[AI shopping & agentic commerce]() / [Use cases]() / [Compatible baskets]() [How it works]() [What you get]() [Scope]() [Start a review]() [AI shopping & agentic commerce]()[Help choosing]() # Build compatible baskets for technical purchases. A shopper describes what they own and what they need, and gets a priced basket where every part fits, or a clear next step when it can’t be sure. [Start with an AI shopping review]() [How it works]() A liner for my Fernway field jacket. Which year is it? Liner LN-04 fits the 2026 jacket, not the 2025 one, even though they look identical. Tell me the year, or the order number and I’ll look it up. From the compatibility register · asked before suggesting The assistant asks the one thing it needs, because two jackets look the same and take different liners. ## Sound familiar? - A shopper buys the liner, and it doesn’t fit the jacket they own. - Two jackets look identical and take different parts, and the page says only “fits Fernway field jackets”. - An assistant matches parts on their descriptions, and a similar description isn’t a rule. A wrong part is a return, a refund, a second shipment and a customer who expected you to know your own range. ## What changes. ShowTodayWith the engine Compatibility In your specialist’s head Written as a relationship for every part and model year Matching A similar description Only approved combinations The basket The shopper pieces it together A priced basket with the reason for every line Unknowns Guessed Asked about, or handed to a person ## How it works. 5 steps, 4 stages. - AI**2** - Rules and automation**2** - Your team**1** - Approval 1. 1 Ask 1. AI ### Ask what they own Turns the task into a model and a year, and asks when either is missing. 2. 2 Check 1. Rules and automation ### Check the relationships Approved combinations, required parts and exclusions decide what fits. A similar description never counts. - Shopify - NetSuite 3. 3 Build 1. Rules and automation ### Build the priced basket Adds the required parts, checks stock and delivery, and attaches the reason for each line. - Shopify 2. AI ### Explain the choice Says why each part is there and what it left out, in the shopper’s words. 4. 4 Own 1. Your team Approval ### Own the relationships Your product specialist approves every new model year or part, and handles anything uncertain or safety-related. Returns for the wrong part update the rules ## What you get. Real work, every week. Basket · canvas field jacket, 2026 Line Price Why it’s here Canvas field jacket · Navy M $168 The jacket Liner LN-04 $38 Fits the 2026 jacket Care Kit $28 Optional · lasts about 90 days Total $234 Under the $250 budget The basket for a 2026 jacket: every line priced, with the reason it’s there. Compatibility register Liner LN-04 - Canvas field jacket 2026Approved by the product lead **Fits**Valid - Canvas field jacket 2025Looks identical, no approved fit **No fit**Blocked - Waxed field jacketNo approved relationship yet **Unknown**Ask a person The register your product specialist keeps: what fits what, and the lookalike that doesn’t. ## How you’ll know it’s working. 1. Correctly configured baskets Out of eligible attempts, replayed against real past questions and returns. 2. Returns for the wrong part The cost the register exists to prevent. 3. Specialist minutes per correct basket Whether the assistant is taking real work off your experts, not adding review. Baselines agreed before we build. ## Works with what you have. Commerce - Shopify - NetSuite Search & AI - Zoovu - Algolia Support - Gorgias We configure first Shopify metafields or your product information system can hold compatibility today. A deterministic configurator may already do the job, and we’ll say so. We build when Your range is large, or changes often enough, that rules kept by one specialist can’t keep up. ## What a first build includes. Built in your accounts, around your team. Scope, fee and baseline agreed before we start. 1. 1 Design 2. 2 Build 3. 3 Run it, or hand it over [Start with a review]() [Scope this build]() ### We build - A compatibility register of parts, models and years - An assistant that asks, checks and builds the basket - Stop rules for anything the register can’t confirm - A review queue for new products and returned parts ### We start from - Model IDs, specs and manuals - Past returns for the wrong part - Shopify, ERP and product-information access ### From your team Owner Category or product lead, with ecommerce Involves - Product - Merchandising - Ecommerce - Customer service ## Questions teams ask. Can’t an assistant just read the product descriptions? It can match words. A compatibility rule is an approved combination, so we keep those as data and the assistant explains them. Who keeps the rules current? Your product specialist, through a review queue we build and train the team to run. If keeping the rules costs more than the range they cover is worth, we’ll say so before you build. Who owns it once it’s running? You do. It’s built in your accounts, documented, with training for the people who run it. Ownership usually sits with your category or product lead, with ecommerce. We can keep running it with you, or step back. How do we start? Usually with an AI shopping review: two to four weeks, a fixed fee credited to the build, and a plan that’s yours. If the job is already clear, we can scope the build directly. ## Part of your AI shopping engine. One of 13 use cases, in 5 parts. [See the whole AI shopping engine]() 1. [Found & right **3**]() 2. [Help choosing **3**]() 3. [Orders that complete **3**]() 4. [Buying on account **1**]() 5. [Proof & route **3**]() In help choosing - [**Guided shopping**Build a shopping assistant that helps customers choose]() - [**Delivery-aware answers**Recommend only what can arrive in time]() - **Compatible baskets**You’re here Works with - [**AI answer accuracy**Find and fix what AI assistants say about your products]() - [**Checkout routes**Keep AI-referred sales whole, from answer to order]() - [**Product answers**Answer product questions from the right version of the facts]() See it at work - [**Also in**Digital commerce & conversion]() ## Sell the part that fits. Start with an AI shopping review. [Start with an AI shopping review]() [**Talk it through first**15 minutes]() We reply within one business day. --- Source: [https://www.thekeating.co/use-cases/compatible-baskets/]() [Contact Keating & Co](mailto:nelson@thekeating.co) · [Agent guidance](https://www.thekeating.co/llms.txt)