Retail Location Analytics Solutions

Using Computer Vision and Operational AI for Retail-Occupancy Analytics. Traditional retail analytics often fall short. Operational AI offers a smarter solution: 𝗚𝗮𝗶𝗻 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗱𝗮𝘁𝗮: - Understand foot traffic patterns and consumer behavior. - Identify peak traffic hours and make data-driven decisions. - Optimize store layouts and staffing levels. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮𝗻 𝗲𝗻𝗴𝗮𝗴𝗶𝗻𝗴 𝗮𝗻𝗱 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝘀𝗵𝗼𝗽𝗽𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: - Tailor your offerings and promotions based on real-time data. - Improve queue management and reduce waiting times. - Provide a seamless and convenient shopping journey. 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗳𝗿𝗼𝗻𝘁𝗹𝗶𝗻𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆: - Analyze footfall trends, queue lengths, and conversion rates. - Improve staffing allocation and scheduling. - Optimize workflows and reduce operational costs. Video: Teknoir #ComputerVision #AI #Industry40 #DigitalTransformation #Retail #RetailTech #ConsumerInsights #SmartRetail #CustomerExperience #AIinRetail #RetailInnovation #QueueManagement

Here's my article on optimizing retail properties with data-driven Insights A Business Intelligence Case Study One of BriefCam’s largest customers utilizes an impressive 300 dashboards, demonstrating the depth and breadth of insights available. These dashboards provide rich, actionable data that retailers are using in innovative and creative ways to drive business decisions. Let’s explore how this customer and other malls and retailers can use video analytics for data-driven insight: 1. Unique Visitor Insight  By using pseudonymization techniques, BriefCam ensures that repeat visitors are only counted once without compromising privacy, as no PII data is collected.  BriefCam's system can refine the data further by configuring rules to exclude staff members, security personnel, and other non-customer individuals from the count.  2. Customer Movement Insight  BriefCam is capable of more than simple counting, this user also leverages our platform to gain insight into visitor movement patterns, identify hotspots within their stores, and compare performance across multiple locations. This level of granular, multi-site analysis is simply not possible with traditional edge-based analytics systems, which are typically limited to two or three analytics per camera. 3. New Tenant Insight  On a larger scale, mall property developers are using BriefCam to gather footfall data and mall occupancy data to attract new tenants to their premises. By using data-backed intelligence, the decision to lease a space, open a branch of a bank, within the mall is no longer based on guess work and intuition. By using BriefCam as a data aggregator, malls can use an investment traditionally used for security as a revenue generator by attracting new tenants into their properties.  4. Insight Across Multiple Locations  Finally, for retail property developers managing multiple locations, BriefCam’s platform offers the ability to compare key performance indicators (KPIs) across different sites. This bird’s-eye view of operations across an entire portfolio is invaluable for strategic decision-making and resource allocation.  #BriefCam #Milestonesystems #AxisCommunications #Canon #KSA #UAE

Most companies using psychographic segmentation don’t know how to leverage it to pick locations. Here’s how: 🔍 Identify Your Best Customers: Use existing mobile foot traffic data or sales data to map your customers to specific segments. This way, you’ll know exactly who your best customers are and where they are located. 🗺️ Create Heatmaps for Target Segments: Once you’ve identified your segments, create heatmaps to find where your target customers are concentrated. Aggregate the total population of these segments in each trade area to compare potential locations. 📈 Surface Trade Area Segment Aggregations: When considering a new location, sum the population in the trade area and calculate the percentage of households in your target demographic. This gives you a clear picture of market viability. ⚖️ Compare Locations: Easily compare your top and bottom-performing stores to identify patterns in customer types. You can also compare your locations against competitors to uncover competitive advantages. 🚀 Enhance Predictive & Cannibalization Models: Overlay trade areas to predict potential cannibalization. If none of the people are in your target segment, it’s less likely to impact your business. Psychographic segmentation outperforms demographic-only models in retail predictive analysis. By focusing on these strategies, you can make smarter, data-driven decisions when expanding your retail footprint. #retailstrategy #locationanalytics #psychographics #customersegmentation #businessgrowth