sellerbox.ai
A production SaaS for Wildberries marketplace sellers: a Telegram bot and Mini App. The core is an AI card-audit engine: for a given article it pulls WB-API data and returns a 0–100 score across ads, infographics, SEO, reviews and price, with infographic and description generation, review replies and a unit-economics calculator alongside it. This is a full-stack product with billing, not a single-model demo: bot, Mini App, admin panel and credit-based payment.
- 01 An article → a 0–100 report: ads, infographics, SEO, reviews, price.
- 02 Fixes sit next to the diagnosis: infographics, descriptions, replies.
- 03 A real SaaS with credit-based billing, not a prototype.
A seller cannot see what to fix on a card first.
A seller has dozens of cards and no clear signal about what actually drags each one down: ads, weak infographics, thin SEO, bad reviews or price. The data is scattered across the WB API and third-party tools; diagnosing one card by hand is slow, and doing it across a whole catalog is impossible.
- Dozens of cards — and no clear signal about what to fix first.
- The data is scattered across the WB API and various tools.
- Diagnosing one card by hand is slow; a whole catalog is unrealistic.
- Ads, infographics, SEO, reviews and price all pull at once.
A 0–100 score per card — and the tools to raise it.
For a given article the product pulls WB-API data into one report scored 0–100 across five axes, and attaches the fixes right next to the diagnosis: infographic and description generation, review replies and a unit-economics calculator.
- 01
Fold a card into one report
For a given article we pull WB-API data and score it 0–100 across five axes: ads, infographics, SEO, reviews, price. Two formats: a short card right in the bot and a full report with charts.
- 02
Score the ads
CTR, CPC and CPM, keyword clustering, and minus-word recommendations.
- 03
Score infographics with a vision model
Every card photo gets a score — what exactly to improve in the shot.
- 04
Break down reviews and price
Rating, buyout rate, the cart → order → buyout funnel and complaint mining; price versus competitors and 30-day revenue.
- 05
Provide the fixes
A card is generated in three steps: product → description → prompt and render, with the text laid on top as a separate layer. Plus SEO-oriented AI descriptions, review replies and a unit-economics calculator.
A full-stack SaaS with an AI + vision pipeline and billing.
A Python/FastAPI backend and an aiogram bot, Postgres/Neon + pgvector for RAG, SQLAlchemy/Alembic, a Redis + ARQ task queue. The client is a Telegram Mini App with server-verified initData; the admin is server-rendered on FastAPI + Jinja2 (deliberately no React-admin — easier in AI-assisted development). Payment is credit- and subscription-based.
The AI layer combines OpenAI, Claude and Gemini; a dedicated vision model scores card photos, 4K infographic generation runs through Nano Banana Pro and GPT Image 2, and video through Kling. The unit-economics engine matches industry-standard calculators (FBO/FBS commissions, logistics, SPP, KZ tax regimes, live per-category tariffs). Infra is AWS (EC2/S3/CloudFront/Route53), Cloudflare, Docker Compose with GitHub Actions autodeploy, and Sentry.
FastAPI backend and an aiogram bot.
Postgres/Neon + pgvector (RAG), a Redis + ARQ queue.
Telegram Mini App with server-verified initData.
A vision model — per-photo scoring of the card.
4K infographic generation (Nano Banana Pro / GPT Image 2), video via Kling.
A unit-economics engine matching industry-standard calculators (FBO/FBS, SPP, KZ taxes, tariffs).
Credit and subscription billing, GitHub Actions autodeploy, Sentry.
A single audit costs about a kopeck to run; abuse is capped at one audit per card per hour.
What changed
Card audit became one button
For a given article — a 0–100 report across five axes instead of a manual sweep through five tabs.
Diagnosis and fixes sit together
Vision photo scoring, 4K infographic generation and AI descriptions come right after the report, not as a separate tool.
A production SaaS with billing
A full-stack product — bot, Mini App and admin — with credit-based payment, not a prototype.
Need a full-stack AI product with auditing, generation and billing?
We build these SaaS end to end: API data collection, an analytics engine, an AI and vision pipeline, a Mini App, and credit-based payment.