Case Study (Anonymized)
ERP System for Publishing House
Context and goal
Client
The client manages a wide range of publishing, production, and commercial processes, including title planning, author management, contracts, print runs, sales, finance, warehouses, and CRM activities.
Goal
Challenges (before)
Complex structure of heterogeneous processes
Numerous departments and systems that have not been centralized.
Lack of a unified catalog for products and contracts
Information was fragmented between files, systems, and personnel.
Inefficient task allocation
There is no mechanism for the automatic assessment of employee workload.
Challenges in planning production stages and resources
Projects with multiple participants and stages require clear coordination and automation.
Limited visibility on real-time financial results
Tracking revenues, expenses, and profitability has been slow and manual.
Insufficient predictability in volumes and sales
Lack of a tool for analyzing historical data and forecasts.
Solution:
Comprehensive ERP system tailored for publishing processes
Unites all key business functions on a single platform.
Centralized Product Catalog
Contains attributes, editions, authors, contracts, projects, and financial indicators for each title.
Project and Task Management Module
Visualizes stages, deadlines, engaged teams, and automatically tracks progress.
Contract and Copyright Management
Generates contracts from templates, monitors annexes, deadlines, and payments.
Financial module with support for currencies and cash registers
Full control over revenues, expenses, payments, and currency conversion.
AI functionalities for enhanced efficiency
Sales analysis, forecasting of print runs and revenues, optimal author royalties, recommendations for resource allocation, identification of high-potential clients.
Implementation
Duration
16 weeks (architecture → implementation → integrations → AI modules)
Scope
Catalog of 3000+ titles, contract and author management, CRM, finance, warehouses, integration with 4 external systems.
KPI
Defined and monitored in real-time (see "Achieved Results")
Achieved results (5 months after implementation)
+29%
Higher accuracy in print run forecasts
The AI analysis combines sales, seasonality, and genre patterns.
-35%
Faster coordination between teams
The automation of tasks reduced the time required to move through the production stages.
+18%
Better margin on titles
The optimization of print runs, costs, and contracts has led to increased profitability.
Higher employee efficiency
AI предлага оптимално разпределение на задачи според натовареност и компетенции.
-22%
Lower costs for warehouse operations
The forecasts for print runs have reduced excess inventory and obsolete stock.
-27%
Fewer errors in financial transactions and contracts
The automatic calculation of fees and payments eliminated manual inaccuracies.
+36%
Improved customer engagement (CRM)
AI identifies potential clients and suggests subsequent sales actions.
+14%
Year-over-year revenue growth
The combination of improved forecasting, automation, and CRM optimization enhanced annual revenue.
What we learned / next steps
AI supports strategic decisions, not just operational ones.
The system already identifies opportunities and risks before they even arise.
The unified architecture
All teams work in a shared environment with real-time information.
Expansion of intelligent modules
More AI scenarios for forecasting, personalized analytics, and marketing automation.
Are you ready to modernize your publishing or media-trading business?
With our intelligent ERP solutions, you will achieve clearer processes, more accurate forecasts, and higher profitability.
Contact us — we will be happy to discuss how we can support your digital transformation.