Invendora: Platform Carian B2B Dikuasakan AI

Sebuah platform B2B dikuasakan AI yang mengautomasikan pengurusan produk dan vendor untuk perniagaan e-dagang dan rantaian bekalan, memanfaatkan GPT untuk pertanyaan produk berbentuk perbualan dan cadangan kontekstual.

Lawati Projek Langsung Lihat Lebih Banyak Projek

11+

Technologies

Key Features

Web

Ciri-ciri Utama

Carian Pintar Dikuasakan AI dengan integrasi GPTPengekstrakan Data Automatik daripada pasaran globalPengurusan Produk & Vendor BerpusatCarian Lanjutan & Penapis BerterusanPanel Admin & Papan Pemuka AnalitikSistem E-mel & Pemberitahuan

Timbunan Teknologi

Node.jsPostgreSQLChatGPTVector DatabaseLLM Prompt EngineeringElasticsearchReactPuppeteerCheerioApifySendGrid

Sumbangan Kami

Kami membangunkan dan melaksanakan platform Invendora AI SaaS dengan:

Carian Pintar Dikuasakan AI: Mengintegrasikan GPT untuk pertanyaan produk berbentuk perbualan dan cadangan kontekstual
Pengekstrakan Data Automatik: Menggunakan Puppeteer, Cheerio, dan Apify untuk mengekstrak produk daripada pasaran vendor global
Pengurusan Produk & Vendor: Membina katalog berpusat, organisasi kategori, dan ciri muat naik pukal
Carian Lanjutan & Penapis: Melaksanakan penapis global berterusan dan pilihan carian berbilang kriteria
Panel Admin & Analitik: Membangunkan papan pemuka untuk pengurusan pengguna, penapis, kategori, dan pandangan operasi
E-mel & Pemberitahuan: Mengintegrasikan SendGrid untuk komunikasi yang boleh dipercayai
Infrastruktur Berskala: Seni bina sedia Cloud dengan pengesahan kukuh dan pengoptimuman prestasi
Penerapan & Penyelenggaraan: Saluran paip CI/CD untuk kemas kini lancar dan penghantaran berterusan

Keputusan

Successful MVP launch with initial B2B user onboardingFaster and more accurate business and vendor discoveryAI-powered insights enhancing sourcing and procurement decisionsCentralized vendor and catalog management reducing manual effort

Ada Projek Serupa dalam Fikiran?

Mari bincangkan bagaimana kami boleh merealisasikan visi anda dengan tahap kepakaran dan dedikasi yang sama.

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Soalan Lazim

MicrocosmWorks built Invendora's search using ChatGPT for conversational product queries combined with Elasticsearch for structured filtering and a vector database for semantic matching. Instead of keyword-based catalog browsing, buyers describe what they need in natural language and the AI returns contextually relevant products with explanations of why each matches. This approach surfaces products that keyword search would miss, especially for complex specification requirements.

MicrocosmWorks built a web scraping pipeline using Puppeteer, Cheerio, and Apify that crawls supplier websites, extracts product specifications, pricing, and availability data, and normalizes it into Invendora's unified schema. The pipeline runs on scheduled intervals with change detection to keep product data current. Extracted data is stored in PostgreSQL with vector embeddings indexed for semantic search, ensuring the catalog stays comprehensive and up-to-date.

Yes, MicrocosmWorks implemented a recommendation engine that analyzes purchase history, search patterns, and product affinities using the vector database. When a buyer searches for a product, the system cross-references their procurement profile to surface complementary products, preferred vendor alternatives, and quantity-based pricing tiers. LLM prompt engineering enables the AI to explain recommendations in the context of the buyer's specific use case.

MicrocosmWorks integrated SendGrid for automated email workflows between buyers and vendors. When a buyer expresses interest in a product, the platform generates a structured inquiry with specifications and quantity requirements, routes it to the appropriate vendor contact, and tracks the response pipeline. Vendors receive qualified leads with buyer context, while buyers get centralized communication tracking across all their product inquiries.

MicrocosmWorks built Invendora's core platform including the AI search engine, web scraping pipeline, vendor management system, and buyer-facing interface. At MicrocosmWorks development rates of $20-$40/hr, a similar AI-powered B2B search platform typically costs between $20,000-$45,000 for the initial build, with ongoing costs for scraping infrastructure, AI API usage, and platform maintenance available through our monthly support plans.