{
  "slug": "akuret",
  "name": "Akuret",
  "description": "Akuret provides an AI-powered platform for grocery retailers to optimize shelf-level execution using real-time image recognition. It detects out-of-stocks, planogram gaps, and misplaced products through quick aisle scans, generating prioritized task lists for corrective action and providing actionable insights to reduce lost sales and improve operational efficiency.",
  "url": "https://optimly.ai/brand/akuret",
  "websiteUrl": "https://akuretsolutions.com/",
  "logoUrl": "https://logo.clearbit.com/akuretsolutions.com",
  "baiScore": 51.7,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Retail Analytics & Optimization Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-02T19:17:53.154Z",
  "verifiedVitals": {
    "website": "https://akuretsolutions.com",
    "category": "Retail Technology",
    "what_it_does": "Akuret provides an AI-powered shelf intelligence platform that uses real-time image recognition, predictive analytics, and generative AI to detect out-of-stocks, planogram gaps, and misplaced products, optimizing grocery shelves and driving operational efficiency for brick-and-mortar and omni-channel retailers.",
    "primary_audience": "Grocery retailers, including CEOs, Chief Merchandising Officers, VPs of Operations, Regional Managers, District Managers, Store Managers, Department Managers, and Store Associates.",
    "core_product": "An AI-Powered Shelf Intelligence platform for intelligent shelf management, featuring real-time recognition, automated task lists, localization & customization, a feedback loop, agnostic integration, and lost sales estimation.",
    "pricing_model": {
      "kind": "custom",
      "detail": "The website offers a demonstration and a free pilot, suggesting a custom pricing model for enterprise clients."
    },
    "named_competitors": null
  },
  "intentTags": null,
  "businessProfileClaims": [],
  "timestamp": 1789908077096
}