| Industry: | FMCG & Retails |
| Role: | Commercial / RTM |
| Case name: | Customer Feedback Analysis |
| Problem: | Struggles to analyze customer reactions across social media, surveys, and call center logs, leading to delayed product improvements. |
| How INTER-K AI resolves: | Aggregates feedback from multiple channels (social media, reviews, complaints), detects recurring themes in sentiment, and provides actionable insights for product teams. |
| Outcome: | Faster product adjustments, improved customer satisfaction, and data-driven product development. |







