AI app for marketing · no coding needed
Shopper guidance and store follow-up workbench
Reduce disconnected shopping tools while keeping product answers and follow-ups in one owned workflow.
Made for: Online stores and marketplace sellers serving shoppers who need help choosing and buying
What it does for you
The problem
Shoppers ask product questions across chat, email and SMS while stores run separate tools for recommendations, comparison, price tracking and cart recovery, so answers, follow-ups and data sit in disconnected subscriptions.
What it gives you
Reviewed product guidance and follow-up messages
What you give it
The store's product catalogstock levelspricingbrand voicecustomer conversation history
Build your own version of BrowseBuddy, BuyScout™ and more
One app with what these 5 AI tools do, yours to keep and change: BrowseBuddy, BuyScout™, eBay AI Shopping Agent, Cartfuls, Commerce AI.
Everything these tools do, in one app
- Personalized product recommendations Suggests products tailored to individual shopper preferences.Found in BrowseBuddy, BuyScout™, eBay AI Shopping Agent and 1 more
- Chat-based shopping assistance Lets shoppers ask product questions and get answers in a conversational interface.Found in BrowseBuddy, BuyScout™, Commerce AI
- Product comparison Helps users compare products side by side to make decisions.Found in BrowseBuddy, BuyScout™
- Multilingual support Operates in multiple languages for global shoppers.Found in BrowseBuddy
- E-commerce platform integration Can be installed on platforms like Shopify to become part of the online store.Found in BrowseBuddy, Cartfuls, Commerce AI
- 24/7 customer support Provides round-the-clock assistance for customer queries.Found in BrowseBuddy
- AI product insights Summarizes customer feedback to highlight key pros and cons of products.Found in BuyScout™
- Price tracking Monitors price fluctuations and predicts trends to help shoppers buy at the optimal time.Found in BuyScout™
- Restock alerts Notifies users when popular or out-of-stock items become available again.Found in BuyScout™
- Retailer support Works with specific retailers like Amazon.com, with plans to expand.Found in BuyScout™
- Expert guidance Assists in selecting products suited to individual needs.Found in eBay AI Shopping Agent
- Platform integration Integrated within a specific marketplace like eBay for seamless use.Found in eBay AI Shopping Agent
- Voice support Planned feature to allow voice commands.Found in eBay AI Shopping Agent
- Smart assistant integration Planned integration with external smart assistants.Found in eBay AI Shopping Agent
- Automated cart abandonment reminders Sends automated emails and SMS to re-engage customers who abandoned carts.Found in Cartfuls
- Multi-channel outreach Reaches customers via email, SMS, and push notifications.Found in Cartfuls
- Analytics and reporting Tracks recovery performance and customer interactions.Found in Cartfuls
- Product catalog conversion Turns product catalogs into an AI-driven personal shopping assistant.Found in Commerce AI
- Structured data access Uses stock levels and pricing to provide accurate, real-time information.Found in Commerce AI
- Brand voice customization Allows customization to match the brand’s voice and interaction style.Found in Commerce AI
How it works, step by step
- Suggest products tailored to individual shopper preferences
- Answer product questions in a conversational chat interface
- Compare products side by side for shopper decisions
- Operate in multiple languages for global shoppers
- Install into platforms like Shopify as part of the online store
- Provide round-the-clock assistance for customer queries
- Summarize customer feedback into key pros and cons
- Monitor price fluctuations and predict trends
- Notify shoppers when out-of-stock items return
- Support specific retailers like Amazon.com with planned expansion
- Assist in selecting products suited to individual needs
- Integrate within a specific marketplace like eBay
- Support voice commands as a planned feature
- Integrate with external smart assistants as a planned feature
- Send automated cart abandonment reminders by email and SMS
- Reach customers via email, SMS and push notifications
- Track recovery performance and customer interactions
- Turn product catalogs into an AI-driven personal shopping assistant
- Use stock levels and pricing for accurate real-time information
- Customize to match the brand's voice and interaction style
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed product guidance and follow-up messages with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Shopper guidance and store follow-up workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Shopper guidance and store follow-up workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare28 KB
- prompt-vps.mdThe same build on your own server (Docker)28 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria15 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce disconnected shopping tools while keeping product answers and follow-ups in one owned workflow. For online stores and marketplace sellers serving shoppers who need help choosing and buying, convert the store's product catalog, stock levels, pricing, brand voice and customer conversation history into reviewed product guidance and follow-up messages. The benefit is a testable hypothesis, measured through assisted conversions per support hour and recovered carts per outreach batch; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect the store's product catalog, stock levels, pricing, brand voice and customer conversation history, then follow this sequence: 1. Suggest products tailored to individual shopper preferences. 2. Answer product questions in a conversational chat interface. 3. Compare products side by side for shopper decisions. 4. Send automated cart abandonment reminders by email and SMS. Resolve uncertain cases with qualified reviewers, approve reviewed product guidance and follow-up messages, and measure assisted conversions per support hour and recovered carts per outreach batch against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected store catalog and approved brand voice; final pricing, stock and promotion checks remain with the store. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, price and stock accuracy and usage permissions. Store owners approve substantive changes and outreach scope. One connected store catalog and approved brand voice; final pricing, stock and promotion checks remain with the store. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One connected store catalog and approved brand voice; final pricing, stock and promotion checks remain with the store. Implement one approved input format, a bounded representative case set and the first two task modules: suggest products tailored to individual shopper preferences; answer product questions in a conversational chat interface. Support the third module with operator review: compare products side by side for shopper decisions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Store-owned catalogs, authorized product data and permitted customer conversation sources. Cloud asset storage, e-commerce platform import/export and messaging destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Catalog and brand setup, Shopper conversation workspace, Follow-up campaign and delivery. Use a thumbnail gallery for products and conversations, a large central chat and comparison canvas, and a right-hand panel for product data, stock, price history and brand rules. Let users compare products side by side and compare AI drafts with approved answers. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant product or message. Make the task-specific outcome reviewed product guidance and follow-up messages visible beside its evidence, review state and value baseline.
