Nautica Read case study FASHION DECISION INTELLIGENCE
Make every product
decision ready.
Selectika helps fashion retailers and brands sell more in the new era of commerce by giving AI agents the intelligence to make better product decisions. We transform product imagery into structured data, map relationships between products and understand shopper intent to power Product Enrichment, Smart Search and AI Outfitting.
BEYOND THE PRODUCT ATTRIBUTES
Not just an ivory blazer.A confident first impression.
A new way to wear what you love.
TailoredUnderstatedWork to dinner
Illustrative styling exampleFASHION KNOWLEDGE. REAL RETAIL.
Trusted by leading brands.
Customers featured by Selectika.
Nautica Read case study 
Timberland Read case study 
ALDO 
DKNY 
GUESS 
JD Sports Read case study 
FLANNELS 
Reserved 
APRICOAT Read case study 
Castro 
Hoodies Read case study 
Kenneth Cole 
Lee Cooper 
Maya Negri 
Nine West 
Scotch & Soda 
Shoester 
Speedo 
story 
Urbanica 
Weekend Offender 
Wolf & Badger CUSTOMER FEEDBACK
In our customers’ words.
Retail teams on product discovery, size confidence and working with Selectika.
1 of 6
PRODUCT ENRICHMENT & DISCOVERY
Growing impact on shoppers
“It was a pleasant surprise to see how the numbers continuously grow.”
Helena HilelHead of eCommerce, Nautica
SIMILAR PRODUCTS & COMPLETE THE LOOK
A valued partnership
“It’s been a great partnership, and we’re very happy with both the platform and the team behind it.”
Kenneth Cole IsraelMerchant review · Shopify · 18 August 2026
FIND MY SIZE
Conversion quadrupled
“Our conversion rate quadrupled, our customers are more engaged, and we see that they rely on Selectika’s personal sizing solution because they only order one size per item.”
Hadas BrazilayeCommerce Manager, Hoodies
FIND MY SIZE
Fewer returns. More returning customers.
“The return rate has plummeted, and we are witnessing more returning customers.”
Alon PartukFounder, Apricoat
Mia Inspiration
SHOP SIMILAR
Fashion details that matter
“This app actually gets fashion! … It’s picking up on style details I didn’t think AI could understand.”
Mia InspirationMerchant review · Shopify · 10 March 2025
Elital
PRODUCT CONTENT & RECOMMENDATIONS
A straightforward start
“The setup was straightforward, and the Selectika team has been extremely helpful and responsive throughout.”
ElitalMerchant review · Shopify · 1 September 2026
Selected excerpts from Selectika’s earlier customer accounts and dated Shopify merchant reviews. Results describe those experiences; measurement details and context are available with the full quotations and stories.
Get more from the Shopping spend you already run.
New drops go live with thin GMC attributes. Feed tools and Google's own fields miss fashion depth. We fill fit, occasion, style, fabric, and many more fashion attributes from the image into the feed you already push to Google and Meta.
Waist-length hem · Roomy sleeves
Illustrative product enrichment
| Attribute | Without Selectika | With Selectika |
|---|---|---|
| Title | Black jacket | Waist-length black leather bomber |
| Category | Jacket | Womenswear · Outerwear · Bomber jacket |
| Colour | Black | Black |
| Material and finish | Leather | Leather with a lightly grained finish |
| Length | — | Waist-length |
| Fit and silhouette | — | Oversized, rounded body with a gathered waist |
| Where to wear it | — | Weekend lunch, city outings, dinner out |
| Trends | — | Cropped leather outerwear · Off-duty leather |
| How to wear it | — | Dinner Layer over an ivory satin slip dress with ballet flats and a mini bag. Weekend Pair with wide-leg jeans, suede ankle boots and a leather tote. |
| Style | — | Streetwear · Minimal evening |
| Season | — | Autumn and spring layering |
| Shoulders and sleeves | — | Dropped shoulders, full-length balloon sleeves |
| Collar | — | High stand collar |
| Fastening | — | Centre-front zip |
| Hem and cuffs | — | Elasticated hem, fitted cuffs |
| Pockets | — | Two front welt pockets |
Scroll to explore all attributes. On smaller screens, swipe across to compare.
CONNECTED FASHION INTELLIGENCE
Understand. Discover. Combine.
01
Product Enrichment
Make product information more useful.
Turn product imagery and catalogue information into consistent fashion attributes that support filtering, discovery and merchandising. Catalogue enrichment for AI commerce.
Explore Product Enrichment02
Smart Search
Start with what the shopper means.
Let shoppers express an occasion, preference or constraint in everyday language. Connect that request with relevant products.
Try Smart Search03
AI Outfitting
Give the product a wider role.
Connect complementary pieces from a retailer’s catalogue to help shoppers discover an outfit and relevant additions to their basket.
Explore AI OutfittingEXPLORE THE EXPERIENCE
See the product.
Discover the possibilities.
Watch a recorded shopping journey or explore prepared outfit combinations. These demonstrations show the interaction, without connecting to a live store.
One shirt. Three ways to wear it.
Explore curated outfits, choose a shirt size and build a sample bag.
Curated sample data, not live AI recommendations. The sample bag does not place an order. Retailer links open separately; availability may change.
Acne Studios
Striped Lyocell Oversized-Fit Shirt
Choose a shirt size first.
Your shirt size carries into the sample bag.
Three styling directions
Tailored Contrast
Work to evening
Off-Duty Structure
Relaxed luxury
Blue After Dark
Polished contrast
RECORDED DEMONSTRATION
Shop the Look
Move from a styled image to the pieces shown in it. Watch item selection, sizes and the basket interaction.
Watch the demonstrationPrefer to start with a request?
Try Smart Search with a small, prepared catalogue and curated style mappings.
PRODUCT CATALOGUE ENRICHMENT FOR AI COMMERCE
Help shoppers find your products
on Google and through AI agents.
Selectika builds Fashion Decision Intelligence—the intelligence layer that helps LLMs and AI agents make better product decisions in commerce, starting with fashion.
For fashion brands and retailers, that means detailed catalogue attributes and product relationships, made available through MCP access and enriched product feeds.
YOUR INPUTS
Retailer catalogue
Product images, descriptions and reliable catalogue facts.
SELECTIKA
Enrichment & product relationships
Fashion attributes, synonyms, similar alternatives and complementary items.
DELIVERY PATH 1
MCP access
Connected AI applications access catalogue information and relationships.
DELIVERY PATH 2
Enriched product feeds
Product information supplied through a feed for the agreed destination.
Use richer product knowledge in Smart Search, compare similar alternatives or connect complementary pieces through AI Outfitting. Explore the delivery paths and destination requirements before choosing an AI shopping connection.
Bring your catalogue and intended AI shopping experience; discuss a product walkthrough with Selectika.
THE RETAIL CHALLENGE
A catalogue full of products.
Too little understanding.
Fashion choices depend on more than a category and a colour. Shoppers think in silhouettes, occasions, fit and combinations. Product data needs to connect with that language.
- 01Inconsistent information
- Supplier titles and manual tags vary, making it harder to filter, compare and maintain a growing catalogue.
- 02Search that misses the intention
- A shopper asks for something to wear to dinner. The right product may never use those words.
- 03Products shown in isolation
- A single item can be appealing without showing a shopper how it fits into a complete look.
BUILT AROUND YOUR BUSINESS
Your catalogue.
Your rules.
Bring product intelligence into your business in a way that fits your catalogue and team. These decisions help define a useful first deployment.
01 / CONSISTENT PRODUCT INFORMATION
Define a shared product language
Consistent product information gives catalogue, merchandising and ecommerce teams a shared basis for describing products. Selectika provides its fashion taxonomy; the implementation maps your existing fields to agreed categories, attributes and accepted values. Together, confirm how missing or conflicting information should be reviewed.
Explore the fashion taxonomy02 / YOUR RETAIL PRIORITIES
Align recommendations with your business
Recommendations need to fit your assortment and commercial priorities. Selectika’s documented approach accounts for stock, price and retailer controls. Agree the availability, pricing and merchandising requirements with Selectika, and review the combinations against your brand direction.
Read the recommendation API guide03 / A RELEVANT CATALOGUE
Plan how your catalogue stays up to date
Planning for new products, changed details and unavailable items helps keep the shopping experience relevant. Your integration team manages catalogue updates; Selectika can configure notifications for item events. Agree the update method, frequency and responsibilities before launch.
Read the webhook documentation04 / CONFIDENCE BEFORE LAUNCH
Review and validate before launch
A representative sample helps both teams identify gaps before a wider rollout. Review the enriched product information and shopping experience, resolve exceptions, and agree acceptance criteria with Selectika. Confirm who reviews, makes corrections and approves the launch.
Read the integration optionsPROPRIETARY MULTIMODAL FASHION INTELLIGENCE
From product information
to retail relevance.
Selectika combines product imagery, catalogue information and fashion relationships. Its documented approach connects structured product understanding with retrieval and recommendation experiences.
- 01 / INPUTS
Bring the evidence together
Product images, titles, descriptions and reliable existing attributes provide different parts of the picture.
- 02 / UNDERSTANDING
Give details a shared meaning
Category-specific attributes and a controlled fashion vocabulary make product information more consistent.
- 03 / RELATIONSHIPS
Learn what works together
Expert-reviewed outfit examples help train and refine relationships between complementary products.
- 04 / ACTIVATION
Connect with the store
Agreed fields, APIs and retailer rules connect this knowledge with catalogue work, search and outfitting.
PREPARED PRODUCT EXAMPLE
More useful than “ivory jacket”.
- Product type
- Blazer
- Colour family
- Ivory / off-white
- Collar
- Notched lapel
- Sleeves
- Long sleeves
A shopper might ask for:
“An off-white tailored jacket for dinner.”
Illustrative fields and styling context, not live AI output. Composition requires reliable catalogue information; it cannot be verified from an image alone.
Explore the prepared example
CUSTOMER STORY / JD SPORTS
A more connected
product page.
The challenge
Make catalogue details useful for product discovery and show shoppers relevant alternatives and complementary pieces.
The implementation
The historical case study describes a dynamic product feed, enrichment and retailer review, followed by Shop Similar and AI Outfitting experiences.
Explore the JD implementationBEFORE WE TALK
A few questions
worth starting with.
The right first step depends on your catalogue, your systems and the retail decision you want to improve.
Read the buyer FAQWhat information do we need to provide?
Start with product imagery and reliable catalogue fields. Category coverage, languages, update frequency and the quality of existing data help define the scope.
How does this connect with our platform?
Selectika provides APIs, a Shopify app, a WordPress/WooCommerce plugin and a Magento module, alongside MCP access and enriched product feeds. Agree the required fields, catalogue updates and connection setup for your implementation. Explore integrations
Does richer data guarantee visibility in AI shopping?
No. Product Enrichment improves product understanding. Discovery also depends on your publishing, feeds, channel eligibility and the external system. Product data for AI shopping
How should we evaluate a first deployment?
Choose a relevant measure, agree the baseline and test period, and review catalogue quality and shopper behaviour together. Connect with us
KEEP EXPLORING
Ideas behind better decisions.
AI understands what the shopper wants. Does it understand your products?
Read article: AI understands what the shopper wants. Does it understand your products?
Deep Tagging Is Table Stakes. Consistency Is the Moat.
Read article: Deep Tagging Is Table Stakes. Consistency Is the Moat.
Understanding Statistical Significance in E-commerce
Read article: Understanding Statistical Significance in E-commerceWHY SELECTIKA
Fashion product data for the tools you already use.
Selectika reads product images alongside catalogue data to structure fashion details such as fit, sleeve length and occasion. It also connects similar items and pieces that work together. If supplier labels conflict or search misses relevant products, compare these outputs on the same sample against your current workflow. They can serve the search, merchandising and feed tools you already use, once the connection and fields are agreed.
Compare the approaches for your storeWant to start with Google Shopping? Pick one category, review what enrichment adds, and decide whether to expand after the test.
See the six-week pilot example · See an enriched feed recordFASHION EXPERTISE. ENGINEERING DEPTH.
Understand the product.
Connect the context.
Product imagery, catalogue knowledge and fashion relationships help connect what an item is with when, why and how someone might choose it.
Selectika makes enriched catalogue information and product relationships accessible through MCP and enriched feeds. The receiving application or platform determines how that information is used.
Planning your next step?
Explore inputs, integrations, human review and onboarding.