Strabo Partners offers a powerful, point-to-point integration between BigCommerce & Microsoft Dynamics 365 Finance & Supply Chain Management. Designed specifically by teams that implement both D365 & BigCommerce, this connector provides seamless synchronization between your eCommerce store & ERP system, eliminating manual data entry, reducing errors, & enhancing operational efficiency.

Key Features

Multi-Instance & Multi-Storefront Support: The connector supports multiple BigCommerce instances & storefronts, providing flexibility for businesses with diverse eCommerce setups.
Comprehensive Customer Integration: Consolidate eCommerce customers into a single D365 customer, map customer groups to specific D365 accounts, & manage customer data seamlessly across both platforms.
Order Management: Sales orders flow effortlessly from BigCommerce to D365, with configurable triggers based on order status changes in BigCommerce. This includes support for coupons, special pricing, order cancellations, & returns.
Real-Time or Scheduled Data Sync: Keep inventory, pricing, & order statuses synchronized between BigCommerce & D365. This reduces the risk of overselling & miscommunication with customers.
Advanced Warehousing & Shipment Updates: The connector supports both basic & advanced warehousing, pushing order shipment updates, packing slips, & shipping information back to BigCommerce when orders are shipped or released to the warehouse in D365.
Pricing & Discounts: Trade agreements & customer-specific price lists are synced from D365 to BigCommerce, including support for product variants.
Payment & Returns Processing: The connector allows for automatic payment creation & settlement in D365 based on BigCommerce transactions. It also supports return orders, keeping BigCommerce & D365 up-to-date on returns & refunds.
Supports BigCommerce B2B edition: The connector is compatible with the BigCommerce B2B edition, this support ensures that B2B operations are seamlessly integrated with D365.
Detailed error logging right within D365: This feature provides detailed logs of any errors that occur during the integration process.
Ability to see actual messages being communicated between the systems: Users can view the actual messages exchanged between BigCommerce & D365.
Logging of each step during the integration process: This comprehensive logging provides a clear audit trail, helping users track the progress & status of data synchronization tasks.
Ability to reprocess messages: This feature ensures that data synchronization can be completed without manual intervention, even if issues arise.

Pain Points Addressed

Manual Data Entry & Duplication: The BigCommerce Connector automates the sync process, eliminating duplicate data entry & reducing human errors.
Inventory & Order Sync Lag: Outdated inventory levels & order statuses can lead to overselling & customer dissatisfaction. With real-time or scheduled syncing, this connector keeps both platforms in sync, ensuring accurate stock levels & order statuses.
Disconnected Systems: Without integration, businesses struggle to gain a full view of sales performance, customer activity, & fulfillment status. This connector bridges the gap, providing an integrated view across eCommerce & ERP, empowering smarter decision-making.
Delayed Cash Flow & Accounting Errors: Delays in order processing & payment data can lead to accounting errors & slow invoicing. The connector ensures timely financial data flow from BigCommerce to D365, supporting accurate billing & clean accounting.
Custom Integration Costs: Custom integrations can be expensive & difficult to maintain, especially when frequent updates to the platforms occur. Strabo's connector is a pre-built, supported solution that reduces development costs & simplifies maintenance.
Scaling Challenges: As businesses grow, manual processes & patchwork integrations become bottlenecks. The BigCommerce Connector provides a scalable foundation for handling high volumes of orders & data, ensuring reliable automation as your business expands.

Bul: Profesyonel Hizmetler

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