Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Pensa
Pensa identifies and alerts on stock shortages while also forecasting potential low inventory levels. The platform gathers actionable data in real-time, ensuring it is collected more quickly, often, and with greater precision, all at a reduced expense. It enables comparisons of a leading brand's shelf performance against its rivals regarding stockouts, shelf share, and other factors that could affect revenue. Gaining insights into how consumers or third-party pickers substitute your products during stockout scenarios is essential for fostering your incremental growth. By providing a comprehensive view of actual consumer choices among your brand and competitors, Pensa’s ongoing shelf signal offers invaluable insights at scale. Errors in POS and perpetual inventory data that feed into your demand forecasting models can create significant challenges further down the line. By integrating Pensa’s real-time shelf signal with historical indicators such as POS data, businesses can reveal the true demand levels, facilitating the correction of inventory discrepancies and enhancing the reliability of demand forecasts. This approach ultimately leads to more informed decision-making and improved operational efficiency.
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Percolata
Our organization leverages machine learning to empower businesses in making more informed choices regarding marketing and operational strategies. We deliver predictive analytics that allow for precise hourly forecasts of sales and foot traffic at every retail location, enabling companies to tailor their staffing and delivery according to peak customer demand. Utilizing our unique deep learning technology, marketers can efficiently allocate their budgets to increase sales to their online platforms. Our solutions have been adopted by multinational corporations to streamline their marketing efforts and staffing, ultimately leading to improved sales figures and heightened customer satisfaction. By harnessing data-driven insights, businesses can adapt more effectively to changing market conditions.
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