Description
AI Ecommerce & Shopify

Turn messy product data into a smarter, easier-to-shop ecommerce catalogue.

Our AI Ecommerce Product Catalogue & Taxonomy Optimisation service uses AI-assisted analysis combined with ecommerce expertise to categorise, structure, enrich and improve large Shopify product catalogues — helping customers find the right products while making your catalogue easier to manage and scale.

OpenAI Select Partner - Tyack Ecommerce Solutions
AI implementation with ecommerce experience.

Tyack Ecommerce Solutions is an OpenAI Select Partner, combining practical AI capability with hands-on experience across Shopify, ecommerce, product data, search, filtering, SEO and digital marketing.

Thousands of products. Multiple suppliers. Inconsistent data.

As ecommerce catalogues grow, product information often becomes increasingly inconsistent. Different suppliers use different categories, naming conventions, attributes and product types.

The result can be incorrect categories, confusing collections, poor filters and thousands of products requiring manual review.

AI allows us to analyse catalogue information at scale — while ecommerce expertise and human review help ensure the resulting structure actually makes sense for your store and customers.

From inconsistent product data to structured Shopify data.

Here's a simple example of the type of catalogue problem this service is designed to solve.

Before

Messy supplier data

Product: Timber Queen Bed Frame
Category: Home Decor
Type: Furniture???
Tags: queenbed, home, timber123
Size: Not structured
Material: Missing
Collection: Miscellaneous
AI
→
After

Structured ecommerce data

Category: Furniture → Bedroom → Beds
Product Type: Bed Frame
Size: Queen
Material: Timber
Colour: Natural
Tags: bedroom, timber, queen
Collection: Bedroom Furniture
1

Analyse

Review catalogue structure, existing product data, categories, types, tags and attributes.

2

Categorise

Develop logical product categories, taxonomy and hierarchy aligned with your catalogue.

3

Enrich

Identify useful attributes such as size, material, colour and product-specific characteristics.

4

Validate

Review outputs, identify anomalies and prepare structured data for implementation.

What can we optimise?

The scope can be tailored to your existing Shopify catalogue, business requirements and the quality of the product data available.

🗂

Product Categories & Taxonomy

Review and improve product categorisation so products sit within logical, scalable ecommerce structures.

🏷

Product Types & Tags

Standardise inconsistent product types and develop useful tagging structures for collections and merchandising.

🔎

Search & Filtering Attributes

Identify attributes such as size, colour, material, style or other product characteristics that can support better filtering.

🛍

Collections & Navigation

Develop cleaner product groupings and collection logic to support customer navigation and product discovery.

✍️

Product & SEO Data

Identify opportunities to improve inconsistent product titles, metadata and other catalogue information where included in the project scope.

⚠️

Catalogue Anomalies

Surface potentially incorrect categories, missing information, inconsistent naming and unusual product assignments for review.

Build a catalogue customers can actually navigate.

A clear taxonomy creates a logical relationship between products, categories, collections and filtering attributes.

Home & Living → Furniture → Bedroom → Beds & Bed Frames
Size Queen
Material Timber
Colour Natural
Style Contemporary
Optimised Product Catalogue SHOPIFY
PRODUCT TYPE CATEGORY TAGS Bed Frame Bed Frame Bedroom Queen Dining Set Dining Outdoor 9 Piece Sofa Lounge Living Fabric

A practical output you can actually implement.

Depending on the agreed project scope, TES can prepare structured catalogue data and recommendations ready for review and implementation in Shopify.

  • Existing catalogue analysis
  • Taxonomy and category recommendations
  • Product type standardisation
  • Tagging structure
  • Filtering attribute recommendations
  • Collection and hierarchy recommendations
  • Identification of catalogue anomalies
  • Human review and quality assurance
  • Shopify-ready data preparation where included

Built for large or complicated catalogues.

This service is particularly suited to Shopify stores managing hundreds or thousands of products, multiple suppliers or large amounts of inconsistent product data.

It can also be useful when rebuilding store navigation, improving search and filtering or preparing for a major catalogue restructure.

AI-assisted. Human reviewed.

AI can dramatically increase the amount of product information that can be analysed, but catalogue decisions still need commercial and ecommerce context.

Our approach combines AI-assisted processing with human review rather than blindly publishing AI-generated product data.

Ecommerce expertise first. AI where it adds value.

Product taxonomy isn't simply a data exercise. The structure needs to make sense for customers, Shopify collections, merchandising, filtering, search and the way your business actually sells products.

TES combines practical ecommerce experience with AI-assisted analysis to tackle catalogue projects that would otherwise require significant amounts of manual product review.

As an OpenAI Select Partner, we're continuing to develop practical AI solutions designed around real ecommerce and business challenges.

Tyack Ecommerce Solutions OpenAI Select Partner

AI Product Catalogue Optimisation FAQs

What is ecommerce product taxonomy?

Ecommerce product taxonomy is the structure used to organise products into logical categories, subcategories, product types and attributes. A well-designed taxonomy can make a large catalogue easier for customers to browse, search and filter.

Can you optimise a large Shopify product catalogue?

Yes. This service is specifically designed for stores where manually reviewing every product would be inefficient. The exact approach and pricing will depend on catalogue size, complexity and the quality of the existing product data.

How does AI help with product categorisation?

AI can assist with analysing product titles, descriptions, existing categories, product types, tags and other available information to identify patterns and suggest more consistent product classifications and attributes.

Can you improve Shopify filters and product tags?

Yes. Depending on scope, we can review product attributes and recommend structured tags or data that can support useful filters such as size, colour, material, style and other product-specific characteristics.

Will AI automatically change all of my products?

Not by default. We prefer to analyse and prepare proposed changes for review before large-scale catalogue updates are implemented. This provides an opportunity to identify anomalies and validate the proposed structure.

Can you work with supplier or dropshipping product data?

Yes. Supplier and dropshipping catalogues are a common use case because different suppliers often provide inconsistent naming, categories, attributes and product information. The available source data will determine what can reliably be extracted and standardised.

Does catalogue optimisation help SEO?

A cleaner catalogue can support broader ecommerce SEO work by improving product organisation and making it easier to build relevant category and collection structures. Where included in scope, TES can also review product titles and metadata opportunities. SEO outcomes cannot be guaranteed.

How much does AI product catalogue optimisation cost?

Projects start from $995 + GST. Final pricing depends on catalogue size, number of suppliers, existing data quality, required attributes and whether TES is providing analysis only or preparing and implementing catalogue changes.

Have hundreds or thousands of products that need cleaning up?

Let us review your ecommerce catalogue and identify how AI-assisted product categorisation, taxonomy and data optimisation could create a cleaner, more scalable Shopify store.

Discuss Your Product Catalogue

AI Ecommerce Product Catalogue & Taxonomy Optimisation

    Product form

    $995.00

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        Description
        AI Ecommerce & Shopify

        Turn messy product data into a smarter, easier-to-shop ecommerce catalogue.

        Our AI Ecommerce Product Catalogue & Taxonomy Optimisation service uses AI-assisted analysis combined with ecommerce expertise to categorise, structure, enrich and improve large Shopify product catalogues — helping customers find the right products while making your catalogue easier to manage and scale.

        OpenAI Select Partner - Tyack Ecommerce Solutions
        AI implementation with ecommerce experience.

        Tyack Ecommerce Solutions is an OpenAI Select Partner, combining practical AI capability with hands-on experience across Shopify, ecommerce, product data, search, filtering, SEO and digital marketing.

        Thousands of products. Multiple suppliers. Inconsistent data.

        As ecommerce catalogues grow, product information often becomes increasingly inconsistent. Different suppliers use different categories, naming conventions, attributes and product types.

        The result can be incorrect categories, confusing collections, poor filters and thousands of products requiring manual review.

        AI allows us to analyse catalogue information at scale — while ecommerce expertise and human review help ensure the resulting structure actually makes sense for your store and customers.

        From inconsistent product data to structured Shopify data.

        Here's a simple example of the type of catalogue problem this service is designed to solve.

        Before

        Messy supplier data

        Product: Timber Queen Bed Frame
        Category: Home Decor
        Type: Furniture???
        Tags: queenbed, home, timber123
        Size: Not structured
        Material: Missing
        Collection: Miscellaneous
        AI
        →
        After

        Structured ecommerce data

        Category: Furniture → Bedroom → Beds
        Product Type: Bed Frame
        Size: Queen
        Material: Timber
        Colour: Natural
        Tags: bedroom, timber, queen
        Collection: Bedroom Furniture
        1

        Analyse

        Review catalogue structure, existing product data, categories, types, tags and attributes.

        2

        Categorise

        Develop logical product categories, taxonomy and hierarchy aligned with your catalogue.

        3

        Enrich

        Identify useful attributes such as size, material, colour and product-specific characteristics.

        4

        Validate

        Review outputs, identify anomalies and prepare structured data for implementation.

        What can we optimise?

        The scope can be tailored to your existing Shopify catalogue, business requirements and the quality of the product data available.

        🗂

        Product Categories & Taxonomy

        Review and improve product categorisation so products sit within logical, scalable ecommerce structures.

        🏷

        Product Types & Tags

        Standardise inconsistent product types and develop useful tagging structures for collections and merchandising.

        🔎

        Search & Filtering Attributes

        Identify attributes such as size, colour, material, style or other product characteristics that can support better filtering.

        🛍

        Collections & Navigation

        Develop cleaner product groupings and collection logic to support customer navigation and product discovery.

        ✍️

        Product & SEO Data

        Identify opportunities to improve inconsistent product titles, metadata and other catalogue information where included in the project scope.

        ⚠️

        Catalogue Anomalies

        Surface potentially incorrect categories, missing information, inconsistent naming and unusual product assignments for review.

        Build a catalogue customers can actually navigate.

        A clear taxonomy creates a logical relationship between products, categories, collections and filtering attributes.

        Home & Living → Furniture → Bedroom → Beds & Bed Frames
        Size Queen
        Material Timber
        Colour Natural
        Style Contemporary
        Optimised Product Catalogue SHOPIFY
        PRODUCT TYPE CATEGORY TAGS Bed Frame Bed Frame Bedroom Queen Dining Set Dining Outdoor 9 Piece Sofa Lounge Living Fabric

        A practical output you can actually implement.

        Depending on the agreed project scope, TES can prepare structured catalogue data and recommendations ready for review and implementation in Shopify.

        • Existing catalogue analysis
        • Taxonomy and category recommendations
        • Product type standardisation
        • Tagging structure
        • Filtering attribute recommendations
        • Collection and hierarchy recommendations
        • Identification of catalogue anomalies
        • Human review and quality assurance
        • Shopify-ready data preparation where included

        Built for large or complicated catalogues.

        This service is particularly suited to Shopify stores managing hundreds or thousands of products, multiple suppliers or large amounts of inconsistent product data.

        It can also be useful when rebuilding store navigation, improving search and filtering or preparing for a major catalogue restructure.

        AI-assisted. Human reviewed.

        AI can dramatically increase the amount of product information that can be analysed, but catalogue decisions still need commercial and ecommerce context.

        Our approach combines AI-assisted processing with human review rather than blindly publishing AI-generated product data.

        Ecommerce expertise first. AI where it adds value.

        Product taxonomy isn't simply a data exercise. The structure needs to make sense for customers, Shopify collections, merchandising, filtering, search and the way your business actually sells products.

        TES combines practical ecommerce experience with AI-assisted analysis to tackle catalogue projects that would otherwise require significant amounts of manual product review.

        As an OpenAI Select Partner, we're continuing to develop practical AI solutions designed around real ecommerce and business challenges.

        Tyack Ecommerce Solutions OpenAI Select Partner

        AI Product Catalogue Optimisation FAQs

        What is ecommerce product taxonomy?

        Ecommerce product taxonomy is the structure used to organise products into logical categories, subcategories, product types and attributes. A well-designed taxonomy can make a large catalogue easier for customers to browse, search and filter.

        Can you optimise a large Shopify product catalogue?

        Yes. This service is specifically designed for stores where manually reviewing every product would be inefficient. The exact approach and pricing will depend on catalogue size, complexity and the quality of the existing product data.

        How does AI help with product categorisation?

        AI can assist with analysing product titles, descriptions, existing categories, product types, tags and other available information to identify patterns and suggest more consistent product classifications and attributes.

        Can you improve Shopify filters and product tags?

        Yes. Depending on scope, we can review product attributes and recommend structured tags or data that can support useful filters such as size, colour, material, style and other product-specific characteristics.

        Will AI automatically change all of my products?

        Not by default. We prefer to analyse and prepare proposed changes for review before large-scale catalogue updates are implemented. This provides an opportunity to identify anomalies and validate the proposed structure.

        Can you work with supplier or dropshipping product data?

        Yes. Supplier and dropshipping catalogues are a common use case because different suppliers often provide inconsistent naming, categories, attributes and product information. The available source data will determine what can reliably be extracted and standardised.

        Does catalogue optimisation help SEO?

        A cleaner catalogue can support broader ecommerce SEO work by improving product organisation and making it easier to build relevant category and collection structures. Where included in scope, TES can also review product titles and metadata opportunities. SEO outcomes cannot be guaranteed.

        How much does AI product catalogue optimisation cost?

        Projects start from $995 + GST. Final pricing depends on catalogue size, number of suppliers, existing data quality, required attributes and whether TES is providing analysis only or preparing and implementing catalogue changes.

        Have hundreds or thousands of products that need cleaning up?

        Let us review your ecommerce catalogue and identify how AI-assisted product categorisation, taxonomy and data optimisation could create a cleaner, more scalable Shopify store.

        Discuss Your Product Catalogue

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