©2025 Buildaz. All rights reserved.
©2025 Buildaz. All rights reserved.
Transforming businesses through innovative technology solutions and driving measurable results for our clients.
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We designed and implemented an integrated marketing automation and CRM solution strategy that delivered quick ROI while saving significant costs versus enterprise alternatives.
Transform inefficient marketing and sales processes with integrated automation solution.
Comprehensive assessment, technology selection, and phased global execution plan.
Missing or inconsistent definition of core KPIs created problems on strategic, tactical and operational level, such as OKR measurement (objectives and key results), financial forecasting and pricing.
Implement a consistent set of KPIs to avoid revenue loss and guarantee company wide alignment.
Analyzed most important metrics, defined the calculation of the metric and aligned with all areas and business units (GMV, Churn rate, contribution margins, CLTV, CAC, etc.). Finally integrated the calculation into the data pipeline with the data engineering team.
We helped the client to find most impactful opportunities in his business units with highest uplift potential via applied AI.
Define AI Use Cases, attribute ROI and design POC roadmap
We did short effective workshops in various areas and business units (operations, marketplace, logistics, pricing, private label, etc.) applying our assessment and prioritization framework. In the end we came up with a short list of 10 initiatives and implemented 3 PoCs with the engineering teams. In total we created a backlog of 43 initiatives, 22 were not AI related.
Rapid growth in data usage across multiple business units led to uncontrolled cloud data warehouse costs. Finance and operations teams lacked transparency into consumption drivers, and the absence of accountability mechanisms created persistent budget overruns.
Rapid growth in data usage across multiple business units led to uncontrolled cloud data warehouse costs. Finance and operations teams lacked transparency into consumption drivers, and the absence of accountability mechanisms created persistent budget overruns.
Establish cost transparency, identify waste, and implement governance mechanisms to align cloud spend with business value without slowing down analytics initiatives.
We implemented a modern data infrastructure solution that transformed data access speed and established trusted metrics as sources of truth for better management decisions.
Eliminate lack of visibility and trust in business KPIs with slow data access.
Modern data stack using dbt metrics and Looker Studio on Google Cloud Platform.
We extracted and enriched OPC-UA data from production lines, creating comprehensive insights across production, sales, and HR data for manufacturing optimization.
Optimize production line performance and increase visibility into manufacturing operations.
Data extraction from OPC-UA interfaces with semantic layer enrichment and comprehensive reporting.
We evolved and maintained a complex data lake while providing faster insights to sales teams, cleaning years of technical debt and implementing modern DevOps practices.
Maintain and evolve data lake while providing faster insights to sales teams.
Support team setup, collaborative roadmap, PowerBI optimization, and DORA metrics implementation.
We optimized a 45TB data lake using tiered storage strategy, maintaining query performance while dramatically reducing infrastructure costs.
Optimize large data lake costs while maintaining query performance.
Tiered storage architecture with Parquet conversion and S3 Lifecycle policies.
We unified fragmented customer data across 7 disparate systems using modern data mesh architecture, dramatically improving marketing effectiveness and reducing acquisition costs.
Unify fragmented customer data across multiple ERP and CRM systems.
Data mesh architecture with Customer 360 data model and GenAI-enabled dashboards.
We successfully migrated a complex 12TB data warehouse from Oracle Exadata to AWS Redshift, delivering significant cost savings and performance improvements.
Migrate complex data warehouse while maintaining ETL windows and performance.
AWS migration tools with distribution key redesign and validation framework.
We developed a machine learning solution that automatically standardized catalog attributes from marketplace sellers, dramatically improving product filtering and user experience.
Poor user experience due to non-standardized catalog attributes from sellers.
ML model training for automatic attribute adjustment with monitoring pipeline.
We created a comprehensive competitor database collecting real-time product and pricing data across 40 countries, providing sales intelligence for better market positioning.
Need competitor intelligence for sales optimization across global markets.
Automated competitor scraping with product matching and ERP integration.
We built a comprehensive solution combining collaborative filtering, visual search, and advanced ranking features that dramatically improved customer product discovery.
Enable optimal product discovery for large-scale fashion operations.
Collaborative filtering, visual search, and NLP/vector-based textual search with advanced ranking.
We implemented advanced attribution modeling using causal inference and attention models to significantly optimize marketing spend allocation across channels.
Improve marketing efficiency through better attribution modeling across channels.
Causal inference with hold-out tests and multi-touch attribution using attention models.
We transformed mass promotional campaigns into personalized content for 4M users using predictive modeling and advanced customer segmentation techniques.
Move from mass campaigns to personalized content for customer lifetime value optimization.
Predictive modeling using LSTM and XGBoost for target segments with multi-channel delivery.
We improved profitability through targeted promotion communication to 8M+ customers using advanced segmentation approaches and lifetime value optimization.
Optimize subsidy allocation through targeted promotion communication.
RFM analysis, lifetime value clustering, and interest-based audience segmentation.
We built a comprehensive pricing platform that balanced strategies across multiple online stores while maintaining competitiveness through intelligent rule validation.
Balance pricing strategies across multiple stores while maintaining competitiveness.
Integrated pricing rules including competitor pricing, campaign pricing, and elasticity adjustments
We implemented category-level forecasting algorithms that balanced stock availability across multiple online stores, enhancing the buying process and profitability.
Balance stock availability across stores to avoid overstock and stockout situations.
Category-level forecasting with seasonality and weather condition integration.
We developed specialized forecasting algorithms for peak sales events like Black Friday, significantly improving campaign efficiency and reducing stockout incidents.
Predict customer behavior during peak events and optimize campaigns.
Specialized forecasting algorithm with device share analysis for targeted campaigns.
We correctly sized an AutoStore warehouse automation system with 400 robots using advanced simulation, ensuring successful day-one operations of the €50M project.
Size AutoStore system correctly and create effective replenishment strategy.
AutoStore simulation with real data for optimal replenishment strategy development.
We addressed stock availability issues with optimization solution for multi-channel fulfillment challenges across pharmacy locations.
Optimize stock availability where some stores were overstocked while others had stockouts.
Data quality analysis, in-store stock forecasting optimization, and logistics optimization.
We optimized out-of-stock levels with sophisticated forecasting algorithm incorporating seasonality factors for enhanced inventory management.
Optimize out-of-stock levels to prevent revenue loss and improve buying process.
Sophisticated forecasting algorithm with historical data utilization and seasonality factor incorporation
We developed a state-of-the-art pricing tool as core offering while migrating data from legacy systems and onboarding new clients
Develop new state-of-the-art pricing tool while migrating data from legacy systems.
Data migration planning, user-friendly frontend development, and comprehensive validation rules.
We implemented a knowledge graph solution with LLM integration that connected diverse business unit data, enabling analysts to access previously unavailable information with 100% accuracy.
Improve data connectivity across business units for better insights and faster decision-making.
Knowledge graph connecting diverse business unit data with LLM integration for natural language interface.
We implemented a three-model optimization approach addressing delivery point placement, route optimization, and space utilization for comprehensive logistics improvement.
Improve delivery costs and delivery time through comprehensive optimization.
Three-model approach covering delivery points, routes, and space optimization.
We automated data extraction from hundreds of laboratories, creating a scalable pipeline for precise medical analysis using specialized LLMs and advanced processing techniques.
Extract structured data from non-standardized laboratory reports.
Specialized LLMs for automated extraction and structuring.
We developed an AI copilot for sports journalists that provides real-time access to sports data through natural language chat, enhancing content creation capabilities.
Enable journalists to access relevant sports data through conversational interface.
Real-time sports data integration with RAG implementation and LLM chat interface.
We created operational efficiencies through intelligent automation across various business units, identifying and executing the highest-impact improvement opportunities.
Create operational efficiencies through automation across diverse systems and processes.
Automation framework with business process mapping and solution design across multiple technologies.
We automated the processing of unstructured incoming communications including orders and inquiries, creating a comprehensive solution that significantly reduced manual work.
Automate processing of unstructured communications including orders and inquiries.
Intelligent message parsing with email categorization and ERP integration.
We developed a sophisticated cashback program across four business units, enabling personalized strategies and comprehensive management capabilities that significantly improved retention.
Create advanced cashback program with personalized strategies across multiple business units.
Scalable data ingestion with complex rule processing and banking system integration.
We discovered and integrated datasets across pharmacy operations, implementing AI applications that increased treatment adherence and optimized business operations.
Integrate datasets and execute AI applications to increase pharmacy revenue and treatment outcomes.
Medical app integration with OCR-NLP processing and automated treatment adherence systems.
We improved product search and recommendation engine for marketplace products by including seller service level information, enabling better cold start problem resolution for new sellers.
Improve marketplace search and recommendation by including seller service level information and solve cold start problem for new sellers.
Search traffic analysis, new seller ranking features (fill rate, delivery time), integrated boosting mechanisms for new sellers.
We created a state-of-the-art vector-based textual recommendation and search engine using BERT transformers with continuous ranking feature evolution.
Improve product search and recommendation for marketplace products with advanced NLP capabilities.
Vector-based textual search engine using BERT transformers with continuous ranking optimization including seller metrics.
As part of the modern data stack implementation, we provided comprehensive training to the Data Engineering team in Google Cloud techniques and best practices.
Build internal capability for managing modern data infrastructure and ensure knowledge transfer.
Hands-on training program during implementation with best practices documentation and mentoring.