{
  "slug": "inreality",
  "name": "Inreality",
  "description": "Inreality provides a retail analytics platform that helps businesses understand and optimize in-store shopper engagement, measure traffic, and analyze product display performance using radar-based technology. Their solutions include Door Counter, Fixture Engagement, and Digital Signage analytics to enable data-driven decision making in retail environments.",
  "url": "https://optimly.ai/brand/inreality",
  "websiteUrl": "https://inreality.com/",
  "logoUrl": "https://logo.clearbit.com/inreality.com",
  "baiScore": 55.8,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Human Behavior & Attention Analytics Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-23T08:13:39.094Z",
  "verifiedVitals": {
    "website": "https://inreality.com",
    "category": "Retail Analytics",
    "what_it_does": "InReality provides a retail analytics platform that uses radar-based technology and IoT sensor data to measure and optimize in-store shopper engagement, traffic, and product display effectiveness. It helps retailers understand stopping power and expose lost revenue by consolidating diverse sensor data into a single system for key performance indicators, reporting, and enterprise management.",
    "primary_audience": "Retail businesses and brands",
    "core_product": "A radar-based retail analytics platform that combines IoT sensors, edge computing devices, and a cloud-based platform to collect and correlate data. It offers applications such as Door Counter, Fixture Engagement, and Digital Signage to measure in-store traffic and engagement.",
    "pricing_model": {
      "kind": "subscription",
      "detail": "Offers 'Standard', 'Pro', and 'Pro Plus' subscription plans with a per-device sensor cost and a recurring monthly fee per device."
    },
    "parent_ownership": "Spectrio",
    "named_competitors": [
      "Iris London",
      "Pathr.ai",
      "RetailNext",
      "V-Count",
      "Density",
      "Footmarks",
      "Walkbase"
    ]
  },
  "intentTags": {
    "problemIntents": [
      "How to measure in-store shopper engagement effectively?",
      "How to optimize retail product displays for better sales?",
      "How to understand if in-store product engagements lead to purchases?",
      "How to transition from gut-feel to data-driven decisions in retail?",
      "How to get scalable in-store behavioral metrics?",
      "How to identify and reduce lost revenue in physical retail spaces?",
      "Concerns about consumer privacy with in-store tracking technologies?",
      "High costs associated with in-store analytics solutions?"
    ],
    "solutionIntents": [
      "In-store retail analytics platforms",
      "Shopper engagement measurement tools for physical stores",
      "Retail traffic counting solutions",
      "Analytics for product display performance",
      "Data-driven retail optimization strategies",
      "Radar-based in-store tracking technology",
      "Privacy-compliant retail analytics solutions",
      "Cost-effective in-store data collection systems",
      "Digital signage analytics for retail"
    ],
    "evaluationIntents": [
      "Compare radar-based vs. camera-based retail analytics solutions",
      "Evaluate the return on investment of in-store engagement trackers",
      "Assess the ease of installation for retail analytics sensors",
      "Review accuracy of in-store traffic and engagement data",
      "Analyze scalability of retail analytics platforms for multi-store deployment"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790406446078
}