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A fashion brand partnered with Data Science Dojo to improve the efficiency and consistency of its campaign content creation process. The objective was to reduce the time and cost involved in producing marketing emails and Instagram content while maintaining visual quality across campaigns. The engagement focused on building an application that could generate campaign copy and visuals using structured inputs such as images and prompts, allowing marketing teams to move faster without disrupting existing workflows.
The brand’s marketing teams were responsible for producing a steady flow of campaign emails and social media content. Each campaign required reviewing product imagery, identifying visual themes, aligning colors, and crafting copy suitable for different platforms. Much of this work was done manually, which made the process slow and repetitive. As campaign volume increased, the time required to prepare content began to limit how quickly campaigns could be launched.
The brand needed a way to speed up content creation without compromising quality. Any solution also had to fit into existing marketing processes and allow teams to retain control over final outputs.
Data Science Dojo designed an application that transformed simple campaign inputs into ready-to-use content. Product images were used as a starting point. The system extracted image descriptions and color profiles using Microsoft Florence computer vision research, creating a consistent visual reference that could be reused across both copy and visuals. This reduced the need for manual interpretation at the early stages of campaign planning.
Using these extracted details, the application generated campaign text suitable for email and Instagram. Marketers could guide the output using prompts, allowing them to shape messaging while avoiding repetitive drafting. Multiple variations could be generated quickly, supporting faster review cycles and campaign planning.
The application also generated artistic background suggestions aligned with the visual characteristics of each product. These backgrounds enhanced product imagery and provided visual variation across campaigns without requiring additional design work. By offering several visual options per campaign, the system supported experimentation while keeping production effort low.
Once implemented, the application became part of the brand’s campaign workflow. Marketing teams were able to move from images and prompts to complete campaign materials in significantly less time. This led directly to a 60 percent reduction in content creation time and annual cost savings of $1.5 million.
Engagement metrics improved as campaigns became more visually consistent and aligned with product imagery. Customer satisfaction ratings also increased, reflecting stronger presentation and cohesion across marketing touchpoints. The solution was fully implemented and continues to support ongoing campaign production, enabling teams to focus more on strategy and planning rather than repetitive content creation tasks.
Ready to automate your organization’s processes? Let our experts at Data Science Dojo tailor an AI solution for your business. Book a call or explore more case studies.