6 results about "Price difference" patented technology

This invention discloses a method and system for intelligent matching of preferred products based on user profiles, specifically relating to the field of e-commerce data processing technology. The method includes obtaining user account rights transaction records, filtering transaction lines based on payment completion markers, using the receiving field as the object primary key, forming an occupancy interval based on the start and end times of rights, and attaching the redemption time and purchase price to output a successful purchase table; merging the successful purchase tables by object primary key and forming an observation sequence based on transaction time, forming a preference continuation factor based on the primary key, a demand occupancy factor based on the intersection of intervals, and a price response factor based on the price difference following the purchase result, outputting a factor graph; extracting the object primary key, occupancy interval, purchase price, and redemption feedback from successful transaction records, constructing a factor graph, and separating the preference retention state and demand extinction state using a factor hidden Markov model algorithm, and then generating a purchase suppression set and a purchase strategy sequence using a particle learning algorithm and a strategy price determination process.

The invention relates to a calculator system and method for predicting stock buying and selling strategies. The calculator system comprises a parameter input unit, a core processing unit and a result output unit. The core processing unit executes a bidirectional closed-loop prediction algorithm based on an initial price, a principal, a fractionation number, a price difference, a non-linear growth rate, a complete transaction cost and financing and coupon fusion parameters input by a user: generating a buying sequence with a declined price and a non-linearly increased number in a buying direction; the total cost including the financing cost and the accurate local selling price are synchronously calculated; and generating a selling sequence of which the price is increased progressively and the number is increased nonlinearly in the selling direction, and synchronously calculating the total income and the reinvestment potential containing the voucher fusion cost. All calculations are integrated with an accurate cost and interest model in real time, an interface supports parameter linkage modification and result instant visual updating, and through combination of a bidirectional closed-loop prediction algorithm and a nonlinear transaction model, risk boundaries of buying and selling decisions are preposed and quantified, so that dynamic controllability of transaction strategies is realized.

This invention provides a joint inventory control method for recommending the availability of high-end and low-end substitutes in a pre-positioned warehouse, relating to the field of inventory management technology. This invention takes into account the order fulfillment time and price differences between the high-end and low-end products when purchasing two different products. E-commerce platforms can more accurately predict demand, rationally allocate inventory, and achieve supply and demand balance. By optimizing order quantities, platforms can reduce the risk of inventory backlog, improve capital utilization efficiency, and thus achieve cost control and profit maximization.

Methods and apparatus are disclosed regarding an e-commerce system that promotes sales of products based on product comparisons. Some embodiments may present a marketing message that justifies a price difference between presented products based on attribute differences between the presented products.

This invention discloses an intelligent order dispatching method and system based on multi-product combination price difference identification, belonging to the field of computer technology. The method includes: acquiring multi-product order data; generating a combination price difference representation vector based on a price difference identification rule base; acquiring a processing party capability profile; performing multi-dimensional matching degree calculation and dynamically adjusting weights; selecting the optimal processing party for order dispatch; and updating the rule base and profile based on feedback data. The system includes corresponding functional modules, supporting price difference identification, capability profile construction, dynamic matching, and online learning. This invention aims to solve the problems of unreasonable order allocation, low efficiency, and reduced revenue caused by the inability of existing order dispatching mechanisms to accurately identify multi-product combination price differences. Through value-driven intelligent matching, it significantly improves order dispatching efficiency, resource utilization, and operational revenue.

The invention relates to an intelligent period and current fusion automatic purchasing system and method, and the method comprises the steps: collecting the real-time market data of a futures market and the quotation data of a spot market according to the collection frequency, and carrying out the preprocessing of the collected data; the period-present analysis module calculates key indexes, judges the market state, identifies whether an arbitrage opportunity or abnormal price fluctuation occurs, and marks the arbitrage opportunity if a period-present price difference rate stock investment threshold alpha; the intelligent decision engine generates a purchase strategy according to the market state and the enterprise demand, and performs risk inspection on the generated purchase strategy through the risk control module; and executing a purchase instruction after all the risk checks pass, monitoring the order state in real time, and finally storing the complete record of the purchase. Real-time synchronization and centralized display of futures and spot market data are realized, purchasers can acquire comprehensive market information on a single interface, the information acquisition efficiency is improved by more than 80%, and decision errors caused by information lag are effectively avoided.