01 / Customer question
The commercial context
Protect desirability as shopping becomes more automated.
Fashion discovery depends on more than a generic product description. Current collections, occasion, fit, fabric and seller authenticity all change whether a recommendation makes sense. An answer built around a discontinued style or the wrong size variant can damage the experience.
Brands also have different expectations of access. A mass-market retailer may favour broad catalogue distribution, while a luxury house may prioritise curated discovery and clienteling. We assess the information and channels against your brand standards, full-price economics and rights in creative assets.
Customer journeys
Test style, fit and authenticity questions.
We agree the questions, audiences and markets to assess. The examples below show what we can investigate, with the final scope based on your priorities.
02 / Customer question
Is the correct size and colour variant recommended using reliable fit and fabric information?
03 / Customer question
Can the shopper distinguish the authentic product, current collection and approved seller?
01
Collection and brand evaluation
We evaluate occasion and style questions against current collections, selected markets and approved channels. The findings distinguish discovery gaps from incorrect product or brand representation.
You receive: Collection visibility and brand-language findings.
02
Product and visual information
We assess style, colour and size relationships, fit systems, fabric and care information, and image metadata. The priorities address product matching and the information required for useful visual or conversational discovery.
You receive: Variant/fit data priorities and visual-discovery evaluation.
03
Creative access and service pilots
We map permitted use of creative assets and scope styling or clienteling assistance with brand owners. Pilot criteria cover accuracy, language, authenticity and the points where a person should take over.
You receive: Asset access policy options and a brand-reviewed pilot brief.
Internal AI readiness
Give merchandising and clienteling teams usable, approved knowledge.
Collection releases, product updates and creative approvals need clear ownership across merchandising, ecommerce and brand teams. We assess the knowledge available to colleagues and the workflow needed to keep it current.
Styling and clienteling pilots should use approved product information and respect CRM permissions. Generated language or imagery needs review against your standards. The scope preserves the role of human judgement in personal service, especially where authenticity, fit or provenance is uncertain.
A practical first engagement
Fashion AI Discovery & Brand Assessment
We agree the brands, market, current collection, representative styles and variants, approved sellers and asset rights. You receive discovery findings, brand and fit errors, creative-access options and a prioritised collection-data roadmap, with a defined scope for any service pilot.
01
Agree the scope
We agree the business questions, reference sources, AI platforms and teams involved. Before the assessment begins, we confirm the access needed and any work it depends on.
02
Review the evidence together
We separate what the AI answer shows from the content, data or workflow issues behind it. Your teams help decide which changes matter and which are feasible.
03
Choose the next action
The plan identifies the priorities, who is responsible, what each change depends on and how it will be checked. If a pilot is worthwhile, we agree how to run and evaluate it with the teams involved.
Evaluation
Measure the changes that matter.
We agree how to evaluate results before making changes. Each answer is recorded with its question, market, AI platform and date. Repeat checks help identify patterns. We assess commercial results and improvements to internal workflows separately with your teams.
Current-collection presence
Fit and variant accuracy
Authentic seller representation
Full-price conversion
Part of Ayima
Technical search expertise. Practical enterprise thinking.
SWLR combines AI visibility and readiness consulting with Ayima's experience in enterprise search. We investigate the content, data and technical issues behind your business question, including access permissions, then help your teams decide what to do next.
Common questions
Before we begin.
Should luxury brands expose their full catalogue?
That depends on the brand, collection and channel strategy. Accurate approved product information can support discovery without granting unrestricted use of every asset. We assess curated and broader access options against the desired customer experience.
Can we protect images while supporting discovery?
Access decisions can differ by purpose and asset. Product discovery, image reuse and model training do not have to share one policy. Controls and rights terms have practical limits, which should be understood before choosing a route.
Can AI improve fit recommendations?
It may help where size systems, measurements and product information are reliable. We first evaluate the data and relevant scenarios. A pilot needs fit-quality and returns measures rather than an assumption that automation will reduce returns.
Signal → Evidence → Action
Start with the questions that matter.
Discuss your collections, discovery channels and the brand standards the work needs to preserve.
Discuss your AI strategy