The challenge
The company processes customer orders through BigCommerce and requires accurate customer address and order data in Sage Intacct for financial management and fulfillment coordination. Their customer address data contained inconsistencies in formatting, abbreviation conventions, and field population that caused records to fail validation or post incorrectly into Intacct. Standard integration approaches could not accommodate these data quality characteristics without custom normalization logic.
What we built
- Built a BigCommerce-to-Sage Intacct integration with a custom address normalization layer that standardizes customer address data before posting into Intacct
- Implemented address field validation and transformation rules tailored to The company's specific data patterns, handling abbreviation expansion, field standardization, and missing data defaults
- Configured order record sync from BigCommerce to Intacct with field mapping aligned to The company's chart of accounts and customer record structure
- Established data quality exception routing so records that could not be automatically normalized were flagged for manual review rather than silently failing
- Built customer deduplication logic to prevent creation of duplicate Intacct customer records when BigCommerce orders arrived from returning customers with address variations
The outcome
- Intacct customer and order record accuracy improved substantially following deployment of address normalization logic
- Manual data correction workload for the finance team reduced as the majority of address inconsistencies were resolved automatically in the integration layer
- Financial reporting in Sage Intacct became more reliable with cleaner customer data underpinning order and revenue records
- Integration architecture established a reusable normalization framework that accommodates ongoing data quality variations without code changes