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E-Commerce / Agriculture

E-Commerce Data Engineering and ERP Migration

CorrDyn extracted data from a legacy 1990s system and implemented NetSuite for a major agricultural e-commerce retailer, cutting costs by 25%.

Editorial photograph evoking e-commerce data engineering and erp migration

25%

Cost savings

Hours instead of days

Financial reporting

The Challenge

A major retailer and e-commerce company selling agricultural products across North America — serving both B2B and B2C customers — was operating on legacy systems dating back to the late 1990s. Critical business data was locked in a D3 multi-value database accessible only through a telnet interface, with many processes still dependent on paper records. The company was simultaneously undergoing a financial audit, which required reliable financial reports that the legacy systems simply couldn’t produce in a timely manner. Data was siloed across disconnected systems with no integration layer, and the lack of modern tooling meant that even basic reporting took days of manual effort.

Our Approach

CorrDyn tackled the most pressing challenge first: extracting data from the legacy D3 multi-value database. Because the system had no API and no standard export mechanisms, we developed screen-scripting automation that navigated the telnet interface to systematically extract records. With the data liberated, we designed and implemented a NetSuite ERP deployment tailored to the company’s complex B2B and B2C workflows. We built transformation processes that mapped the legacy data model — with its non-relational multi-value structure — into NetSuite’s relational schema, handling edge cases accumulated over decades of operation. To ensure accuracy, we developed automated testing that validated transformed records against the original printed reports the company had relied on for years. Throughout the migration, we produced ad-hoc financial reports that supported the ongoing audit, ensuring the business wasn’t blocked by the transition.

The Results

The ERP migration delivered a 25% reduction in operational costs by eliminating manual processes, consolidating systems, and automating workflows that had previously required paper-based coordination through systems integration. Financial reporting that once took days of manual compilation could now be generated in hours, giving leadership timely visibility into business performance. The audit was completed successfully with full data traceability from legacy records through the transformation process into NetSuite, providing auditors with the confidence they needed in the migrated data.

Frequently Asked
Questions

We are stuck on a legacy system from the 1990s with no API — is migration even possible?
Yes. This agricultural e-commerce retailer ran on a D3 multi-value database accessible only through a telnet interface. We built screen-scripting automation in Python to systematically extract records, then transformed the non-relational multi-value data into NetSuite relational schema. CorrDyn has used this pattern across multiple legacy migrations where the source system was never designed for data export.
How do you migrate to a new ERP without disrupting ongoing operations or an active audit?
We phase the work so the business is never blocked. Data extraction, transformation, and validation ran in parallel with daily operations over approximately six months. We produced financial reports throughout the transition to support the ongoing audit, and automated testing validated every transformed record against the original printed reports the company had relied on for years.
Why choose CorrDyn for an ERP migration instead of a NetSuite implementation partner?
Implementation partners configure the new system. CorrDyn handles the hard part they often skip — liberating data from legacy systems, building the transformation logic for decades of accumulated edge cases, and validating accuracy end-to-end. This engagement delivered 25% cost savings by eliminating paper-based processes, consolidating disconnected systems, and automating order processing, inventory, and financial reporting workflows.

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