Intelligent Offer Validation for Single-Round Price Negotiation
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Solution Overview
Problem
Existing e-commerce systems face inefficiencies in price negotiation between customers and merchants, leading to wasted transactions and network traffic due to multiple rounds of negotiation, which are computationally burdensome and resource-intensive.
Innovation Solution
Implementing a system that allows for a single intelligent offer from a customer, validated using a combination of rules-based and machine learning (ML) approaches, reducing the need for multiple negotiations and computational burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple rounds of price negotiation are conducted between customers and merchants, then the price matching between customer willingness and merchant offering can be improved, but network traffic and computational resources are excessively consumed
Solution Approach 1:
The system performs preliminary actions by having customers indicate their price willingness range before the actual purchase transaction. The merchant system pre-processes these offers against inventory and pricing rules to determine acceptance or rejection in advance, eliminating the need for multiple back-and-forth negotiation rounds and reducing network traffic and computational overhead.
2Loss of energy
If a single offer validation system is implemented, then network traffic and computational burden are reduced, but the ability to negotiate optimal price may be limited
Solution Approach 1:
The system changes parameters by allowing customers to specify a price range rather than a single fixed price. The merchant system evaluates offers within this range against predefined pricing rules, inventory levels, and profitability thresholds, providing flexible price acceptance decisions without requiring multiple negotiation interactions.
3Reliability
If traditional defined price offerings are used, then merchant pricing control is maintained, but transactions are wasted when customer willingness does not match the defined price
Solution Approach 1:
The system introduces feedback mechanisms where customer price willingness information is collected and fed back to the merchant system. The merchant evaluates this feedback against their pricing rules and inventory status to make informed decisions about offer acceptance, improving transaction completion rates while maintaining pricing control through rule-based automation.
Data Source
AI summary
The present disclosure describes systems and methods that provide intelligent offers for products. The method includes enabling intelligent offers for a target product, identifying one or more intelligent offer rules for the target product, receiving, from a user over a communication network, an offer for the target product, and validating the offer for the target product using the one or more intelligent offer rules, which includes determining to accept the offer for the target product based on comparing the intelligent offer rules to one or more characteristics of the offer and accepting the offer. The offer for the target product is the sole offer from the user for the target product. Determining to accept the offer for the target product is based on the sole offer from the user for the target product.