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Lily AI

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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Pricing from
£125 per month
Free Trial unavailable
Free version unavailable
User corporate size
Small
Medium
Large
User industry
  1. Retail and wholesale
  2. Accommodation and food services
  3. Information technology and software

What is Lily AI

Lily AI is an AI-based product attribution and tagging platform used primarily by retail and e-commerce teams to enrich product catalogs with structured attributes. It applies computer vision and natural language processing to generate consistent metadata that supports site search, navigation, personalization, and analytics. Typical users include merchandising, e-commerce operations, and data/catalog teams that need scalable product data enrichment across large assortments. While it uses machine learning and “intelligence” capabilities, it is not positioned as a core HR talent management suite.

pros

Automates product attribute tagging

The platform focuses on generating structured product attributes from images and text, reducing manual catalog enrichment work. This can improve consistency of metadata across large product sets where manual tagging is difficult to maintain. It is well-aligned to retail/e-commerce workflows that depend on accurate product data. The approach is distinct from end-to-end HR suites that center on employee records and HR processes.

Improves search and navigation data

By standardizing product attributes, Lily AI supports better faceted navigation and on-site search relevance. Enriched attributes can also feed downstream personalization and recommendation logic that relies on clean product metadata. This is useful for organizations that struggle with inconsistent vendor-provided product descriptions. The value is strongest when the business has a large, frequently changing catalog.

Designed for retail catalog scale

Lily AI is built around catalog enrichment use cases rather than general-purpose workflow automation. It fits teams that need repeatable processes for ingesting product data and producing normalized attributes at scale. This specialization can make implementation more straightforward than adapting broader platforms not designed for product data. It also supports cross-functional use between merchandising and digital teams.

cons

Not a talent management suite

Despite the “AI” positioning, Lily AI does not function as a talent management system for recruiting, performance, learning, or compensation. Organizations evaluating it under talent management categories may find it lacks HR workflows, employee data models, and compliance features. It is better evaluated alongside product information and e-commerce data enrichment tools. Buyers should confirm scope to avoid category mismatch.

Integration and data dependency

Outcomes depend on the quality and completeness of existing product images and descriptions. Integrations with e-commerce platforms, PIM/MDM systems, and analytics stacks can be required to operationalize the enriched attributes. If upstream data is inconsistent, additional data governance work may be needed. Implementation effort varies based on catalog complexity and system landscape.

Model transparency and control limits

AI-generated attributes can require validation workflows to ensure accuracy and brand consistency. Some organizations may need clear controls over taxonomies, attribute definitions, and override rules to meet merchandising standards. If the platform’s tagging logic is not fully explainable, troubleshooting edge cases can take time. Teams should assess review tooling, auditability, and change management features.

Plan & Pricing

Plan Price Key features & notes
Foundation £125 per month 1,000 talent tokens / month (approx. 40 interviews). Unlimited team members, unlimited roles, AI phone screening, interview scheduling, bias monitoring.
Momentum £300 per month 2,500 talent tokens / month (approx. 100 interviews). Unlimited team members, unlimited roles, AI phone screening, interview scheduling, bias monitoring.
Expansion £575 per month 5,000 talent tokens / month (approx. 200 interviews). Unlimited team members, unlimited roles, AI phone screening, interview scheduling, bias monitoring.
Growth £1,035 per month 10,000 talent tokens / month (approx. 400 interviews). Unlimited team members, unlimited roles, AI phone screening, interview scheduling, bias monitoring.
Scale £1,950 per month 20,000 talent tokens / month (approx. 800 interviews). Unlimited team members, unlimited roles, AI phone screening, interview scheduling, bias monitoring.
Transform £4,695 per month 50,000 talent tokens / month (approx. 2,000 interviews). Unlimited team members, unlimited roles, AI phone screening, interview scheduling, bias monitoring.

Seller details

Lily AI, Inc.
Mountain View, CA, USA
2015
Private
https://www.lily.ai/
https://x.com/lily_ai
https://www.linkedin.com/company/lily-ai/

Tools by Lily AI, Inc.

Lily AI
Lily AI

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