IKEA
brand assistant published on a third-party GPT store
IKEA published its genAI assistant on the OpenAI GPT Store in February 2024: three months later, it had about 1,500 users per month, of which 20% led to a visit to ikea.com and 5% of those visits to a transaction.
Objective
Test the GPT Store as an acquisition and inspiration channel, by giving personalized furnishing recommendations, while learning what it takes to build a useful marketplace GPT.
The deployment
IKEA published its IKEA AI Assistant on the OpenAI GPT Store on February 5, 2024, for GPT Plus users in the United States. The assistant gives furniture and decor recommendations based on room dimensions, style, budget, and sustainability criteria, can generate rendering images, and can identify a piece of furniture from a photo. Ingka frames the initiative as a pragmatic, learning-oriented move. Three months after launch, Ingka's chief data and analytics officer told Digiday about 1,500 users a month. Twenty percent of those interactions led to a visit to ikea.com, mostly toward outdoor furniture and sofas, and 5% of those visits ended in a transaction. The exercise mainly served to test search behavior and to see whether the GPT Store could be an acquisition channel, before integrating the technology directly into IKEA's own surfaces.
Results Proof C
Official Ingka press release on the launch and usage figures given by Ingka's chief data and analytics officer to Digiday, established press naming the brand. The volumes are modest and the claimed use is that of a test, which is sourced but does not go beyond C.
How it works
Documented architectureThe stack in detail
- plateforme OpenAI GPT Store distribution store for the brand GPT, restricted to ChatGPT Plus subscribers at launch
- llm LLM OpenAI sous-jacent aux GPTs OpenAI generative model powering the store's GPTs; exact version not specified in the sources
- outil Generation et reconnaissance d'images (outillage OpenAI) furnishing renderings generated and identification of a piece of furniture from a photo, via the native capabilities of GPTs
- infra Catalogue et site ikea.com product, style, and budget reference on the IKEA side, with tracked referral to the site for availability and purchase
How it runs, concretely
For ops teams-
1Expressing the need customer
The user describes their room, style, budget, or sends a photo of a piece of furniture to identify.
-
2Recommendation AI
The assistant proposes IKEA products, generated renderings, and selection criteria.
-
3Referral to the site customer
The user clicks through to ikea.com to check availability and buy.
-
4Measurement and learning data team
The team tracks users, referral rate, and transactions to judge the channel.
The referral to ikea.com and the transaction that follows. Because the conversation lives with a third party, IKEA sees only a partial signal of the journey and depends on the store for distribution.
How your customers perceive this type of use
Sourced studiesLes consommateurs n'acceptent pas les chatbots par defaut : 64% prefereraient que les entreprises n'utilisent pas d'IA dans leur service client (Gartner, 2024) et pres d'un utilisateur sur cinq du service client par IA n'en retire aucun benefice (Qualtrics, 2025). L'acceptation se construit sur trois conditions mesurees par Salesforce : savoir qu'on parle a une IA, pouvoir escalader vers un humain, comprendre la logique de l'agent.
Acceptance conditions
- Etre informe qu'on parle a une IA et non a un humain (pres de 75% le demandent, Salesforce 2024)
- Un chemin d'escalade clair vers un agent humain (45% plus enclins a utiliser l'agent IA, Salesforce 2024)
- Une logique de l'agent clairement expliquee (44% plus enclins, Salesforce 2024)
Red lines
- Rendre l'humain injoignable : c'est la premiere inquietude des consommateurs sur l'IA dans le service client (Gartner 2024) et 50% craignent que l'IA les coupe du contact humain (Qualtrics 2025)
- Remplacer le service client par l'IA sans alternative : 53% envisageraient de partir chez un concurrent (Gartner 2024)
Sources: Salesforce 2024 · Gartner 2024 · Qualtrics 2025
How to replicate
Inference, not sourcedData prerequisites
- Product catalog and availability exposable to a GPT
- Reference set of styles and criteria (budget, sustainability)
- Tracking of referral to the site and of the transaction
Org prerequisites
- Acceptance of distributing via a third-party platform
- Governance framework for conversation data
- Channel metrics (users, referral, transaction)
Possible stack
- Brand GPT on a third-party store
- Connection to the catalog and availability
- Rendering image generation
The plan, step by step
- Step 1Frame the GPT's scope: brand tone, use cases covered, guardrails, and referral rules to the siteDeliverable: Approved GPT brief (instructions, examples, limits)
- Step 2Build the GPT and connect it to the catalog (products, styles, budget), with tracked outbound links (UTM)Deliverable: Working GPT tested internally, instrumented links to the site
- Step 3Validate legal and data (use of conversations by the third-party platform), then publish on the storeDeliverable: Published GPT + documented data governance framework
- Step 4Track users, referral rate to the site, and transactions from the referralDeliverable: Channel dashboard with the three metrics
- Step 5Judge the channel on volume and transaction before investing more (integration into own surfaces or shutdown)Deliverable: Documented go/no-go decision
First step: Publish a brand GPT connected to the catalog, instrument the referral to the site, and judge the channel on volume and transaction before investing.
Sources
- S1 IKEA launches new AI-powered assistant in OpenAI GPT Store Primary archive pending
- S2 Ikea launched an AI assistant earlier this year. Has it actually driven sales? Established press archive pending
- S3 Ikea launches generative AI assistant Established press archive pending
An error, newer info, a source?
This page lives on its accuracy. If a figure has moved, if the deployment has changed, or if you have a higher-quality source, tell us. Every sourced correction is verified before publication.