Repro faced significant challenges in optimizing its content acquisition strategy. The company needed to identify top-selling titles that would be profitable while determining the best distribution model—either print-on-demand or maintaining physical inventory. This process had to scale effectively to manage millions of books, all while ensuring rapid decision-making to remain competitive. Key factors influencing these decisions included profitability, availability, and the saleability of potential acquisitions.
Nextqore implemented its Any Source Data Combiner and Data Reason Builder to transform Repro’s content acquisition process into a data-driven endeavor.
- Identify top selling content from digital sources
- Multi source detailed metadata about the content for better decisioning
- Augmenting and contextualizing the collected data
- Computing profitability and recommending distribution mode
- Analysing Competitor pricing to inform Repro’s pricing decisions
The digitalization of Repro’s content acquisition process led to a more efficient, data-driven operation, allowing acquisition teams to concentrate on the most impactful content.
- Daily Recommendations: Over 30,000 books across more than 250 categories and subcategories are recommended for acquisition every day.
- Accelerated Time to Market: The time to market for new titles has decreased from weeks to days.
- Enhanced Competitiveness: Repro has improved its market position through better sourcing and pricing strategies, resulting in increased sales opportunities.
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