Technical Proposal: Overstock Inventory Automation & Sales System 1. Project Overview We want to build an AI-driven inventory sourcing and sales system that integrates multiple suppliers, central inventory management, automated pricing, and a client-facing portal with analytics. The workflow is already defined (see attached diagram). The developer’s job is to build integrations, automation, and a user-friendly portal, using a mix of existing plugins/SaaS and custom development where needed. 2. Objectives - Automate inventory sourcing, syncing, and sales publishing across multiple platforms. - Implement AI-driven features: forecasting, dynamic pricing, automated promotions, order processing. - Develop a client “One-Click” portal/app for search, purchase, and order tracking. - Integrate customer feedback and analytics into a central dashboard. 3. System Components & Requirements A. Supplier & Inventory Integration - Connect Overstock Suppliers to Webuyabystock.com (custom or via APIs). - Implement a Central Inventory Database (cloud-based) with API endpoints. - Must support multi-channel syncing (Yabelo.com, Jirtu.com, and other sales platforms). Suggested Tools/Stack: WooCommerce / Shopify, Middleware (n8n, Zapier, Integromat), MySQL/Postgres (cloud-hosted), or existing ERP. B. AI & Automation Layer - Inventory Forecasting (predict demand, reorder points). - Dynamic Pricing (rules + AI-driven adjustments). - Automated Promotions (based on stock levels, seasonality, customer behavior). - Order Processing Automation (status updates, shipping labels, returns). Suggested Tools/Stack: Python (Prophet, scikit-learn, TensorFlow), Inventory Planner/Netstock/SoStocked, WooCommerce order management plugins. C. Client “One-Click” Portal / App - Product search & buy, Order tracking, AI-powered chatbot support. - Should be accessible via web + mobile. Suggested Tools/Stack: React/Next.js frontend, React Native/Flutter for mobile, Node.js/Django/Laravel API backend, OpenAI API for chatbot. D. Customer Feedback & Analytics - Collect reviews, ratings, and support tickets. - Aggregate into a feedback dashboard. - Feed into AI analytics & insights layer. Suggested Tools/Stack: Power BI, Metabase, Tableau, Typeform, SurveyMonkey, or custom module. 4. Deliverables 1. Fully functional Central Inventory Management System with API connections. 2. Integrated AI Automation Layer (forecasting, pricing, promotions, order processing). 3. Client Portal/App (web and/or mobile). 4. Customer Feedback Dashboard connected to analytics. 5. Documentation (system architecture, API usage, deployment instructions). 5. Technical Skills Required - Full-stack development (React/Next.js, Node.js/Django/Laravel). - Database design & API integrations (PostgreSQL/MySQL, REST/GraphQL). - Experience with e-commerce platforms (WooCommerce, Shopify, or custom). - Knowledge of AI/ML for demand forecasting & pricing. - Familiarity with automation tools (Zapier, n8n, or custom). - Bonus: ERP or inventory management systems experience. 6. Engagement Details - Project Type: One-time build, with option for ongoing maintenance. - Timeline: 8–12 weeks (MVP version). - Budget: To be proposed by freelancer (open to fixed price or milestone-based). - Collaboration: GitHub/Bitbucket for code, Slack/Trello/Jira for task management.