MicrocosmWorksInovasi dan Arsitektur Kosmos Digital
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MicrocosmWorksInovasi dan Arsitektur Digital Cosmos

Menyediakan solusi IT yang penting. Kami bersemangat tentang teknologi, keamanan, dan membantu bisnis tumbuh melalui infrastruktur IT yang andal dan inovatif.

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Pusat Pertumbuhan AI

AI HubInovasi StartupAkselerator Perusahaan

Solusi

Semua SolusiAplikasi Kesehatan & KebugaranPlatform Video AIPengembangan Agen AI

Sumber Daya

WawasanPanduan IndustriCetak Biru Kasus PenggunaanPola ArsitekturStudi Kasus

Perusahaan

Tentang KamiKontakPekerjaan Kami

Layanan

Konsultasi DigitalInfrastruktur CloudPengembangan SaaSPengembangan AITeknologi Video
Pengembangan ERPKustomisasi ZohoPengembangan OdooIntegrasi SalesforcePengembangan CRM Kustom
Integrasi QuickBooksSolusi IoTPengembangan Blockchain
Konsultasi Keamanan SiberDukungan IT - L3

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AI Development
Live
Web

Invendora: Platform Pencarian B2B Didukung AI

Sebuah platform B2B berbasis AI yang mengotomatiskan manajemen produk dan vendor untuk bisnis e-commerce dan rantai pasok, memanfaatkan GPT untuk pertanyaan produk berbasis percakapan dan rekomendasi kontekstual.

Kunjungi Proyek LangsungLihat Lebih Banyak Proyek
11+
Technologies
7+
Key Features
Web
Invendora project screenshot

Fitur Utama

Pencarian Cerdas Didukung AI dengan integrasi GPTPengambilan Data Otomatis dari pasar globalManajemen Produk & Vendor TerpusatPencarian Lanjut & Filter PersistenPanel Admin & Dasbor AnalitikSistem Email & Notifikasi

Tumpukan Teknologi

Node.jsPostgreSQLChatGPTVector DatabaseLLM Prompt EngineeringElasticsearchReactPuppeteerCheerioApifySendGrid

Kontribusi Kami

Kontribusi Kami

Kami mengembangkan dan mengimplementasikan platform SaaS AI Invendora dengan:

  • Pencarian Cerdas Didukung AI: Mengintegrasikan GPT untuk pertanyaan produk berbasis percakapan dan rekomendasi kontekstual
  • Pengambilan Data Otomatis: Menggunakan Puppeteer, Cheerio, dan Apify untuk mengekstrak produk dari pasar vendor global
  • Manajemen Produk & Vendor: Membangun katalog terpusat, organisasi kategori, dan fitur unggah massal
  • Pencarian Lanjut & Filter: Mengimplementasikan filter global persisten dan opsi pencarian multi-kriteria
  • Panel Admin & Analitik: Mengembangkan dasbor untuk manajemen pengguna, filter, kategori, dan wawasan operasional
  • Email & Notifikasi: Mengintegrasikan SendGrid untuk komunikasi yang andal
  • Infrastruktur Skalabel: Arsitektur siap-Cloud dengan otentikasi kuat dan optimasi kinerja
  • Penyebaran & Pemeliharaan: Jalur CI/CD untuk pembaruan tanpa hambatan dan pengiriman berkelanjutan

Hasil

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

Punya Proyek Serupa?

Mari diskusikan bagaimana kami dapat mewujudkan visi Anda dengan tingkat keahlian dan dedikasi yang sama.

Hubungi KamiLihat Lebih Banyak Proyek
Platform
Infrastruktur Cloud Skalabel
Scalable and secure enterprise-grade architecture
Future-ready platform with ongoing integrations

Pertanyaan yang Sering Diajukan

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.