Odoo implementation

Project description Odoo Community implementation for vanel.tech This project aims to deploy Odoo Community as the central ERP backbone for vanel.tech, fully integrated with the existing Magento e‑commerce stack, banking ecosystem, warehouse operations, and AI‑assisted workflows. The objective is to create a single source of truth for products, customers, orders, inventory, and finance, while keeping the system modular, scalable, and cost‑efficient. 1. Core scope and objectives Unify data and processes across sales (Magento), accounting (banks, Zoho Books), and operations (WMS/procurement). Automate flows: orders, stock updates, invoices, payments, and purchasing. Enable multi‑warehouse, multi‑country operations with clear traceability. Prepare the stack for AI‑assisted decision‑making and support. Key success criteria: Minimal manual re‑entry of data. Reliable synchronization between systems. Clean, auditable data model after migration. Clear, documented workflows for daily operations. 2. Odoo Community & Magento synchronization 2.1 Integration model Direction: Products, prices, stock levels: Odoo → Magento (Odoo as master). Orders, customers, payments: Magento → Odoo. Connector: Use a community Magento–Odoo connector (or custom API integration) to sync: Products & variants (attributes, categories, images if needed). Customer accounts and addresses. Sales orders (including taxes, shipping, payment method). Stock levels per warehouse. 2.2 Flows Order flow: Customer orders on Magento → order pushed to Odoo → Odoo creates delivery + invoice → stock updated → stock pushed back to Magento. Catalog flow: New/updated products created in Odoo → pushed to Magento with mapped attributes and categories. Error handling: Logging of failed syncs (e.g., missing SKU, tax mismatch). Daily reconciliation report (orders, stock, prices). 3. Bank synchronization & accounting 3.1 Bank feeds Objective: Automatically import bank statements into Odoo for reconciliation. Approach: Use bank statement import via: Direct bank export (CSV/MT940/OFX) or Third‑party aggregator (if available) that exports compatible files. Reconciliation: Configure bank journals in Odoo for each bank account. Define reconciliation models (matching by amount, partner, reference). Link Stripe/online payments to corresponding accounts and fees. 3.2 Stripe & payment methods Map Stripe payouts and fees into Odoo: Sales invoices from Magento → Odoo. Stripe fees booked to dedicated expense accounts. Payouts reconciled with bank statements. 4. Data migration from Zoho Books and Excel/CSV 4.1 Zoho Books migration Data to import: Chart of accounts (if relevant). Customers & suppliers. Open invoices & credit notes. Opening balances. Process: Export from Zoho Books (CSV/Excel). Clean and map fields to Odoo templates (partners, invoices, accounts). Import via Odoo’s standard import tools. Validate with trial balance and sample reconciliation. 4.2 Excel/CSV imports Data types: Products & variants (SKUs, attributes, prices, barcodes). Stock on hand per warehouse. Legacy orders (optional, for history). Method: Use Odoo’s import wizard with predefined templates. Enforce unique identifiers (SKU, internal reference). Run test imports in a staging database before production. 5. WMS and procurement extension 5.1 Warehouse management (WMS) Objective: Support multi‑location, multi‑warehouse operations (e.g., India, EU), with clear picking/packing flows. Features: Locations & routes: receiving, quality, storage, picking, packing, shipping. Picking strategies: FIFO/FEFO where relevant. Barcode/QR support for products and locations. Transfer types: receipts, internal moves, deliveries, returns. 5.2 Procurement & replenishment Reordering rules: Minimum/maximum stock levels per product and warehouse. Automatic purchase order proposals when stock falls below thresholds. Supplier management: Multiple suppliers per product with lead times and price lists. Purchase orders generated from sales forecasts or reordering rules. Extension: Add a community WMS/procurement module (or a lightweight specialized app) to enhance: Wave picking, Putaway strategies, Advanced reporting on stock movements. 6. AI agent integration 6.1 Objectives for the AI agent Operational assistant for: Answering internal questions (stock, orders, customers, invoices). Suggesting purchase quantities based on sales history and lead times. Helping support teams respond to customer queries (order status, delivery ETA, alternatives). 6.2 Integration model Data access: Read‑only access to Odoo via API (REST/RPC) for: Products, stock, orders, invoices, partners. Optional connection to Magento for customer‑facing data. Use cases: Chat‑style interface for internal users (sales, ops, purchasing). Decision support: “Which items are at risk of stockout in the next 30 days?” “What should I reorder this week for warehouse X?” Customer support helper (draft replies based on order data). 6.3 Governance & security Role‑based access: AI agent respects user permissions. Logging of AI‑driven suggestions and actions. Clear separation between recommendations and final human decisions. 7. Project phases Phase 1 – Foundation Install and configure Odoo Community (companies, chart of accounts, warehouses). Basic product and partner structure. Initial data model decisions (SKUs, attributes, categories). Phase 2 – Integrations Implement Magento connector and test full order → invoice → delivery flow. Set up bank journals and statement imports. Configure Stripe/payment mapping. Phase 3 – Data migration Migrate Zoho Books data (partners, open items, balances). Import products, stock, and key history from Excel/CSV. Validate accounting and inventory consistency. Phase 4 – WMS & procurement Configure warehouses, locations, routes, and picking flows. Implement reordering rules and supplier data. Pilot picking/packing in one warehouse, then roll out. Phase 5 – AI agent Define priority use cases. Connect AI agent to Odoo via API. Test with a small internal group, refine prompts and permissions. Phase 6 – Documentation & training SOPs for sales, purchasing, warehouse, and finance teams. Short video or screenshot‑based guides for daily tasks. Feedback loop and continuous improvement.