Project Overview:

Managing multiple eCommerce stores like BigCommerce comes with its own set of challenges, especially when it comes to keeping customer, order, and product data accurate and up to date. Our client operates two BigCommerce stores and needed an efficient way to synchronize data with their Salesforce account. Previously, they relied on manual imports to transfer customers, orders, and product data from BigCommerce stores to Salesforce. This approach was not only time-consuming but also prone to errors—leading to duplicate entries, inconsistencies, and inefficiencies in their operations.

Manually handling data across two eCommerce stores meant:

• • Customers who shopped in both stores could end up with duplicate records in Salesforce.

  • Orders needed constant manual updates, increasing the risk of incorrect order details.

  • Product data had to be manually aligned, which slowed down operations and could lead to inconsistencies.

To address these challenges, our client needed a two way-sync ensuring real-time data updates and consistency across both platforms. This integration not only eliminated manual imports but also reduced human errors and improved operational efficiency, allowing the client to focus on strategic business tasks rather than fixing data discrepancies.

Key Challenges

The client encountered several challenges by using Salesforce and BigCommerce separately, without integration. Therefore, they want to connect Salesforce with BigCommerce that enables Salesforce to access and retrieve crucial e-commerce data (Customers, Orders,Products) from two BigCommerce stores, while also synchronizing any changes made in Salesforce with BigCommerce.

Several hurdles had to be overcome before integrating this process:

1. Manual Data Imports & Errors:

The manual process of importing data between BigCommerce and Salesforce required constant oversight, increasing the risk of inaccurate records, missing data, and duplication—especially when customers existed in both stores.

Before automation, the client manually exported and imported data, which:

• • Took significant time and effort, diverting resources from strategic activities.

  • Led to duplicate records and mismatched data, creating confusion in customer profiles and order history.

  • Made real-time updates impossible, causing delays in reflecting sales and inventory changes in Salesforce.

2. Managing Customer Data Across Multiple Stores

Customers could be in one store or both, meaning any synchronization process had to:

• • Prevent duplicate customer records in Salesforce.

  • Maintain accurate customer details regardless of store affiliation.

  • Ensure that all associated orders and transactions are synced correctly.

The manual process of importing data between BigCommerce stores and Salesforce required constant oversight, increasing the risk of inaccurate records, missing data, and duplication—especially when customers existed in both stores. Without proper syncing, duplicate customer records and inconsistencies in order history could arise.

3. Ensuring Real-Time Data Accuracy:

With a growing volume of transactions, maintaining accurate customer details, orders, and product data was a challenge. The risk of data silos increased, where changes in BigCommerce weren’t reflected in Salesforce (or vice versa), leading to outdated information.Delayed updates meant customer service teams lacked the latest order details, impacting customer experience.

4. No Custom Fields Data Mapping between BigCommerce and Salesforce

BigCommerce and Salesforce have different data structures for customers, orders, and product variations. Mapping these correctly while maintaining accuracy required custom data transformations and validation to prevent data inconsistencies.

5. Handling Failed Data Sync & Error Logging

Errors in data syncing due to connectivity issues or API failures needed a structured logging and retry mechanism. A custom error log object (module) in Salesforce should be created to monitor failed transactions, facilitating quick troubleshooting and resolution processes.

6. Selective Field Updates for Orders

While orders were synchronized in both directions, only specific fields were allowed to sync from Salesforce to BigCommerce. This selective update mechanism required custom logic to prevent data overwrites.

These challenges required a custom integration approach similar to our Salesforce Integration with Bigin projects, where maintaining data consistency across platforms was crucial.

Initially, the client came to us for a Salesforce CRM Implementation. But after seeing our skills, they are now asking us to take care of this integration.

Our Solution

Recognizing the specific skills required for the project, we put a team of salesforce developers with a diverse skill set for this project.

We then meticulously planned the architectural aspects of the integration, determining how data synchronization would occur and how the data flow should be and from which platform and how to handle the error during data syncing between Salesforce and BigCommerce stores. With a solid plan in place, we have commenced the integration tasks.

To overcome these challenges, the following solutions were deployed:

1. Automated Bi-directional Data Sync between BigCommerce Stores and Salesforce :

The integration established a bi-directional sync for customers and orders, ensuring:

✅ Customers from both stores were synced into a Salesforce, distinguished by their respective organization IDs to ensure that orders from different stores were correctly associated with their respective customers.

- Recognizes customers who exist in both BigCommerce stores.

- Ensures accurate order history and customer interactions without redundancy.

- Merges duplicate records into a single Salesforce entry while maintaining store-specific data

In a nutshell, if a customer existed in both stores, they were linked under a single Salesforce account rather than creating separate, conflicting entries.

✅Orders - Synced in both directions, with selective fields allowed for updates from Salesforce to BigCommerce.

✅ Products & Variants - Synced one-way from Salesforce to BigCommerce to maintain accurate inventory and pricing information.

2. Real-Time & Scheduled Synchronization

We designed a hybrid sync mechanism that includes:

✅ Real-time updates – Using webhooks to sync changes instantly.

✅ Scheduled batch jobs – Scheduled periodic syncs to catch any missed records due to API limitations or connection issues.

3. Custom Fields Data Mapping & Validation

• • Map Salesforce fields to BigCommerce fields with precision.

  • Validate data before syncing to prevent errors.

  • Apply business logic to sync specific fields selectively.

4. Custom Error Handling & Logging

A custom error-logging mechanism was implemented within Salesforce, allowing the client to:

• • Track failed sync attempts.

  • Provide real-time visibility into data sync failures.

  • Allow quick resolution of issues by enabling retry mechanisms.

5. Secure & Scalable Integration

Security was prioritized by implementing authentication protocols and API rate limit management to ensure the system could handle high volumes of data without performance degradation.

Results and Impact

The successful implementation of the BigCommerce-Salesforce Integration resulted in:

✅ Seamless Data Synchronization – Customers, orders, and products remained updated across both platforms, reducing manual data entry and errors.

✅ Improved Order Management – Orders and payment statuses were automatically synced, ensuring accurate order processing and fulfillment.

✅ Enhanced Data Accuracy – Automated data mapping and validation reduced discrepancies between Salesforce and BigCommerce.

✅Increased Operational Efficiency – Teams could rely on real-time data updates, eliminating the need for manual synchronization.

✅ Robust Error Handling – Custom logging and retry mechanisms improved reliability, reducing the risk of data loss.

This integration has successfully bridged the gap between BigCommerce stores and Salesforce without worrying about data inconsistencies, enabling a smooth, automated data flow that not only streamlined operations but also enhanced data accuracy, reduced manual entry, and provided a single source of truth for customers and orders information-Salesforce.

This project not only demonstrated our expertise in Salesforce to handle complex integration projects but also act as a testament to our commitment to client success, our determination to overcome challenges, and our ability to deliver on their expectations.

Screenshots of Our Work :

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