TATRAN is a Slovak book publishing house with a growing title portfolio that had no structured reporting infrastructure at the start of the engagement.
Sales were aggregated manually in spreadsheets at month-end, accounting served VAT compliance rather than management decision-making, inventory levels were not regularly monitored, and the profitability of individual titles was unknown. Reprint and pricing decisions were made on intuition rather than data.
Onetribe integrated with the Superfaktura.sk invoicing system via API, built automated real-time sales extraction with detailed breakdowns by distributor, genre, author, and title, linked sales data to inventory levels for proactive reprint tracking, and created a methodology for measuring title-level profitability across author, genre, and distribution channel. As one of the first pilot clients for the Onetribe AI layer, TATRAN also gained AI-powered market insights about sales trends and the Slovak book market — analyses controlled and validated by experienced financial professionals. The full engagement ran in phases across 4 to 5 months.
Results: transition from monthly manual aggregations to daily live sales view; systematic data-driven approach to reprint decisions replacing estimates; clear profitability visibility enabling data-based pricing strategies; and early access to AI analytics capabilities the firm could not have implemented independently.
Context
- Slovak book publishing house with growing portfolio of titles
- No structured reporting system in place at engagement start
- Used Superfaktura.sk invoicing system
- Book sales manually aggregated in spreadsheets at month-end
- Accounting used primarily for VAT purposes
- Inventory levels not regularly monitored
- Individual title profitability not analysed
- Became early pilot client for Onetribe AI in 2025
Challenge
- Operations without structured reporting infrastructure as portfolio grew
- Manual monthly aggregation of sales data in spreadsheets
- Accounting served tax compliance but not management decision-making
- Inventory levels not systematically tracked
- Profitability of individual titles unknown
- Growing title portfolio increased need for real-time visibility into sales, inventory, and profitability
- No systematic approach to reprint decisions
- Pricing strategies not based on profitability data
What Was Implemented
- Integration with Superfaktura.sk invoicing system via API
- Automated real-time extraction of sales data
- Detailed sales analysis by distributor, genre, author, and individual title
- Linkage of sales data with inventory levels
- Proactive tracking of sales trends and inventory levels
- Recommendations for reprint needs when inventory levels decline
- Integration of sales reporting from Superfaktura with manual cost calculations
- Methodology creation for tracking and evaluating title profitability
- Profitability analysis by author, genre, and distribution channel
- AI-powered market insights as early Onetribe AI pilot client
- Generation of insights about sales trends and Slovak book market
- AI analyses controlled and validated by experienced financial professionals
- Phased implementation over 4-5 months: Discovery, Live sales, Inventory, Profitability, AI layer
Outcomes
- Transition from monthly manual aggregations to daily view of current sales
- Systematic data-driven approach to reprint decisions replacing estimates
- Clear profitability view across portfolio enabling data-based pricing strategies
- First-time visibility into what sells, where, to whom, and with what margin
- Reprint and pricing decisions based on current data rather than intuition
- Infrastructure prepared for growth where adding new distribution channels does not require system rebuild
- Access to advanced AI technologies within less than one month that firm could not implement independently
- Expertise transfer through automated insights
- Publisher transformation from no reporting to data-driven management within several months