Coborn's, a popular grocery store chain in the Midwest, has been leveraging Agilence Analytics for over a decade to combat a wide variety of theft and operational challenges. Matt Larson, Coborn’s Director of Asset Protection, has been instrumental in utilizing Agilence to address multiple issues such as internal theft, cash shortages, and the complexities of self-checkout stations.
Throughout his time at Coborn’s, Matt and his team faced the ever-growing challenge of quickly and efficiently flagging suspicious behavior in high-risk areas of the store, particularly at self-checkout stations. These high-risk areas were prone to various types of fraudulent activities and operational issues that, if not detected promptly, could lead to significant financial losses and operational inefficiencies. The team often found that many incidents were either overlooked or required extensive time and resources to investigate and address, making it difficult to maintain the store's operational flow and truly capture all incidents.
Their primary concern was ensuring that suspicious behaviors were identified at the time of the incident to ensure that Matt and his team could quickly look back at a day and see all issues flagged for further investigation. Coborn’s needed an innovative solution that could streamline the process of identifying and addressing suspicious activities effectively and efficiently.