{
  "slug": "retailnext",
  "name": "RetailNext",
  "description": "RetailNext provides an integrated platform for retail intelligence, offering traffic analytics, asset protection, and shopper insights. It processes billions of shopping trips annually, providing a rich in-store dataset. The platform is enhanced with Pulse AI, a conversational intelligence layer that allows users to query data in plain language for immediate insights.",
  "url": "https://optimly.ai/brand/retailnext",
  "websiteUrl": "https://retailnext.net/",
  "logoUrl": "https://logo.clearbit.com/retailnext.net",
  "baiScore": null,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Retail Technology",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-08-30T00:06:04.600Z",
  "verifiedVitals": {
    "website": "https://retailnext.net"
  },
  "intentTags": {
    "problemIntents": [
      "Manual Data Collection & Analysis: Store employees manually count traffic, observe shopper behavior, and compile reports using spreadsheets, which is time-consuming, prone to error, and lacks real-tim",
      "Retail Consulting Firms: Hiring consultants to analyze store performance, shopper behavior, and loss prevention issues based on existing data, offering insights but lacking continuous, real-time data ",
      "Guesswork / Basic POS Data: Operating stores based on intuition, anecdotal evidence, or only rudimentary sales data from POS systems, leading to inefficient staffing, suboptimal layouts, and missed op"
    ],
    "solutionIntents": [
      "RetailNext traffic analytics",
      "RetailNext asset protection",
      "RetailNext shopper insights",
      "RetailNext Pulse AI",
      "In-store retail data platform",
      "Fragmented Point Solutions: Using separate vendors for traffic counting, video surveillance/loss prevention, and shopper behavior mapping, leading to siloed data, integration challenges, and inconsist"
    ],
    "evaluationIntents": []
  },
  "businessProfileClaims": [],
  "timestamp": 1788075171515
}