Eskimi’s Intelligent Creative Intelligence Platform
Eskimi’s teams had years of rich media creatives spread across campaigns, brands, and countries. Finding “that great automotive ad we did last year” meant asking around on Slack.
I initiated and led the build of an internal gallery where every creative sits alongside its performance data: spend, impressions, CTR, engagement. Filter by brand, country, format, or date, and you have a case study ready for a client call.
Then we added two AI features. Natural-language search lets anyone type “Nike video campaigns in the US last month” instead of clicking through filters. And a computer-vision model auto-tags what each creative actually shows (a phone, a burger, a flight), so a salesperson pitching an airline can pull every travel-related creative Eskimi ever made, across all brands, in one search.
The second transformative AI feature is Automated Product Categorization. Previously, understanding the specific product or service within a creative required manual review. Now, the rm-gallery employs a powerful computer vision AI to automate this process entirely. The system programmatically analyzes the visual content of each creative, intelligently identifying the subject matter—be it a smartphone, a fast-food item, a luxury vehicle, or a vacation package. This category is then automatically saved as a new, searchable data point.
This seemingly simple addition unlocks profound strategic value. It creates an entirely new dimension for discovery. A sales manager preparing for a pitch with a prospective airline client can now instantly filter and find every “airline” or “travel” related creative Eskimi has ever produced, regardless of the original brand. This provides an immediate, powerful portfolio showcasing our vertical-specific expertise. It allows our teams to move beyond brand-specific examples and demonstrate a deep understanding of a prospect’s entire industry.
Together, these AI features create a synergistic workflow that directly supports and enhances the effectiveness of our commercial teams. An account manager can now use natural language to instantly find a client’s top-performing campaign from the previous quarter, and then use the AI-generated product category tags to find similar successful creatives from other brands in the same industry to inspire the client’s next campaign. The rm-gallery is no longer just a passive repository of past work; it is an active, intelligent partner that helps our teams build stronger arguments, tell more compelling stories, and ultimately, drive business growth.
