Unified fragmented identity data across legacy systems without ripping anything out
A national retailer's engineering team had been unable to connect anonymous transaction data to known customers — a problem sitting in their backlog for three years. The blocker wasn't skill, it was bandwidth. A Grafter embedded with the data team, shipped an identity graph connecting POS, loyalty, mobile, and web signals in four weeks, and left behind a skill the team could extend independently.
Years of fragmented POS, loyalty, and mobile data with no unified identity layer. Legacy systems couldn't be replaced. Problem sat in backlog for 3 years.
Grafter built a cloud-based identity graph connecting all data sources via privacy-compliant matching logic. Packaged the ingestion patterns as Enterprise Skills so the team could extend to new data sources independently.
Packaged, tested, and left behind for the internal team to run and extend independently — no ongoing dependency on CodeVine.