När Hallon och Billogram inledde sitt gemensamma experiment var ambitionen hög. Genom att kombinera AI med datadriven analys ville man undersöka hur betalningspåminnelser kunde utformas för att minska skuldsättning och öka kundnöjdhet.
Så går operatörens arbete mot nollvisionen: ”Vår ambition ligger fast”
branschen För drygt två år sedan skrev Techtidningen om Hallon och Billograms gemensamma AI-arbete. Målet då var att undersöka hur AI kunde användas för att öka kundnöjdheten och minska deras skuldsättning. Techtidningen har pratat med Solomon Seyoum, Credit and Collection Manager på Hallon, för att se hur arbetet har gått för operatören.

Solomon Seyoum / Foto: Pressbild & Adobe Stock
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Hypotesen då var att majoriteten av alla inkassoärenden var ”onödiga” och kunde undvikas. Detta visade sig stämma.
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
