Enhanced Spend Visibility for Bidding Systems

Description

Bidding Systems require spend monitoring to gain a comprehensive and up-to-date view of their available budget during bidding activities. A win or a loss notice of a bid are not instantaneous and may affect the available budget. This solution aims to provide an approximate near real-time available budget. It leverages ML feedback algorithms, by providing insights into spending patterns, costs, and market properties.

What We Achieved

1-Increased revenue of bidding systems through Improved accuracy of budget matching, by decreasing under-delivery on budget and improve in return by decrease in over-delivery.

2-Reduced cost to bidding system by flagging fraudulent and unusual bid activities

Solution Features

1-Budget Optimization: Identifies inefficiencies and cost-saving opportunities by analyzing previous spend data to infer current spending trends. It detects anomalies, outliers, and patterns that indicate excessive or unnecessary spending. By flagging these instances and providing recommendations and corrections to budget

2-Budgeting Planning: Spend estimation allows us to track our predicted against actual spend more accurately. By combining this data with AI optimization, we are able to make sure we do not overspend our budget in the absence of win or loss notice.

3-Proactive Risk Management:Automates risk awareness to take proactive measures to mitigate them. By continuously monitoring spending patterns and trends, our algorithm identifies areas where spending is deviating from expected i.e under or over spending. This early warning system allows organizations to take corrective actions promptly, minimizing the impact of potential risks.

4-Fraudulent Bid Detection: Tracking Deviation of spend estimations and previous spend help identify fraudulent activities, such as unusual/unauthorized bidding activities with suspicious patterns.