Shopper guidance and store follow-up workbench

For

Online stores and marketplace sellers serving shoppers who need help choosing and buying

Solves

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.

Delivers

Reviewed product guidance and follow-up messages

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce disconnected shopping tools while keeping product answers and follow-ups in one owned workflow.

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. Operate in multiple languages for global shoppers.
5. Install into platforms like Shopify as part of the online store.
6. Provide round-the-clock assistance for customer queries.
7. Summarize customer feedback into key pros and cons.
8. Monitor price fluctuations and predict trends.
9. Notify shoppers when out-of-stock items return.
10. Support specific retailers like Amazon.com with planned expansion.
11. Assist in selecting products suited to individual needs.
12. Integrate within a specific marketplace like eBay.
13. Support voice commands as a planned feature.
14. Integrate with external smart assistants as a planned feature.
15. Send automated cart abandonment reminders by email and SMS.
16. Reach customers via email, SMS and push notifications.
17. Track recovery performance and customer interactions.
18. Turn product catalogs into an AI-driven personal shopping assistant.
19. Use stock levels and pricing for accurate real-time information.
20. Customize to match the brand's voice and interaction style.
21. Compare the reviewed result with the recorded baseline and value assumptions.
22. Capture corrections and named-owner approval before consequential use.
23. Export a versioned reviewed product guidance and follow-up messages with source references and unresolved questions.

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

What goes in, what comes out

The workflow

1. In
   Start with

   The store's product catalog, stock levels, pricing, brand voice and customer conversation history

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect the store's product catalog

4. 3

   Stock levels

5. 4

   Pricing

6. 5

   Brand voice and customer conversation history

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Reviewed product guidance and follow-up messages

AI does the heavy lifting, people stay in charge

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.

What your team sees

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.

Accounts and administration

Project ownership, catalog versions, brand voice rules, approval states, usage allowances, message limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

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.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case; first modules: suggest products tailored to individual shopper preferences; answer product questions in a conversational chat interface. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will online stores and marketplace sellers serving shoppers who need help choosing and buying use it to solve "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"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Assisted conversions per support hour and recovered carts per outreach batch.
4. Measure, then decide. Track assisted conversions per support hour and recovered carts per outreach batch; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed product guidance and follow-up messages. Retain the explicit scope boundary: One connected store catalog and approved brand voice; final pricing, stock and promotion checks remain with the store.

What the build depends on. Catalog upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist retail QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One connected store catalog and approved brand voice; final pricing, stock and promotion checks remain with the store.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined store package. Offer a monthly production allowance after repeat demand. Quote complex marketplace, voice or smart-assistant work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed product guidance and follow-up messages. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce disconnected shopping tools while keeping product answers and follow-ups in one owned workflow. Demonstrate a concrete reviewed product guidance and follow-up messages using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Online stores and marketplace sellers serving shoppers who need help choosing and buying professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed product guidance and follow-up messages from a small authorized input set, with a transparent calculation of assisted conversions per support hour and recovered carts per outreach batch and no promised savings.

The first 30 days

1. Week 1: interview five online stores and marketplace sellers serving shoppers who need help choosing and buying and inspect a recent example of shoppers ask product questions across chat, email and SMS while stores run separate tools for recommendations, comparison, price tracking and cart recovery.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure assisted conversions per support hour and recovered carts per outreach batch, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Assisted conversions per support hour and recovered carts per outreach batch. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Assisted conversions per support hour and recovered carts per outreach batch; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed product guidance and follow-up messages. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved brand voices, product data mappings and review examples, together with reliable delivery for a narrow retail niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for online stores and marketplace sellers serving shoppers who need help choosing and buying. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

BrowseBuddy, BuyScout™, eBay AI Shopping Agent, Cartfuls and Commerce AI. Compare this product with the buyer's present method on assisted conversions per support hour and recovered carts per outreach batch. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, message delivery, storage, reviewer hours, client revision rounds and licensed source data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed product guidance and follow-up messages. Track cost per accepted output, including correction work, unsuccessful cases and support.

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.