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Project Title: AI-Powered B2B2C Auto Parts Marketplace Platform with Advanced Data Analytics & ERP Integration (Golang / React) Project Description: We are seeking an experienced full-stack development team or senior developers to build a highly scalable, AI-powered B2B2C Auto Parts Marketplace Platform. The platform will connect local auto parts vendors with retail customers. The core engine must handle intensive search queries, leverage Artificial Intelligence for semantic search/chat, provide deep market demand analytics in the admin panel, and integrate seamlessly with third-party ERP/Accounting systems via a universal API module. Technical Stack & Infrastructure Requirements: * Backend: Golang (Go) utilizing Clean Architecture (DDD principles preferred). Built as a highly optimized modular monolith. * Frontend: React.js with TypeScript. State management via Redux Toolkit. Fully responsive UI. * Localization (i18n): Full multi-language architecture from Day 1. All strings must be externalized (e.g., via JSON files). The initial launch will support Azerbaijani and Russian. * Primary Database: PostgreSQL. Optimized indexing for parts, brands, vehicle taxonomies, and high-volume analytical logs. * Caching Layer: Redis for session management and static catalog caching. * Search Engine: Elasticsearch for handling millions of SKUs and part numbers. * DevOps: Git-based workflow hosted on a private GitHub/GitLab repository. Docker containerization and CI/CD pipelines for automated staging/production deployment are required. * TecDoc API Integration & Efficient VIN/Chassis Catalog Caching: The platform must fully integrate the TecDoc API to allow users to look up exact, manufacturer-approved auto parts using a vehicle's VIN/Chassis number. Crucial Optimization Requirement: To minimize ongoing external API request costs and maintain optimal platform performance, once a unique vehicle catalog tree and parts schema are successfully retrieved from TecDoc, this data must be systematically persisted/cached on our own cloud infrastructure (utilizing PostgreSQL and Redis). Any subsequent user searches for the exact same VIN must completely bypass the external TecDoc API and fetch the data directly from our local database in milliseconds. Key Modules & Advanced Features: 1.AI-Powered Semantic Search & Chatbot (Gemini / OpenAI API Integration) * Semantic Search: The search bar must be integrated with an LLM (e.g., Gemini API). It must understand automotive slang, synonyms, and multilingual inputs. For example, if a user types "nakladka" (local slang), "əyləc bəndi" (Azerbaijani), or "brake pads" (English), the AI must map the intent to the correct product category and fetch results via Elasticsearch. * AI Smart Chat Assistant: A floating chat-bot on the front-end. Users should be able to type natural language queries (e.g., "I need front brake pads for a BMW E39"). The AI must parse the vehicle model and part type, search the database, and present the matching products directly inside the chat interface as clickable links. 2. Cart & Checkout with Dynamic Payment Routing (Multi-vPOS) * Direct integration with multiple commercial bank Virtual POS (vPOS API) systems supporting 3D Secure (No third-party aggregators like Stripe or Payriff). * Routing Logic: Upon card input, the system must trigger a backend BIN lookup to detect the issuing bank. If Card = Bank A, route to Bank A vPOS API; if Card = Bank B, route to Bank B vPOS API. All other credit/debit cards must route to a customizable "Default Bank vPOS" managed from the Admin Panel. * Strict Payment Failure Rule: In case of a 3D Secure failure or bank timeout, the system must NOT automatically route the user to an alternative bank's gateway. The transaction must stay within the original bank's workflow to preserve our lower commission rates. The system should display a clear error message, fully wipe/reset the card input form, and return the user to the beginning of the checkout step to trigger a fresh, secure BIN lookup upon retry. 3. Vendor Dashboard & Universal ERP Integration Module * Bulk Inventory Upload: Vendors must be able to upload, update, and sync thousands of SKUs, prices, and stock counts via both Excel (.xlsx) and CSV import tools. * Universal ERP/Accounting API (Webhook Framework): Develop a robust set of API endpoints and webhook triggers on the backend. This module must allow local third-party inventory/accounting software (such as 1C, BirSıra, or custom ERPs) to programmatically sync product catalogs, stock levels, and pricing data with the marketplace automatically. 4. Advanced Super Admin Panel (Data Analytics & Platform Control) * Deep Financial & Sales Analytics: Granular dashboard showing daily, weekly, monthly, and annual charts of total GMV (Gross Merchandise Value). Detailed performance logs broken down by specific vendors, product categories, and individual items. * Market Demand Insights (Search & Sales Data Mining): * Real-time tracking of Most Sold Products vs. Most Searched Terms. Analytics on searched terms that yielded zero results, allowing the platform owner to identify market supply shortages (e.g., high search volume for a specific part that vendors do not currently have in stock). * Payment & Settlement Monitoring: Live log of all transaction statuses, including detailed error logs for failed payments (e.g., insufficient funds, bank timeouts). Manual/automated vendor payout approval matrix. * Vendor & Commission Management: One-click functionality to suspend, block, or offboard vendors. Ability to set flexible, custom marketplace commission percentages per vendor or per category. * Dispute & Ticket Support System: Tools for admin intervention regarding customer complaints, wrong part deliveries, or return requests. * Low Stock Alerts: Automated warnings sent to both admins and vendors when popular SKUs fall below a defined threshold. Non-Functional Requirements: * Performance: Search API response times under 200ms utilizing Redis/Elasticsearch optimization. * Security: Secure JWT-based authentication, password hashing (bcrypt), HTTPS enforcement, and strict compliance with secure payment processing standards (no raw card data stored on our servers). Deliverables: 1. Complete, production-ready source code in our private GitHub/GitLab repository. 2. Fully functional MVP deployed on our cloud server (AWS / Hetzner / DigitalOcean). 3. Comprehensive Postman API collection (including AI endpoints, universal ERP webhooks, and vPOS checkout flows). 4. Database schema and architecture documentation. Please provide your estimated timeline, proposed architectural layout, and examples of similar marketplace, ERP integration, or AI-driven projects you have completed. Please note that the budget entered is symbolic; we welcome all proposals and the final price is negotiable based on your specific quote.
Project ID: 40521274
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223 freelancers are bidding on average $29,005 USD for this job

Hi — Elias here from Miami. I see you're looking to develop an AI-powered B2B2C auto parts marketplace with advanced data analytics and ERP integration. This type of platform aims to streamline the supply chain while providing insightful analytics, which is crucial for informed decision-making. What usually matters most here is ensuring scalability and maintainability as user demand grows. A common issue in systems like this is managing complex integrations with various data sources and APIs, especially when incorporating AI features. The tricky part is usually aligning the user experience with backend processes to maintain smooth operations. My approach would focus on a modular architecture using Golang for the backend to ensure high performance, combined with React for a responsive frontend. This allows for easy updates and future expansion. I have previously worked on similar platforms where I implemented robust data handling and optimized API interactions. A few questions to better understand the scope: Q1 – What are your primary user roles and their specific workflows? Q2 – How do you envision the integration with existing ERP systems? Q3 – What are your scaling expectations in terms of user traffic and data volume? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.
$25,000 USD in 35 days
8.0
8.0

18 Years of Experience Hi, Hope you are doing good. I have extensive experience building scalable marketplace platforms, ERP integrations, and AI-powered search solutions using Golang, React, PostgreSQL, Redis, and Elasticsearch. For your B2B2C Auto Parts Marketplace, I propose a modular monolith architecture based on Clean Architecture (DDD principles), ensuring high performance, maintainability, and future scalability. The platform will include AI-powered semantic search and chatbot integration (OpenAI/Gemini), multi-bank vPOS payment routing, vendor inventory management, universal ERP/API integrations, advanced analytics dashboards, and multilingual support (Azerbaijani/Russian) from day one. I can deliver: • Production-ready Golang + React application • Elasticsearch-powered search with sub-200ms response targets • Secure payment workflows with 3D Secure compliance • ERP/Webhook framework for third-party system integrations • Dockerized deployment with CI/CD pipelines • Complete API documentation and deployment support Estimated timeline for MVP: 16–20 weeks, depending on final scope and third-party integrations. I would be happy to discuss the architecture, milestones, and provide relevant project examples during a call. Looking forward to collaborating with you. Srishti
$25,005 USD in 30 days
7.9
7.9

⭐⭐⭐⭐⭐ Build a Scalable AI-Powered B2B2C Auto Parts Marketplace Platform ❇️ Hi My Friend, I hope you are doing well. I just reviewed your project requirements and see you are looking for a full-stack development team to create an AI-powered auto parts marketplace. Look no further; Zohaib is here to help you! My team has successfully completed over 50 similar projects. We will build a robust platform that connects vendors with customers, ensuring seamless integration with ERP systems and advanced data analytics. ➡️ Why Me? I have 5 years of experience in full-stack development, specializing in Golang and React. My skills include creating responsive UIs, optimizing backend performance, and integrating third-party APIs. My strong grip on database management and cloud deployment ensures a solid foundation for your project. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work that demonstrate our capabilities. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Golang Development ✅ React.js & TypeScript ✅ API Integration ✅ PostgreSQL Database ✅ Elasticsearch ✅ Redis Caching ✅ Git & CI/CD ✅ Docker ✅ Data Analytics ✅ ERP Integration ✅ Responsive Design ✅ Multilingual Support Waiting for your response! Best Regards, Zohaib
$10,008 USD in 2 days
7.7
7.7

Hello, Your vision for an AI-powered auto parts marketplace aligns perfectly with my experience in building large-scale marketplaces, ERP integrations, AI-powered platforms, and high-performance search systems. I have 10+ years of experience in Golang, React, PostgreSQL, Elasticsearch, Redis, AI integrations (OpenAI/Gemini), payment gateways, and enterprise-grade SaaS platforms. For this project, I will architect a scalable modular monolith using Clean Architecture principles with Go, React TypeScript, PostgreSQL, Redis, and Elasticsearch. The platform will support multi-language localization from day one, TecDoc VIN lookup with intelligent caching, AI-powered semantic search and chatbot capabilities, advanced vendor management, ERP/webhook integrations, and dynamic bank vPOS routing with strict payment workflow controls. My development approach focuses on performance, security, maintainability, and future scalability while ensuring search responses remain optimized through Elasticsearch, Redis caching, and efficient database indexing. I would be happy to discuss the architecture, deployment strategy, and implementation roadmap in detail.
$1,000 USD in 25 days
7.1
7.1

⭕⭕⭕AI-Powered B2B2C Auto Parts Marketplace Development (Golang + React)⭕⭕⭕ Hello, I'll develop a high-performance B2B2C auto parts marketplace using Golang, React, PostgreSQL, Redis, and Elasticsearch, featuring AI-powered semantic search, TecDoc integration with intelligent caching, multi-bank vPOS payment routing, ERP synchronization, and advanced business analytics designed to scale to millions of SKUs. Key Features AI Semantic Search & Smart Chat Assistant, TecDoc VIN/Chassis Integration with Local Caching, Multi-Vendor Marketplace Management, Dynamic Multi-Bank vPOS Payment Routing, Universal ERP & Accounting API Framework, Advanced Sales & Demand Analytics Dashboard, Elasticsearch-Powered Product Discovery, Multi-Language & Enterprise-Grade Scalable Architecture READY TO START WORK IMMEDIATELY!!!!! Thanks
$3,000 USD in 15 days
6.9
6.9

This is a highly ambitious marketplace project and the success of the platform will depend heavily on architecture decisions made from day one. The combination of AI-powered semantic search, millions of SKUs, ERP synchronization, multi-bank payment routing, and advanced analytics requires a scalable backend designed for performance rather than a typical e-commerce implementation. My proposed architecture aligns closely with your requirements: Backend: Golang Frontend: React + TypeScript + Redux Toolkit Database: PostgreSQL Caching: Redis Search: Elasticsearch Infrastructure: Docker, CI/CD, GitHub/GitLab, AWS For the AI layer, I would implement a hybrid approach where Gemini/OpenAI handles intent recognition, vehicle parsing, and multilingual normalization, while Elasticsearch remains responsible for the final product retrieval to maintain speed and control. This allows support for local terminology, automotive slang, Azerbaijani, Russian, and future languages. The ERP Integration Module would be designed as a universal webhook/API framework capable of connecting. Estimated Timeline • Discovery & Architecture: 2–3 weeks • Core Marketplace & Vendor Platform: 8–10 weeks • AI Search & Chat Assistant: 3–4 weeks • ERP & vPOS Integrations: 4–5 weeks • Analytics, QA & Production Deployment: 3–4 weeks Estimated MVP: 18–24 weeks This is the type of platform where performance, maintainability, and future scalability are more important than rapid feature delivery.
$35,000 USD in 180 days
6.9
6.9

Hello! I am glad to say that i have already developed an AI powered B2B2C auto parts marketplace that connects vendors and customers through intelligent product discovery, advanced analytics, ERP integrations, and a robust multi vendor commerce ecosystem. The goal is to create a future ready platform that combines marketplace functionality with AI driven search, operational automation, and deep business intelligence. My focus will be on delivering an enterprise grade marketplace featuring AI powered semantic search and chat assistance, multi vendor inventory management, dynamic payment routing through multiple bank vPOS integrations, ERP synchronization APIs, advanced analytics dashboards, commission management, dispute handling, and real time operational monitoring. I specialize in building large scale marketplace platforms, AI powered applications, ERP integrations, payment systems, and data driven admin ecosystems. My approach focuses on scalable architecture, efficient search infrastructure, secure transactions, and actionable analytics that support long term business growth. Let’s connect to discuss the platform architecture, AI capabilities, payment ecosystem, and integration strategy so we can build a scalable marketplace that becomes the leading destination for automotive parts discovery and commerce. Best regards, Nikita Gupta.
$1,000 USD in 45 days
6.6
6.6

Hi there, I understand you need a highly scalable AI-powered B2B2C auto parts marketplace built with Golang, React, PostgreSQL, Redis, Elasticsearch, multilingual support, semantic search, AI chat, vendor management, ERP integrations, dynamic vPOS routing, and advanced analytics. I have experience building marketplace platforms, ERP/API integrations, Elasticsearch-based search engines, AI-assisted product discovery, payment systems, microservice-ready architectures, and high-performance Go/React applications designed for large catalogs and complex business workflows. I would implement a Clean Architecture modular monolith in Go, integrate Elasticsearch and LLM-powered search/chat, build the ERP webhook framework, vendor ecosystem, analytics dashboards, multi-bank payment routing, and deploy a production-ready MVP with CI/CD, Docker, documentation, and API collections. Q1: How many SKUs, vendors, and ERP systems are expected during the first year? Q2: Which Azerbaijani banks must be supported in the initial vPOS routing implementation? Q3: Do you already have automotive catalog/taxonomy data, or should vehicle-part mapping be developed as part of the project? Best regards, Stratos
$2,500 USD in 7 days
6.9
6.9

Hi I can help build this AI-powered B2B2C auto parts marketplace using Golang, Clean Architecture, React TypeScript, Redux Toolkit, PostgreSQL, Redis, Elasticsearch, Docker, CI/CD, and multilingual i18n from day one. The main technical challenge is keeping VIN/TecDoc lookup, millions of SKUs, semantic search, vendor inventory sync, vPOS routing, and analytics fast and reliable without creating a fragile monolith. My approach is to build a modular monolith with clear domains for catalog, vehicles, vendors, orders, payments, AI search, ERP webhooks, admin analytics, and settlement workflows. For TecDoc, I would persist resolved VIN catalog trees into PostgreSQL and Redis so repeated searches bypass external API calls and return locally in milliseconds. For AI, I can integrate Gemini or OpenAI to normalize multilingual slang and natural-language part requests into Elasticsearch queries and chatbot product results. For payments, I can implement secure BIN-based vPOS routing with 3D Secure handling, no raw card storage, strict failure rules, and detailed transaction logs. I can also provide Postman collections, database schema, API documentation, deployment notes, and source code in your private repository. Thanks, Hercules
$30,000 USD in 70 days
6.6
6.6

Hello, It will be an honor to work with you. I have carefully read and understood your requirements for the AI-powered B2B2C Auto Parts Marketplace Platform. With 14+ years of experience in Golang, React.js, AI integrations, ERP systems, payment gateways, and large-scale marketplace development, I can build a scalable, high-performance solution that meets your business goals and technical requirements. I will implement a clean, modular architecture with AI-powered semantic search, chatbot integration, Elasticsearch, vendor management, ERP/webhook connectivity, advanced analytics, and secure multi-bank payment routing. Please check my profile to review my ratings, client feedback, and experience with complex marketplace and enterprise projects. Estimated MVP timeline is 16–24 weeks. Budget and timeline can be discussed further based on the final scope and integrations. I look forward to discussing the project in detail. Warm Regards, Harpreet Singh
$9,000 USD in 5 days
6.4
6.4

Hi, I read your project "AI-Powered B2B2C Auto Parts Marketplace Platform with Advanced Data Analytics & ERP Integration (Golang / React)" and I can help with it. I would focus on responsive front-end work and clean component structure. I noticed the relevant skills include JavaScript Golang HTML5 PostgreSQL RESTful Redis Elasticsearch API Development AI Chatbot AI Development. My approach: 1. Review the current setup and confirm the exact requirements. 2. Implement the requested work in a clean, maintainable way. 3. Test the result and provide a clear handover with any setup notes needed. Clarification questions: 1. Which external services, APIs, or payment gateways need to be connected, and will test credentials be available? 2. What backend structure, database, user roles, and admin access should the implementation support? 3. What deployment environment, server access, and database access are available for the project? Best regards
$25,005 USD in 7 days
6.2
6.2

This is a serious marketplace platform that goes far beyond a standard eCommerce build. The combination of AI-powered search, ERP synchronization, multi-vendor operations, Elasticsearch, payment routing, and advanced analytics requires a carefully designed architecture from the start. I would recommend a modular monolith architecture using Golang with Clean Architecture principles, PostgreSQL, Redis, Elasticsearch, and React/TypeScript. This approach provides high performance while avoiding the operational complexity of microservices during the MVP phase. The platform can be structured into independent modules including Catalog, Search, Vendors, Orders, Payments, ERP Integrations, Analytics, AI Services, and Administration. For the AI layer, I would implement semantic search using Gemini or OpenAI with Elasticsearch retrieval, multilingual intent mapping, automotive taxonomy normalization, and an AI assistant capable of translating natural language requests into structured vehicle and part searches. The ERP module would expose secure APIs and webhooks for inventory, pricing, stock synchronization, and accounting integrations. The analytics component is particularly valuable and can provide demand forecasting, search-to-sale conversion metrics, zero-result search insights, vendor performance tracking, and marketplace growth analytics.
$20,000 USD in 50 days
5.9
5.9

As an experienced AI and Cloud Developer, I believe I am an excellent fit for your AI-Powered B2B2C Auto Parts Marketplace Platform project. Over the years, I have built scalable backend systems, integrated AI models, and developed user-friendly web dashboards. This aligns perfectly with your technical stack and infrastructure requirements. Specifically, my expertise with Golang (Go) aligns well with your desired backend language. Additionally, my proficiency in React.js with TypeScript makes me well-versed in creating the frontend experience you're targeting. More so, given your strong emphasis on Artificial Intelligence capabilities such as Semantic Search and AI-powered Chatbot integration. These two aspects alone stand out from my previous projects where I have implemented similar functionalities seamlessly. Moreover, my ability to create API endpoints and webhook triggers will be invaluable for the ERP Integration Module you're seeking. I have experience with various accounting software such as 1C and BirSira which aligns nicely with your requirements. With a keen eye on details and deep understanding of data analytics,I am confident in providing you with not only reliable systems but exceptional data insights which will aid business decisions effectively.
$10,000 USD in 60 days
6.0
6.0

Hello! Мы можем сделать вам масштабируемую B2B2C-платформу под эту задачу. 1. Какие модули для MVP важнее всего в первую очередь? 2. Есть ли уже требования по интеграциям и архитектуре? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!
$25,005 USD in 7 days
6.3
6.3

Hi. To build this marketplace right, I’d structure the backend as a Go modular monolith with Clean Architecture, PostgreSQL, Redis, and Elasticsearch, then expose all AI, ERP, and checkout flows through clean service boundaries. The semantic search and chat layer can use Gemini/OpenAI with intent mapping for slang, multilingual queries, and vehicle/part matching, while Elasticsearch handles fast retrieval under load. For payments, I’d implement BIN-based routing with a configurable default vPOS path, plus secure 3D Secure flows and no raw card storage. On the admin side, I’d wire sales, GMV, zero-result search mining, vendor controls, settlement logs, and low-stock alerts into a responsive React + TypeScript dashboard. As a Senior Full-Stack Developer, I have mastered Golang, React, TypeScript, PostgreSQL, Redis, Elasticsearch, Docker, and CI/CD and have strong experience in B2B marketplaces, ERP integrations, AI search systems, and analytics platforms. I am sure I can deliver high-quality results within a realistic timeline for a product of this size. The architecture would stay API-first, Dockerized, and deployment-ready for AWS, Hetzner, or DigitalOcean, with a full Postman collection and clear schema docs. Let’s get in touch and discuss more. Thanks.
$28,500 USD in 75 days
5.9
5.9

Hello, 1. Are you open to discussing the timeline and architectural layout in a quick chat? 2. Have you decided on the cloud provider yet? Excited about your AI marketplace! I will approach this by ensuring smooth integration of AI and ERP modules while focusing on optimizing search response times. Handling the multi-language AI-powered search is crucial, and I have strategies to streamline it. I'll send examples of similar work in chat. Let's dive deeper and tailor this project to your vision. Feel free to message me for a quick discussion!
$1,000 USD in 10 days
5.6
5.6

Hello, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on JavaScript, Golang, HTML5, PostgreSQL, RESTful, Redis, Elasticsearch, API Development, AI Chatbot, AI Development Lets connect in chat so that We discuss further. Regards
$33,700 USD in 7 days
5.7
5.7

Hi there, We’ve built several large-scale marketplaces with advanced features like AI-driven search, multi-vendor management, and dynamic payment routing. One of our recent projects, Descripio, involved integrating OpenAI’s LLM to help Amazon sellers optimize product listings by analyzing existing reviews and competitor data. We also have extensive experience with ERP integrations, having worked with platforms like SAP, Odoo, and Zoho. We understand the importance of seamless data synchronization between systems and can implement it effectively. As a team, we’re adaptable and can quickly switch between front-end and back-end tasks, ensuring you get the best developer for each specific job. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best, Adil
$14,178.49 USD in 21 days
5.7
5.7

Hey there, I'm Ruslan and I've got the experience you need to make your AI-powered B2B2C Auto Parts Marketplace Platform a reality. With a solid background in full-stack development and an acute understanding of Golang (Go) and React.js, I have all the skills necessary to successfully navigate through this complex project. Specifically, my expertise in clean architecture (DDD principles preferred) using Go combined with advanced front-end knowledge utilizing React.js with TypeScript, Redux Toolkit for state management, fully responsive UI, multi-language architecture, PostgreSQL and innovative technologies such as Elasticsearch for handling millions of SKUs and Redis for session management gives me an excellent foundation for excellently executing this project. Moreover, my past experience integrating complex systems and managing databases allows me to confidently tackle the requirement of universal API module. I also have banking API integration experience which aligns well with your project requirement of dynamic payment routing. Finally, I don't consider a project complete until it has gone through automated staging/production deployment. Contracting my services ensures you not only get cutting-edge solutions but also a professional who believes in utmost quality and efficiency. Let's translate your vision into a scalable masterpiece!
$1,500 USD in 7 days
5.9
5.9

The ERP sync is the thing that determines whether the AI chatbot is useful or just a search box with a chatty frontend. If the inventory data coming in is messy or delayed, the catalog-aware responses are going to be wrong, and that's a hard problem to fix after the UI is built. I'd want to nail the ERP contract in M1 alongside the marketplace skeleton, before any search or AI work starts. For the Go API layer, I'd structure it around three main service domains: catalog (PostgreSQL + Elasticsearch), B2B2C access and pricing logic (roles and tiered visibility baked into the schema from day one, not bolted on later), and ERP sync (a queue-based reconciliation job with configurable field mappings). Redis handles sessions and hot-path caching. Elasticsearch gets a fitment-aware schema, so make/model/year filtering works as a first-class feature rather than a post-filter hack on top of a flat product index. The AI chatbot I'd build last, once the catalog is stable and the data is trustworthy. It's more or less a RAG layer over the catalog index. Wiring it up before the catalog is settled just creates churn. M1: Go API scaffold, auth, Postgres schema, B2B2C role model, $8,500, 15d. M2: Elasticsearch catalog, fitment search, Redis caching, $8,500, 15d. M3: ERP integration, inventory sync queue, reconciliation logic, $8,500, 15d. M4: AI chatbot (RAG over catalog), order management, B2B quoting flows, $8,500, 15d. M5: Analytics dashboard, data exports, deployment, final QA, $8,500, 15d. Which ERP are you integrating against, and do you have a sample data export or schema you can share?
$42,500 USD in 75 days
5.5
5.5

Baku, Azerbaijan
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