AI app for operations · no coding needed
Cross-retail price and second-hand comparison workspace
Reduce the time and tab-switching needed to reach a comparable purchase decision while keeping second-hand options visible.
Made for: Online shoppers and small buying teams comparing new and second-hand offers across retailers
What it does for you
The problem
Shoppers check several tabs and extensions for prices, stock, price history and second-hand options, and cannot see one comparable view before buying.
What it gives you
Reviewed comparison and clarification workspace linked to a documented purchase decision
What you give it
Permitted retailer listingsprice feedsstock signalssecond-hand marketplace data
Build your own version of Second Sense, Zyft and more
One app with what these 3 AI tools do, yours to keep and change: Second Sense, Zyft, Faircado.
Everything these tools do, in one app
- Browser extension availability Lets users access the tool directly in their web browser while shopping online.Found in Zyft, Faircado
- Real-time price comparison Shows prices from multiple retailers side by side instantly.Found in Zyft
- Second-hand alternatives Suggests pre-owned or second-hand products that match the user's current shopping interest.Found in Faircado
- AI-driven suggestions Uses AI to recommend products or alternatives based on the user's shopping choices.Found in Faircado
- Real-time stock updates Provides current stock availability information for products.Found in Zyft
- Price history tracking Shows past price changes to help users identify trends and time purchases.Found in Zyft
- Unbiased price presentation Displays prices from both large and small retailers without bias.Found in Zyft
- Automated data processing Streamlines analysis workflows by automatically processing data.Found in Second Sense
- Interactive dashboards Provides real-time visualizations of insights through interactive dashboards.Found in Second Sense
- Customizable reporting Allows users to create reports tailored to various business needs.Found in Second Sense
- Data source integration Connects with popular data sources and platforms to pull in data.Found in Second Sense
- AI predictive analytics Uses AI to forecast trends and outcomes for strategic planning.Found in Second Sense
- Intuitive user interface Offers an easy-to-use interface that lowers the learning curve for new users.Found in Second Sense
- Flexible visualization tools Provides flexible reporting and visualization options to enhance understanding.Found in Second Sense
- Responsive customer support Offers helpful documentation and responsive support to assist users.Found in Second Sense
- Sustainability focus Promotes eco-friendly shopping by highlighting second-hand options and reducing waste.Found in Faircado
- Community engagement Engages with a community focused on sustainability and conscious consumption.Found in Faircado
How it works, step by step
- Capture the current shopping interest and constraints
- Compare prices from multiple retailers side by side
- Suggest matching second-hand alternatives
- Recommend products or alternatives from the user's choices
- Show current stock availability per retailer
- Track past price changes and trends
- Present large and small retailer prices without bias
- Process listing and price data automatically
- Show interactive dashboards of the comparison
- Build customizable reports for different buying needs
- Connect permitted data sources and platforms
- Forecast price and availability trends
- Keep the interface simple for new users
- Offer flexible visualization and reporting options
- Provide documentation and responsive support
- Highlight second-hand options to reduce waste
- Capture community and sustainability notes
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed comparison and clarification workspace linked to a documented purchase decision 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 Cross-retail price and second-hand comparison workspace 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 Cross-retail price and second-hand comparison workspace 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 build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 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 the time and tab-switching needed to reach a comparable purchase decision while keeping second-hand options visible. For online shoppers and small buying teams comparing new and second-hand offers across retailers, convert permitted retailer listings, price feeds, stock signals and second-hand marketplace data into a reviewed comparison and clarification workspace linked to a documented purchase decision. The benefit is a testable hypothesis, measured through comparable offers reviewed per hour and corrections after purchase; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted retailer listings, price feeds, stock signals and second-hand marketplace data, then follow this sequence: 1. Capture the current shopping interest and constraints. 2. Compare prices from multiple retailers side by side. 3. Suggest matching second-hand alternatives. 4. Recommend products or alternatives from the user's choices. Resolve uncertain cases with qualified reviewers, approve a reviewed comparison and clarification workspace linked to a documented purchase decision, and measure comparable offers reviewed per hour and corrections after purchase 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 fixed product category and permitted retailer set; final purchase and price checks remain with the buyer. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve buyer intent, source attribution, price accuracy and usage permissions. Buyers approve substantive changes and purchase scope. One fixed product category and permitted retailer set; final purchase and price checks remain with the buyer. 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 fixed product category and permitted retailer set; final purchase and price checks remain with the buyer. Implement one approved input format, a bounded representative case set and the first two task modules: capture the current shopping interest and constraints; compare prices from multiple retailers side by side. Support the third module with operator review: suggest matching second-hand alternatives. 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
Buyer-owned shopping lists, permitted retailer price feeds and second-hand marketplace listings. Cloud data storage, spreadsheet import/export and reporting 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: Shopping interest and constraints, Comparison and clarification workspace, Saved decision and report. Use a thumbnail gallery for tracked products, a large central comparison table, and a right-hand panel for price history, stock, second-hand matches and notes. Let users compare new and second-hand offers side by side. Display draft, changes requested and approved states. Provide a shareable client preview link with comments anchored to the relevant offer. Make the task-specific outcome a reviewed comparison and clarification workspace linked to a documented purchase decision visible beside its evidence, review state and value baseline.
