-customer interactions, optimize staff performance, and meet seasonal demand effectively. By addressing operational issues proactively and continuously improving based on data-driven insights, stores can enhance customer experiences, reduce lost sales, and build long-term loyalty.

InStore.ai revolutionizes loyalty programs by leveraging voice analytics to transform employee-customer interactions into valuable insights, enhancing customer engagement, improving loyalty signups, and driving significant business growth in the retail sector.

IoT, artificial intelligence and other solutions increase efficiency and the bottom line for Convenience Stores.

AI-powered voice analytics help retailers enhance customer experiences by providing actionable insights from conversations between employees and shoppers, improving sales, loyalty, and operational efficiency. By analyzing real-time interactions, the platform enables retailers to optimize employee performance, refine customer interactions, and foster lasting loyalty through personalized, data-driven strategies.

How early adopters from Mach 1 Stores and FavTrip are approaching AI to improve their business.

Voice analytics powered by AI aim to help employees optimize and accelerate loyalty programs.

Leveraging AI to monitor and improve customer experience and engagement.

New England convenience-store chain partnered with InStore.ai to improve loyalty, merchandising and safety By Rachel Gignac on Aug. 15, 2024

Acumera, a leading provider of software-as-a-service (SaaS) solutions for edge computing, network operations, visualization, and security, is delighted to announce a strategic partnership with InStore.ai, a cutting-edge technology company specializing in helping people measure and improve in-person experiences by unveiling insights through artificial intelligence from previously untapped voice interactions.

As the company gears up to launch its revolutionary retail voice analytics product, aimed at enhancing customer experiences in fuel and convenience and hospitality, these strategic appointments underscore InStore.ai’s dedication to innovation and exceptional client value.

Convenience stores are leveraging computer vision and voice analytics to address challenges like theft, fraud, and operational inefficiencies, enhancing security and the shopping experience while ensuring ethical practices and customer privacy.

In the fast-paced world of convenience stores, voice analytics revolutionizes cashier training by providing unbiased performance insights, personalized feedback, and identifying training needs.

Voice analytics significantly enhances loyalty programs in convenience stores by analyzing customer conversations to tailor rewards and promotions to individual preferences. This strategy not only boosts customer engagement and sales but also enables continuous improvement through real-time feedback on customer experiences.

AI technology boosts efficiency and profitability in convenience stores by analyzing interactions for real-time insights and identifying operational inefficiencies. It also ensures compliance, manages high employee turnover with targeted analytics, and enhances security measures.

High turnover rates among cashiers in convenience stores can disrupt operations and impact customer service. By using voice analytics, training can be tailored based on daily interactions, best practices from top employees are highlighted, and workplace dynamics are monitored.

Speech analytics transforms retail management by providing real-time insights into customer emotions and behaviors, enabling tailored strategies and improved service. This technology has helped retailers like convenience store chains optimize staffing to reduce wait times and enhance customer satisfaction.

Speech analytics technology transforms guest interactions into actionable insights, helping regional hotel managers maintain high-quality experiences and innovate across multiple properties. This tool enables real-time problem solving and personalization, ensuring consistent guest satisfaction.

InStore.ai has secured $5 million in seed funding to expand our AI technology in the retail sector, particularly in fuel and convenience stores with over 160 million daily transactions in the U.S.