The company highlighted multiple challenges in its buyer’s workflow when we first sat together for a discussion. Here are the key issues we identified:
Tracking Buyer and Product Insights
Data Overload
Our experts implemented a robust and streamlined workflow to address the company’s data management and analytics challenges. Here’s how we solved their issues:
Data Organization and Structuring
Efficient Data Transformation with SQL & ETL
Secure Data Transmission
Data Visualization in Tableau
95% Accuracy in Buyer Tracking: Successfully identified unique buyers and analyzed their purchasing behavior, providing reliable insights for customer engagement strategies.
90% Improvement in Product Management: Enabled precise tracking of purchased products and quantities, leading to optimized stock control and product planning.
85% Boost in Inventory and Forecasting Efficiency: Enhanced demand forecasting and inventory management, aligning stock levels with market demand to minimize overstock and shortages.
75% Reduction in Data Handling Time: Implemented a robust processing framework that streamlined data workflows, accelerating analysis and actionable decision-making.
70% Decrease in Data Overload: Mitigated the impact of excessive data influx, improving the organization’s ability to process and interpret data efficiently.
Role-Based Access Control: Introduced structured data access amid stakeholders:
The new data management system has greatly improved buyer tracking, inventory management, and demand forecasting, with increased accuracy in buyer tracking, improvement in inventory and forecasting, and reduced data overload. With better data security and streamlined access, the client and related stakeholders now can make more informed decisions and operate more efficiently.
Manufacturing & Industrial Engineering
Middle East
End to End Project Lifecycle Management
