Case study card:
CRM cleaning, normalization and enrichment
CRM cleaning, validation and geolocation of all data (+100k entries) to optimize postal marketing (15k detected duplicates) and improve the efficiency of workforce in-place visits.
Our model analysed errors for patterns and was able to suggest other line items as potential errors with a high degree of accuracy, also making error correction suggestions to save time (in many high-confidence cases, without need for human oversight).
SIMON holding (switches, light, sockets)