Automated Price Analysis System for Vendor Negotiation
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Solution Overview
Problem
Purchasers of complex systems face difficulties in analyzing and consolidating factors influencing component prices, making it challenging to determine appropriate pricing and compare vendor price quotations effectively.
Innovation Solution
A system that processes data from various sources to compute target prices for components and products, compares these against received price quotations, and facilitates negotiations to ensure prices align with target values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If purchasers manually analyze component costs and negotiate prices with vendors, then they can maintain ongoing relationships with limited large vendors, but the process becomes time-consuming and difficult to consolidate information from distributed sources
Solution Approach 1:
The system performs preliminary actions by automatically collecting, consolidating, and analyzing pricing information from multiple distributed sources before negotiations occur. The pricing analysis module pre-computes target prices and component cost breakdowns, so that when negotiations with vendors occur, the purchaser already has consolidated intelligence ready, eliminating the time-consuming manual analysis phase while maintaining the ability to negotiate effectively with vendors.
2Measurement precision
If purchasers consolidate and analyze pricing information from multiple distributed sources, then they can determine appropriate target prices, but the complexity of collecting and processing information from various data sources increases
Solution Approach 1:
The system introduces an intermediary pricing analysis module that acts as a mediator between multiple distributed data sources and the purchaser's decision-making process. This module consolidates pricing information from various sources, processes it through standardized algorithms, and produces unified target price recommendations. The intermediary handles the complexity of data collection and processing internally, presenting simplified accurate target prices to users without exposing the underlying system complexity.
3Productivity
If the system automatically compares vendor price quotations with target prices, then negotiation efficiency improves, but the need for manual review and adjustment of pricing models increases
Solution Approach 1:
The system implements feedback mechanisms where the automated comparison of vendor quotations with target prices generates insights that feed back into refining the pricing models. The pricing analysis module continuously learns from negotiation outcomes and actual pricing data, automatically adjusting pricing assumptions and parameters. This feedback loop improves negotiation efficiency over time while the system self-manages the complexity of pricing model adjustments, reducing the need for manual intervention.
Data Source
AI summary
Systems and techniques for management and negotiation of prices of goods purchased from a vendor. Pricing information is collected by a purchaser. This information reflects factors influencing pricing of components used by a vendor and intended for use in products sold to the purchaser. The pricing information is processed to develop models that can be used to compute expected prices for components. The models and other available information are then used to compute target prices for components. When a price quotation for a product is received from a vendor, the price quotation is analyzed, and the quoted price is compared against an overall target price generated by identifying the components making up the product and adding the target prices for components and elements making up the product. If the quoted price exceeds the target price, the price quotation is rejected. Negotiations may then be undertaken to resolve the pricing differences.