Dynamic Discounting Module by apexanalytix leverages advanced analytics, predictive modeling, and seamless automation to address common blockers that hinder the adoption of early payment programs. This module analyzes supplier behavior for optimal discount opportunities, communicates offers, tracks outcomes, and achieves maximum supplier adoption. The approach streamlines all communications into a single channel, covering everything from onboarding and ongoing management to procure-to-pay initiatives.

Features

• Customizable Early Payment Discount Programs: Tailor offers by supplier segment based on product or service categories, supplier size, location, and more. Options include fixed-rate discounts, sliding-scale offers, and supplier-initiated auctions.
• Advanced Predictive Analytics: Utilizes over 80 data points, including industry trends, supplier activity, payment habits, and transaction history, to predict which suppliers will accept early payment discounts and at what rate.
• Cash Discount Likelihood (CDL) Scoring: A proprietary machine-learning model that predicts the likelihood of a supplier accepting a discount, optimizing working capital efficiency.
• Automated Marketing: Delivers targeted early payment offers with personalized automated messaging through multiple channels, including email, text, and portal notifications.
• Integration with P2P Systems: Ensures seamless integration with procure-to-pay systems for streamlined operations.

Benefits

• Enhanced Supplier Engagement: Encourages more suppliers to take advantage of early payment offers, maximizing program ROI.
• Improved Cash Flow: Optimizes working capital efficiency by structuring tailored discount offers that align with financial requirements.
• Operational Efficiency: Reduces manual workloads for accounts payable teams, allowing them to focus on strategic tasks.
• Strengthened Supplier Relationships: Faster payments foster loyalty and trust, enhancing supplier relationships.
• Proactive Risk Management: Identifies and mitigates financial risks through improved discount capture rates and reduced payment term risks.