Inventory Price Forecasting

Infopulse Inventory Price Forecasting Solution leverages cutting-edge algorithms to build a data model based on the history of your purchases. It provides accurate price forecasting, enabling the most efficient distribution of funds.

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Our Solution Helps You

Achieve Transparency

Consolidate all the data within a single platform to plan and control material resources efficiently and transparently.

Optimize Costs

Reduce budget overruns due to market price fluctuations thanks to automated price updates and accurate forecasting.

Facilitate Budget Planning

Maximize the efficiency of budget planning relying on long-term historical data, real-time updates, and cutting-edge algorithms.

Features:

A cloud-based solution powered by a carefully designed algorithm with business analytics and data management capabilities.
Extensive capabilities to search for goods and materials across the entire period of the existing purchases history as well as numerous integrated data sources.
Boosting the algorithm with two main data sets: historical data as a feed for a new algorithm and control data with the actual purchase and write-off prices.
High accuracy of price updates to allow for the significant improvement of budgeting processes.
Sophisticated architecture of the solution in the Azure cloud with improved processing time.
Seamless integration of multiple ERP sources with Azure Data Factory to collect analytical data.

Use Cases:

Offload heavy computations from your ERP system
Extend the planning horizon to include archive data and achieve better precision
Consolidate data from numerous business units and data sources to enable complete visibility
Acquire an advanced solution for data management automation and business analytics
Refine your price updates procedure by incorporating more accurate data into projections.

Benefits:

Accelerated data processing: minutes instead of hours
Improved algorithm with higher accuracy to ensure more relevant price updates
Unified enterprise data warehousing and big data analytics via integration with Azure Synapse Analytics to enable data ingestion, preparation, management, and serving
The centralized cloud data storage saves data processing time with better transparency and insights
Better control over budget overruns – up to 25%, which allows avoiding uncontrolled consumption of goods
End-to-end visibility of goods and inventory listings: stored, purchased, and demanded