effie.ai
Also known as: Effie, effie.ai Inc.
Agentic retail execution platform for consumer goods, whose AI agents read the shelf, build a per-visit action plan, guide merchandisers through it and verify completion on the spot.
effie.ai is an agentic retail execution platform for consumer goods brands, retailers and distributors, built around the store visit. Its AI agents consolidate what a given store requires (planograms, promotional instructions, monthly priorities and compliance standards), read the actual shelf through image recognition, build an action plan for that visit, guide the merchandiser through it step by step, verify each task as it is completed, and report the result from the shelf back to headquarters while the merchandiser is still on site.
Two agents ship. The AI Merchandising Agent runs the visit workflow end to end, detecting out-of-stock items, facing gaps, display problems and promotional non-compliance. The AI Perfect Store Agent applies Perfect Store standards during the visit rather than measuring them afterwards, delivering prioritized next actions so issues are corrected on the spot. Around them sit computer vision for products, prices and promotional tags, an AI camera that helps field staff capture usable shelf photographs, augmented-reality cues shown during merchandising, CCTV-based store monitoring, and analytics for headquarters.
The platform runs on Microsoft Azure, is ISO 27001 and ISO 27701 certified, states compliance with GDPR and CCPA, and commissions independent penetration testing and third-party audits. Field teams work through iOS and Android applications. Customers named on the site include Unilever, PepsiCo, Coca-Cola Beverages Ukraine, Shell, Teva, Nestlé and a number of regional CPG groups. Pricing is not published. The vendor prepares a proposal scoped to company size, field team structure and stage of expansion.
Vendor details
Canonical URL
https://effie.ai
Category
Enterprise operations agent
Subcategory
Agentic retail execution and field force operations
Funding status
Private. Agentic retail execution platform used by consumer goods companies including Nestle and Coca Cola Beverages Ukraine.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Consolidates store-level requirements described by document type (compliance documents, planograms, monthly priorities and promotional instructions) into a single execution flow, takes continuous input from in-store CCTV, and reports verified execution data from the shelf back to headquarters. Field work runs on iOS and Android applications published on both app stores. effie.ai names no system integration, connector catalog or public API, and does not say how requirements reach the platform.
In practice
Your merchandisers walk into each store with a plan built for that visit. The AI Merchandising Agent reads the shelf through image recognition, guides them through each task step by step and verifies it in real time.
Your brand wants Perfect Store standards met during the visit, not measured afterwards. The AI Perfect Store Agent delivers prioritized Next Best Actions so merchandisers correct issues at the shelf.
Your headquarters team needs to know what happened in every store. Effie reports verified execution data from the shelf, so each visit leaves an image backed trace of what was required, what was found and what was done.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
4.5 / 14 capabilities · 32%
| Integrations & Tool Calling | Partial |
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The agent consolidates store level requirements from multiple sources into one execution flow. Those sources are compliance documents, planograms, monthly priorities and promotional instructions, named by document type and not by system. The agent also takes continuous input from CCTV in the store, runs on iOS and Android field applications published on both app stores, and reports verified execution data from the shelf back to headquarters. Effie names no integration, connector catalog, or ERP, CRM or trade promotion system, and it does not say what the platform connects to or how requirements arrive. Effie publishes no API for customers to add connections of their own. The flow reports to HQ inside the platform and takes no authenticated action in a system Effie does not own. Sourceeffie.ai/ai-agents and effie.ai/technology-securityread 2026-09-08 |
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| Workflow Orchestration | Partial |
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One agent runs a six step flow in a fixed sequence. It consolidates store level requirements from multiple sources, analyzes shelf context through image recognition, generates a store specific action plan, guides the merchandiser step by step, verifies task completion in real time, and reports from shelf to HQ. The content varies by store, but the sequence does not. Customers get no workflow builder to configure, and the flow has no branching or conditional routing. Effie names no runtime. The AI Merchandising Agent and the AI Perfect Store Agent work independently, and Effie names no coordination between them. The only other participant is the human merchandiser who carries out the steps. Sourceeffie.ai/ai-agents and effie.airead 2026-09-08 |
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| Knowledge Grounding & RAG | Full |
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AI Ready Data is a distinct component of the Effie ecosystem, sold alongside AI Agents and AI Image Recognition. The agent consolidates store level requirements from multiple sources, including compliance documents, planograms, monthly priorities and promotional instructions, into a structure it reads on every visit. It compares that structure against live shelf conditions read by computer vision. Verified execution data then persists into Analytics and feeds the next visit. The customer's own knowledge sits in a structure that outlives any single run, scales across a store estate and is queried again and again. The corpus is durable and is not assembled per request. What varies per visit is which slice of it the agent reads. Effie names no index, graph or embeddings layer and does not disclose how retrieval works. Sourceeffie.ai/ai-agents and effie.airead 2026-09-08 |
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| Human Oversight & Guardrails | Partial |
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The agent's output is advisory. It delivers prioritized Next Best Actions and guides a merchandiser step by step. Every change that reaches a shelf is made by a person who could decline to make it, and the agent never acts unilaterally in the world. The agent guides and verifies the person at the shelf, which is the reverse of a person reviewing or approving what the agent does. Effie names no approval queue, confidence threshold, review step or hold over the agent's own outputs, such as the action plan it generates, the verification it records or the report it sends to headquarters. Sourceeffie.ai/ai-agents and effie.airead 2026-09-08 |
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| Security, Identity & Governance | Partial |
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The platform is ISO 27001 and ISO 27701 certified, and Effie states compliance with GDPR and CCPA. It is hosted in Microsoft Azure data centers, with regular independent penetration testing and third party audits. Effie also publishes a Security statement at effie.ai/security, a Privacy Policy and an AI Use Policy. Effie names no SSO, SAML, SCIM, OIDC, RBAC, roles or granular permissions. Customers sign in at auth.effie.ai. Sourceeffie.ai/technology-security and effie.ai footerread 2026-09-08 |
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| Observability & Auditability | Partial |
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Analytics & Insights is a named component of the platform. Task completion is verified in real time at the shelf and reported directly to headquarters. Each visit leaves a dated trace, backed by images, of what was required, what was found and what was done. Effie supplies that record itself, and it does not come from the customer's systems. The record covers field operations, not the agent. Effie names no agent run trace, decision record or reasoning log, and does not say whether the record tells an instruction the agent generated apart from one a supervisor set. Coca-Cola Beverages Ukraine, a customer, says it monitors all processes from setting tasks to implementation. Sourceeffie.ai/analytics-and-insights and effie.airead 2026-09-08 |
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| Memory & State Persistence | Not documented |
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The agent consolidates requirements and reads the shelf fresh on each visit, and that context lasts only for the run. Effie names no memory layer for its agents, whether per user, per team or per store, and publishes no retention or deletion control. The historical execution record held in Analytics & Insights is the application's own operational data. There is no conversation either, since the agent guides through a structured mobile workflow, not a dialogue. Sourceeffie.ai/ai-agents and effie.airead 2026-09-08 |
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| Deployment & Data Residency | Not documented |
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The platform runs in secure Microsoft Azure data centers, and its cloud infrastructure is built on Microsoft Azure. Effie says Azure hosting ensures enterprise-grade infrastructure, compliance and scalable performance across regions, but it names no region. Effie offers no region list, VPC, on premises option or customer tenant. There is no regional residency option and no hosting aligned to the customer's jurisdiction, so customers cannot choose where their data lives. Sourceeffie.ai/technology-securityread 2026-09-08 |
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| Prebuilt Agents / Templates / Packs | Partial |
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Two named agents ship, and they overlap. The AI Merchandising Agent runs the store visit workflow end to end. The AI Perfect Store Agent is an autonomous compliance engine that delivers prioritized Next Best Actions, so standards are achieved at the shelf instead of measured afterwards. Customers adopt both as they are, with nothing to assemble. Both consolidate requirements, read the shelf and guide a merchandiser through corrections during the visit, so the Perfect Store Agent is a specialization of the same visit flow and not a separate job. Under Retail Merchandising, the two agents are capabilities of one product line. There is no catalog, template library or wider set of agents for customers to choose from. Sourceeffie.ai/ai-agents and effie.ai/retail-merchandisingread 2026-09-08 |
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| Triggers & Channel Coverage | Partial |
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Two routes start the agent's work. The main route is the store visit. Execution runs during the visit itself, on the field mobile application published on both Google Play and the App Store, and the agent acts in real time instead of generating a report afterwards. The second route is continuous. CCTV cameras provide ongoing monitoring in the store that reveals placement issues, a standing input that no one invokes. Effie names no webhooks, event subscriptions, schedules or inbound queues, and no way for an external system to start work. It publishes no API either. The channels are the field mobile app and an HQ web interface, and Effie names no messaging, email or voice channel. Sourceeffie.ai/technology-security, effie.ai/ai-agents and the app store listingsread 2026-09-08 |
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| Model Flexibility & Routing | Not documented |
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The perception layer is a built-in neural network in the mobile camera plus proprietary computer vision, and Effie runs both. Effie calls its agents "specially trained and customized". Microsoft Azure is the hosting provider, and Effie names no model provider. Effie also names no model picker, admin model setting, provider list or routing, and the customer chooses no model. Sourceeffie.ai/technology-security and effie.ai/ai-agentsread 2026-09-08 |
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| APIs / SDKs / MCP Extensibility | Not documented |
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The platform is sold and delivered as a managed vertical product. Effie publishes no API, SDK, developer documentation, integration guide, webhook or MCP server, and it links no developer or docs subdomain. The two subdomains are auth.effie.ai, the customer sign in, and develop.effie.ai, which appears only as a stale privacy policy link inside the newsletter consent text and is not a developer portal. Customers reach Effie at sales@effie.ai and support@effie.ai, and there is no partner or developer channel. Sourceeffie.ai navigation, footer and technology-securityread 2026-09-08 |
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| Testing, Debugging & Optimization | Not documented |
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Execution is verified at the shelf in real time, one output at a time. Independent penetration testing and third party audits run regularly as Effie's internal practice for securing its own platform, and customers do not run them. Effie names no evaluation harness, scored test cases, simulation surface, quality gate in a release path or controlled optimization loop that measures what the agent does. The performance figures Effie publishes cover time saved and compliance gained. Sourceeffie.ai/technology-security and effie.ai/ai-agentsread 2026-09-08 |
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| Browser / Computer-use | Not documented |
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The platform uses four vision technologies. An AI camera embedded in the mobile app uses a built-in neural network to help a person take better shelf photos. Computer vision recognizes products, prices, promotional tags, flyers and display boards on the shelf. Augmented reality overlays instant suggestions and visual cues for the merchandiser. CCTV cameras provide continuous monitoring in the store. All four perceive or annotate the physical world, and none of them operates software. There is no browser, desktop session, or remote or local computer control. Sourceeffie.ai/technology-security and effie.ai/ai-agentsread 2026-09-08 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Contact for proposal
Custom proposal scaled by company size, field team structure, and stage of expansion.
Included quota
Not public.
What is public
Nothing. The site publishes no pricing page and no figures. The Retail Merchandising page asks prospects to describe their operations and offers a proposal aligned with company scale, field team structure and stage of expansion, alongside a demo request and a sales@effie.ai contact. A client login sits at auth.effie.ai and support runs through a Support for clients page, so the motion is sales led with no self serve path.
Cost watchouts
The proposal is scoped to company scale, field team structure and stage of expansion, so a larger field team or a wider rollout is likely to cost more. Whether image recognition and model usage are included or billed is not disclosed. Onboarding and rollout take effort, and none of it is priced publicly.
Variable cost rationale
No billing unit is published. Each proposal is scoped to company scale, field team structure and stage of expansion, which points to headcount and footprint as what makes the bill grow, but nothing published says whether price follows field headcount, store count, visit volume or image recognition usage. Image recognition and model usage grow with execution volume, and nothing published says whether they are billed or included. No cap, minimum or commitment is published.
Overage / add-ons
Not public.
Sales call required
Yes, required for paid access
Free / trial
None published
Lowest paid plan
Not published
Key ambiguities
Nothing about cost is published. There are no tiers, no per user or per store rate and no minimum, and no indication of whether pricing follows field headcount, store count, visit volume or image recognition usage, which for this product are four very different bills. The three named scoping inputs (company scale, field team structure, stage of expansion) suggest headcount and footprint drive the number, but effie does not say so.
Missing data
All of it. No pricing page exists on the site, and the Solutions, Resources and Company navigation carry no pricing entry. The only commercial signal is the proposal request form and the sales@effie.ai contact route.
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Alternatives to effie.ai
The closest documented capability profiles to effie.ai among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Norm Ai5.0 / 14Fuller documented coverage on Human Oversight & Guardrails
- Paraform4.0 / 14A lighter documented profile than effie.ai
- Balerion AI4.5 / 14Fuller documented coverage on Workflow Orchestration
- ComplianceQuest5.5 / 14Adds documented APIs, SDKs & MCP Extensibility
- Firmbase5.5 / 14Fuller documented coverage on Workflow Orchestration and Prebuilt Agents, Templates & Packs
- Smart Bricks3.5 / 14A lighter documented profile than effie.ai
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded