Connecting a wholesale catalogue to a live storefront The challengeProduct, pricing, and stock data lived in Odoo while the storefront ran on PrestaShop. Manual exports meant customers regularly ordered items that were already out of stock.
What we builtWe built a two-way connector with scheduled and event-driven syncs, mapped B2B pricing rules per customer group, and added reconciliation reporting so the operations team could see exactly what moved and when.
Discuss a similar project OutcomeNear real-time Stock accuracy
Fewer Oversell incidents
Automated Daily catalogue updates
Selected work
Projects across platforms and industries Each project started with a specific operational problem and ended with a system the client's team can run day to day.
Rebuilding a slow multi-store checkout Consolidated custom checkout overrides, removed blocking scripts, and restructured the payment step for a multi-store retailer.
Faster checkout load Fewer abandoned carts Simpler maintenanceTalk about this work Automating production and inventory workflows Mapped bills of materials, production orders, and stock movements into a single Odoo workflow with role-based approvals.
Less manual entry Clear production visibility Consistent stock recordsTalk about this work Syncing a storefront with marketplace channels Connected product, order, and inventory data between Shopify and external marketplace channels with conflict handling.
Single source of truth Reduced listing errors Faster channel launchesTalk about this work Custom pricing and approval workflows Implemented account-specific pricing, quote requests, and multi-step purchase approvals for a B2B supplier.
Account-level pricing Structured approvals Shorter quote cyclesTalk about this work Connecting shipping carriers and order systems Built middleware for rate lookups, label generation, and tracking updates across several carrier APIs with retry handling.
Automated label creation Live tracking updates Resilient retriesTalk about this work AI & Automation eCommerceAdding an assisted product discovery layer Introduced an assistant that answers product questions using catalogue data, with guardrails and usage monitoring.
Faster product discovery Lower support volume Measured usageTalk about this work Our delivery approach
How these projects run 01 Understand the problem We review the current system, data, and workflow before proposing a solution.
02 Plan a safe path Scope, milestones, and rollback steps are agreed before development starts.
03 Build and validate Work is tested on staging against real data and real user workflows.
04 Support after launch We monitor, fix, and improve once the solution is running in production.
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