Nextuple Promise

Nextuple Promise computes Estimated Delivery Dates (EDD) for orders, crucial for enhancing customer satisfaction and conversion rates. It configures EDD display across various web pages, considering multiple items in a cart. Employing optimization strategies like weightage-based and sequence optimization, it efficiently selects nodes for order fulfillment. Core EDD computation relies on factors like master data, availability, and proximity. Nodes, carrier services, and sourcing rules further streamline the process, ensuring accurate EDD even across time zones. Nextuple Promise facilitates custom code insertion through User Exits, allowing users to enhance application functionality and meet specific business requirements. Additionally, its Chatbot feature assists users in comprehending the calculation of Estimated Delivery Dates (EDDs) by utilizing Large Language Models (LLMs) to track and analyze various order details, including sourcing steps, node exclusions, node hierarchy, and inventory status. Empower your retail journey with Nextuple Promise: Elevating sales, minimizing cancellations, and refining forecasting accuracy.

• Accurate EDD Computation: Nextuple Promise excels in computing precise Estimated Delivery Dates (EDD) for orders, a critical factor in modern retail.
• Seamless Integration Across Touchpoints: Nextuple Promise seamlessly integrates into various stages of the customer journey, including the Product List/Array page, Product Details page (PDP), Cart, and Checkout page.
• Advanced Optimization Strategies: Leveraging advanced optimization strategies such as weightage-based, sequence-based, and cost-based optimizations, the Promise Engine maximizes efficiency and effectiveness in EDD computation.

• Improve conversion rates by 5-20%: By leveraging your network data you can create a specific promise date that will increase confidence in purchases. Making your promise specific will likely make it faster by at least 2 days driving large gains in conversion. We’ve delivered it to a large luxury department store retailer.
  
• Improve margin by 3-5% with demand shaping promising controls: A fast promise isn’t always the right promise. By using channel sales goals, conversion sensitivity data and inventory velocity you can use promising to drive BOPIS or influence offline sales.
  
• Reduce cost per package by 3-10%: Your promise engine can also drive down shipping costs by promising against the best carrier option or dynamically changing shipping costs based on the expected sourcing decision.
  
• Drive inventory accuracy cancels down by 50%: When you make a specific delivery date promise and have the insights to monitor your performance against it you’ll drive down inquiries on order status and improve the customer experience.