Eye-In Technologies

A “location-ready” Wi-Fi design isn’t only about the floor plan. Even the best AP layout can underperform if the hardware and installation details aren’t right. In Part 3 of our Wi-Fi geolocation series, we focus on the practical deployment side: which access points and antenna types are best for stable location analytics, and the installation habits that make a measurable difference in real stores. We cover things like: why omnidirectional coverage is typically the safest choice for geolocation stability, how mounting height consistency affects location accuracy, why APs shouldn’t be hidden above tiles or blocked by shelving, and why importing and aligning the floor plan in the Meraki dashboard is a must (not a “nice to have”). If you’re using Wi-Fi geolocation for heatmaps, zone traffic, dwell patterns, or customer journey analytics, this guide helps you avoid the most common deployment mistakes. Read Part 3 here: https://lnkd.in/eYvuSxmc #CiscoMeraki #WiFi #IndoorLocation #RetailAnalytics #NetworkDeployment #AccessPoints #WiFi7

Most Wi-Fi networks are designed for coverage. Wi-Fi geolocation needs something different: consistent overlap. In Part 2 of our retail geolocation series, we share a simple, visual method to plan a location-ready Cisco Meraki AP layout—step by step. The goal is to reduce “guesswork” and avoid the common issue we saw in the case study: dead zones near edges and corners that can distort heatmaps and zone analytics. The guide explains how to: choose a practical AP spacing target (15m / 12m / 10m depending on the space), build a repeatable “honeycomb” layout using a hex-grid approach, fill real floor plans (even weird building shapes) while keeping overlap consistent, make small deformations safely without breaking the mesh. If you’re planning Wi-Fi location analytics (heatmaps, customer journeys, zone traffic), this design method helps make the data far more trustworthy. Read Part 2 here: https://lnkd.in/eAqf7PxS #CiscoMeraki #WiFi #IndoorLocation #RetailAnalytics #NetworkDesign #Heatmaps #CustomerJourney

Retail stores deserve the same kind of intelligence we get online—but for the physical world. In this case study, we tested Wi-Fi based geolocation in a large sporting goods store using Cisco Meraki access points to answer a simple question: can Wi-Fi tracking deliver precision that’s actually useful for retail decisions? We looked at what the system can reliably do (heatmaps, zone traffic, dwell patterns, customer journeys), and where it struggles—especially near edges and corners, where “dead zones” can silently shift traffic into the wrong areas and distort aisle performance. Wi-Fi geolocation shares similarities with RTLS (Real-Time Location Systems), but the retail goal is usually different: not tracking every second—rather, building trustworthy zone-level insights you can act on. If you’re using Wi-Fi analytics today (or considering it), this will help you set the right expectations—and understand what infrastructure changes improve results. Read the full article here: https://lnkd.in/ekFRux3v #RetailAnalytics #WiFi #CiscoMeraki #IndoorLocation #Heatmaps #CustomerJourney #RetailTech