Challenge Description:

The small-value purchasing process represents a significant volume and, at the same time, requires considerable operational effort. The challenge is to develop a solution that automates the small-value purchasing process, using artificial intelligence (AI) to consult both AXIA Energy suppliers and external sources, returning the most viable options for the buyer to approve.

Additionally, human effort is also required in the follow-up stage for receiving purchase orders from suppliers. The opportunity here is to automate an interaction process with suppliers to ensure that orders have been received and will be delivered correctly.

The proposal is to create a system that integrates RPA and AI to optimize supplier selection, automating the contracting process and ensuring a high level of automatic approval, as well as monitoring order acceptance, alerts for the purchasing team, and automatic messages to suppliers requesting order status updates. The solution must be integrated with the SAP system and provide a user-friendly interface. Furthermore, it should include functionalities to highlight payment terms and verify their adherence to AXIA Energy best practices.

Solution Requirements

• Integration with SAP and other existing systems to formalize the purchasing process.
• Ability to consult with AXIA Energy suppliers and market suppliers.
• Use of AI for quote and negotiation optimization.
• Approval layer for purchases by the buyer or automatic (configurable).
• Ability to parameterize the solution throughout the process (categories, value limits, automatic approval limits, etc.).
• Monitoring of order delivery times, automatic sending of follow-up emails to suppliers, and alerts to buyers.
• User-friendly and intuitive interface for users.
• Region filter to analyze logistical viability.
• User hierarchy and permission control.
• Payment terms are indicated for verification of adherence to AXIA Energy practices.

Business Impacts:

• Greater assertiveness in low-value purchase negotiations.
• Reduction of operational costs and efficiency gains.
• Increased quality in purchasing decisions and supplier selection.
• Greater assertiveness in purchase order acceptance, ensuring quality and delivery time.
• Savings from the automation of repetitive and operational tasks.
• Reduction of manual process time and increased productivity.

Expected Benefits:

• Optimization of the purchasing process, resulting in better price conditions.
• Automation of quotes and purchases with AI.
• Automation in monitoring purchase order acceptance by suppliers.

Deadline: The proposal submission form will be available until 07/17/2025.

Questions: For any questions or additional information, please send an email with the subject line identifying the title of this challenge to innovationgrid@eletrobras.com