Most AI marketing case studies come from tech-native companies. This MarTech piece is more useful because it pairs Klarna (digital-native fintech) with Mars (one of the largest CPG companies in the world) and asks: what is common to both?
Common patterns
- Centralize the boring work. Both companies built internal AI tooling for the high-volume tasks (copy, image variants, translation) rather than letting each market or brand procure tools independently.
- Localize, don't translate. AI lets both companies move from one global asset translated into 20 markets, to 20 culturally tailored variants generated from a shared brief.
- Score leads with judgement, not just rules. AI-driven lead scoring blends behavioural signals with intent inferred from unstructured sources (calls, transcripts).
The hard parts they admit to
Both companies acknowledge the hardest work is governance: brand safety reviews, legal sign-off in regulated markets, and the handoff between AI-generated drafts and human approvers. These are unglamorous problems with no quick fix.
The VietMarkAI take: the lesson for Vietnamese SMEs is that you do not need Klarna's or Mars's budget to apply the same patterns. Centralize the tooling, build a small in-house "AI ops" capability, and treat governance as a first-class workstream from day one.