At Henkel a large proportion of customer invoice rejections were dealt with manually, resulting in a complex, expensive and time-consuming invoice handling process with limited data insight.
We worked with Henkel to build them:
– A sophisticated bespoke Ocular Character Recognition (“OCR”) and data extraction tool with continuous AI improvement loop
– Augmented email view and dashboard insights to visualise data
Next-step: recommendation engine and auto-resolution of high-certainty errors
– Significantly cutting down labour-intensive processes
– Enabling new resource allocation decisions based on insights from new data captured
