Marketing calculation optimal discount management system and implementation method thereof

Abstract

The invention discloses a marketing calculation optimal discount management system and an implementation method thereof, and the system comprises a query module, a filtering module, a packaging module, a calculation module, a marketing activity management module, a customer analysis module and a payment optimization module, and the query module is used for obtaining order, member, account and coupon information. And the filtering module is used for matching enjoyable unit customer refueling card discounts and activity id sets according to member codes, payment modes, refueling card numbers, organization codes, platform channel codes, commodity codes, category codes and payable amounts. The intelligent marketing system can analyze massive user data and identify behavior patterns, interests, preferences and demand changes of individual consumers by using big data and machine learning technologies, so that highly personalized marketing information pushing is realized, the user experience is improved, and the pertinence and conversion rate of marketing activities are also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of marketing calculation preferential management systems, and in particular to a management system for marketing calculation optimal preferential treatment and an implementation method thereof. Background Art

[0002] Marketing computing discount management system is usually called discount management system or promotion management system. It is a system used to plan, manage and optimize marketing activities and discount strategies. It can help enterprises effectively implement various promotional activities and track and analyze their effects in real time.

[0003] With the rapid development of information technology, the digital transformation of the retail industry is advancing at an unprecedented speed. As a key area of ​​the service industry, gas stations are facing the ever-changing habits and behaviors of modern consumers, and customer needs are becoming increasingly personalized. How to effectively manage marketing activities, accurately locate customers, and optimize strategies has become crucial. However, the existing discount management system still exposes the following problems:

[0004] 1. Efficiency bottleneck of activity management: Traditional activity design and configuration methods are too dependent on manual work, with cumbersome and complicated processes, long approval chains, slow market response, and insufficient agility in activity adjustment. Activity planning is difficult to quickly adapt to rapidly changing market demands and cannot respond to market dynamic adjustments in real time;

[0005] 2. Ambiguity in customer positioning: Customer segmentation is not precise and lacks depth, which leads to limited understanding of customers and difficulty in capturing personalized needs, resulting in generalized marketing strategies, lack of targeting in preferential plans, and difficulty in touching the hearts of consumers;

[0006] 3. Complexity of promotion calculation: There are problems with discount superposition and mutual exclusion, numerous activity rules, cumbersome and complicated calculation process, and it is difficult for manual operation to quickly determine the best combination, which affects customer experience, reduces satisfaction, and causes experience discount;

[0007] 4. Lag in tracking feedback: Activity execution and evaluation are not immediate, and there is a lack of a quick feedback mechanism, making it impossible to quickly understand the effectiveness of activities. Strategy optimization is delayed, affecting marketing results, and long-term strategies cannot keep up with the pace of new markets.

[0008] To this end, a management system for marketing and calculating the best discount and an implementation method thereof are provided. Summary of the invention

[0009] The purpose of the present invention is to provide a management system for marketing calculation of optimal discounts and its implementation method, which has the advantages of realizing automated, intelligent and data-based management of marketing activities, improving efficiency, improving customer experience, optimizing traditional marketing activity execution and decision-making, bringing more efficient marketing strategy management to gas stations, and solving the problems of backward technology of existing discount management systems, ambiguity in customer positioning and complex promotion calculation methods.

[0010] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a management system for marketing and calculating the best discount, comprising a query module, a filtering module, a packaging module, a calculation module, a marketing activity management module, a customer analysis module and a payment optimization module, wherein the query module is used to obtain order, member, account and coupon information, the filtering module is used to match the available corporate customer gas card discounts and activity ID sets according to the member code, payment method, gas card number, organization code, platform channel code, commodity code, category code and amount payable, and the packaging module is used to package the filtered activity information, coupon configuration information and mutually exclusive rules Send, the calculation module is used to judge that the mutually exclusive rules cannot be empty, single product activity calculation, coupon calculation, whole order activity calculation and finally return the optimal result, the marketing activity management module is used to create, approve, execute, monitor and analyze, the customer analysis module uses data-driven, through big data analysis of customer purchase and consumption data, predict trends and guide activity design, the payment optimization module is used to integrate the payment link and the payment platform linkage, and calculate the discount in real time. The calculation module includes calculating single product level discounts, calculating order level discounts, calculating customer coin deduction discounts, calculating e-voucher deduction discounts, calculating oil coin deduction discounts and payment discount calculations.

[0011] Preferably, the calculation process of calculating the item-level discount is as follows:

[0012] (1) Match product-level promotional activities based on the member code, organization code, platform channel code, product code, and category code. Product promotional activities include product-level and order-level promotional activities. The product-level promotional activities include all product promotional activities except for full-order discounts.

[0013] (2) Product-level promotions cannot be superimposed on each other. If the same product matches multiple activity rules, multiple discount plans will be calculated according to each activity rule.

[0014] (3) The program parameters include code, number of discounted items, discount type, discounted unit price, and discount apportionment amount;

[0015] (4) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0016] Preferably, the calculation process of the order-level discount is as follows:

[0017] (1) Match order-level promotional activities based on member code, organization code, platform channel code, and category code. The order level only includes promotional activities that reduce the amount of orders that exceed the limit;

[0018] (2) Order-level discounts cannot be combined with other order-level discounts, but item-level discounts can be combined with order-level discounts. In an existing discount plan, if the same product and the same number of items hit both the item-level and order-level discount rules, and the discounts can be combined, the discounts will be combined and calculated based on the previous discount plan. If the discounts cannot be combined, a new discount plan will be generated.

[0019] (3) If only the products and quantities that match the order-level discount rules are included, the discount will be calculated in the original price plan;

[0020] (4) The program parameters include product code, number of discounted items, discount type, discounted unit price, and discount allocation amount;

[0021] (5) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0022] Preferably, the calculation process of the discount deduction of Haoke coins is as follows:

[0023] (1) Based on the member code, product code and category code, check the available Haoke coins in the member account, as well as the Haoke coin deduction ratio, deductible products and categories, and the deduction limit;

[0024] (2) The discount of Haoke coins can be combined with the promotional discounts at the product level and category level. In the existing discount plan, if the same product and the same number of items meet the above-mentioned discount rules and the discount rules of Haoke coins at the same time, and the discounts can be combined, then the discount will be calculated based on the discount plan and the upper limit of the Haoke coins. If the discounts cannot be combined, a new discount plan will be generated;

[0025] (3) For products and quantities that only meet the deduction rules of Haoke coins, the discount will be calculated according to the deduction limit in the original price plan;

[0026] (4) The case parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount and the number of Haoke coins deducted;

[0027] (5) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0028] Preferably, the calculation process of calculating the electronic coupon deduction discount is:

[0029] (1) Based on the member code, product code and category code, query the available e-vouchers in the member account and match the e-voucher usage rules, including available product categories, available organizations and available platform channels;

[0030] (2) If the input parameter contains a specified electronic coupon group, the electronic coupon group is matched;

[0031] (3) Electronic coupon discounts can be combined with product-level and category-level promotions and Haoke Coin discounts. In an existing discount plan, if the same product and the same number of items meet both the above-mentioned discount rules and the electronic coupon discount rules, and both discounts can be combined, the discount will be calculated based on the discount plan; if the discounts cannot be combined, a new discount plan will be generated;

[0032] (4) For products and quantities that only meet the e-voucher discount rules, the discount will be calculated based on the face value in the original price plan;

[0033] (5) The program parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount and coupon code;

[0034] (6) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0035] Preferably, the calculation process of calculating the oil coin deduction discount is:

[0036] (1) Based on the member code, product code and category code, query the available oil coins in the member account and match the oil coin usage rules, including the deduction ratio, available product categories, daily / single transaction and frequency / quantity limits;

[0037] (2) The oil coupon deduction can be combined with any other discounts;

[0038] (3) The program parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount, and number of oil coins deducted;

[0039] (4) Summarize multiple discount plans, mark the discount plan with the lowest total price as the optimal output, and output all available coupons and gifts for the current order.

[0040] Preferably, the payment discount calculation process is:

[0041] (1) Match the available corporate customer gas card discounts and individual customer payment promotions based on the membership code, payment method, gas card number, organization code, platform channel code, product code, category code, and amount payable;

[0042] (2) If the same payment method matches multiple payment promotions, the most favorable promotion is selected after traversal and calculation;

[0043] (3) Payment offers can be combined with any other offer type and are not subject to marketing of already effective offers;

[0044] (4) After all the items participating in the discount in the order are calculated, the discount allocation is calculated based on the price ratio between the items and the result is output;

[0045] (5) If the payment method is a third-party payment type, the discount amount will be calculated only based on the internal apportionment ratio, and the third-party apportionment portion will be used to realize the discount when the payment center transfers the third-party payment.

[0046] Preferably, the implementation method comprises the following steps:

[0047] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0048] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0049] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0050] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0051] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0052] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0053] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1. By utilizing big data and machine learning technologies, the present invention enables the intelligent marketing system to analyze massive amounts of user data, identify individual consumers' behavior patterns, interest preferences, and demand changes, thereby achieving highly personalized marketing information push, which not only improves the user experience, but also improves the targeting and conversion rate of marketing activities. Through in-depth analysis of customer behavior, preferences, and purchase history, marketing calculations can support more accurate customer segmentation, thereby achieving personalized marketing strategies. This personalization not only improves the user experience, but also increases the efficiency and effectiveness of marketing activities.

[0056] 2. The present invention queries available product promotions and member benefits based on input information, calculates preferential plans through five steps of single-item promotion, order-level promotion, hospitality coin deduction, electronic voucher deduction, and oil coin deduction combined with preferential superposition rules, and returns the optimal and all available coupons. By carefully calculating the cost-effectiveness of each preferential offer, the system helps enterprises achieve the maximum marketing effect under budget constraints, avoids excessive discounts and waste of resources, and enhances customer experience. Personalized preferential offers not only improve customer satisfaction, but also enhance customer loyalty. The repurchase rate is increased through preferential offers, so that the system can integrate multiple online and offline marketing channels to ensure the consistency of preferential strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 The calculation process flow chart of the preferential scheme of the present invention is

[0058] Figure 2 The preferential price calculation process flow chart of the present invention is

[0059] Figure 3 This is a flow chart of the discount calculation for scanning coupon code after generating an order in the present invention

[0060] Figure 4 This is an explanatory diagram of the product attribute structure of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Embodiment 1:

[0063] The present invention provides a technical solution, a management system for marketing and calculating the best discount, comprising a query module, a filtering module, a packaging module, a calculation module, a marketing activity management module, a customer analysis module and a payment optimization module, wherein the query module is used to obtain order, member, account and coupon information, the filtering module is used to match the available unit customer gas card discount and activity ID set according to the member code, payment method, gas card number, organization code, platform channel code, commodity code, category code and payable amount, the packaging module is used to package and send the filtered activity information, coupon configuration information and mutually exclusive rules, and the The calculation module is used to determine that mutually exclusive rules cannot be empty, calculate single product activities, calculate coupons, calculate whole order activities and finally return the optimal result. The marketing activity management module is used for creation, approval, execution, monitoring and analysis. The customer analysis module uses data-driven analysis to analyze customer purchase and consumption data through big data, predict trends and guide activity design. The payment optimization module is used to integrate the payment link with the payment platform and calculate discounts in real time. The calculation module includes calculating single product-level discounts, calculating order-level full-reduction discounts, calculating customer coin deduction discounts, calculating e-voucher deduction discounts, calculating oil coin deduction discounts and payment discount calculations.

[0064] The implementation method includes the following steps:

[0065] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0066] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0067] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0068] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0069] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0070] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0071] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0072] Embodiment 2:

[0073] In the first embodiment, the following process is added:

[0074] The calculation process of the item-level discount is as follows:

[0075] (1) Match product-level promotional activities based on the member code, organization code, platform channel code, product code, and category code. Product promotional activities include product-level and order-level promotional activities. The product-level promotional activities include all product promotional activities except for full-order discounts.

[0076] (2) Product-level promotions cannot be superimposed on each other. If the same product matches multiple activity rules, multiple discount plans will be calculated according to each activity rule.

[0077] (3) The program parameters include code, number of discounted items, discount type, discounted unit price, and discount apportionment amount;

[0078] (4) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0079] The implementation method includes the following steps:

[0080] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0081] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0082] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0083] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0084] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0085] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0086] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0087] Embodiment three:

[0088] In the second embodiment, the following process is added:

[0089] The calculation process of the order-level discount is as follows:

[0090] (1) Match order-level promotional activities based on member code, organization code, platform channel code, and category code. The order level only includes promotional activities that reduce the amount of orders that exceed the limit;

[0091] (2) Order-level discounts cannot be combined with other order-level discounts, but item-level discounts can be combined with order-level discounts. In an existing discount plan, if the same product and the same number of items hit both the item-level and order-level discount rules, and the discounts can be combined, the discounts will be combined and calculated based on the previous discount plan. If the discounts cannot be combined, a new discount plan will be generated.

[0092] (3) If only the products and quantities that match the order-level discount rules are included, the discount will be calculated in the original price plan;

[0093] (4) The program parameters include product code, number of discounted items, discount type, discounted unit price, and discount allocation amount;

[0094] (5) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0095] The implementation method includes the following steps:

[0096] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0097] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0098] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0099] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0100] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0101] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0102] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0103] Embodiment 4:

[0104] In the third embodiment, the following process is added:

[0105] The calculation process for calculating the discount of Haoke coins is as follows:

[0106] (1) Based on the member code, product code and category code, check the available Haoke coins in the member account, as well as the Haoke coin deduction ratio, deductible products and categories, and the deduction limit;

[0107] (2) The discount of Haoke coins can be combined with the promotional discounts at the product level and category level. In the existing discount plan, if the same product and the same number of items meet the above-mentioned discount rules and the discount rules of Haoke coins at the same time, and the discounts can be combined, then the discount will be calculated based on the discount plan and the upper limit of the Haoke coins. If the discounts cannot be combined, a new discount plan will be generated;

[0108] (3) For products and quantities that only meet the deduction rules of Haoke coins, the discount will be calculated according to the deduction limit in the original price plan;

[0109] (4) The case parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount and the number of Haoke coins deducted;

[0110] (5) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0111] The implementation method includes the following steps:

[0112] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0113] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0114] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0115] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0116] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0117] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0118] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0119] Embodiment five:

[0120] In the fourth embodiment, the following process is added:

[0121] The calculation process for calculating the electronic coupon deduction discount is as follows:

[0122] (1) Based on the member code, product code and category code, query the available e-vouchers in the member account and match the e-voucher usage rules, including available product categories, available organizations and available platform channels;

[0123] (2) If the input parameter contains a specified electronic coupon group, the electronic coupon group is matched;

[0124] (3) Electronic coupon discounts can be combined with product-level and category-level promotions and Haoke Coin discounts. In an existing discount plan, if the same product and the same number of items meet both the above-mentioned discount rules and the electronic coupon discount rules, and both discounts can be combined, the discount will be calculated based on the discount plan; if the discounts cannot be combined, a new discount plan will be generated;

[0125] (4) For products and quantities that only meet the e-voucher discount rules, the discount will be calculated based on the face value in the original price plan;

[0126] (5) The program parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount and coupon code;

[0127] (6) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

[0128] The implementation method includes the following steps:

[0129] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0130] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0131] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0132] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0133] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0134] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0135] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0136] Embodiment six:

[0137] In the fifth embodiment, the following process is added:

[0138] The calculation process of the oil coin deduction discount is as follows:

[0139] (1) Based on the member code, product code and category code, query the available oil coins in the member account and match the oil coin usage rules, including the deduction ratio, available product categories, daily / single transaction and frequency / quantity limits;

[0140] (2) The oil coupon deduction can be combined with any other discounts;

[0141] (3) The program parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount, and number of oil coins deducted;

[0142] (4) Summarize multiple discount plans, mark the discount plan with the lowest total price as the optimal output, and output all available coupons and gifts for the current order.

[0143] The implementation method includes the following steps:

[0144] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0145] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0146] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0147] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0148] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0149] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0150] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0151] Embodiment seven:

[0152] In the sixth embodiment, the following process is added:

[0153] The payment discount calculation process is as follows:

[0154] (1) Match the available corporate customer gas card discounts and individual customer payment promotions based on the membership code, payment method, gas card number, organization code, platform channel code, product code, category code, and amount payable;

[0155] (2) If the same payment method matches multiple payment promotions, the most favorable promotion is selected after traversal and calculation;

[0156] (3) Payment offers can be combined with any other offer type and are not subject to marketing of already effective offers;

[0157] (4) After all the items participating in the discount in the order are calculated, the discount allocation is calculated based on the price ratio between the items and the result is output;

[0158] (5) If the payment method is a third-party payment type, the discount amount will be calculated only based on the internal apportionment ratio, and the third-party apportionment portion will be used to realize the discount when the payment center transfers the third-party payment.

[0159] The implementation method includes the following steps:

[0160] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0161] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0162] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0163] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0164] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0165] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0166] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0167] An implementation method of a marketing calculation optimal discount management system, the implementation method comprising the following steps:

[0168] A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments;

[0169] B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions;

[0170] C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies;

[0171] D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategies, and through multi-channel execution, the experience and interaction are improved, so that strategies are coordinated and customer experience is consistent;

[0172] F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution;

[0173] G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update;

[0174] The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

[0175] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0176] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A management system for calculating the best marketing offer, comprising a query module, a filtering module, a packaging module, a calculation module, a marketing activity management module, a customer analysis module and a payment optimization module, characterized in that: The query module is used to obtain order, member, account and coupon information. The filtering module is used to match the available corporate customer gas card discounts and activity ID sets according to the member code, payment method, gas card number, organization code, platform channel code, commodity code, category code and payable amount. The encapsulation module is used to encapsulate and send the filtered activity information, coupon configuration information and mutually exclusive rules. The calculation module is used to determine that the mutually exclusive rules cannot be empty, calculate single product activities, calculate coupons, calculate whole order activities and finally return the optimal result. The marketing activity management module is used to create, approve, execute, monitor and analyze. The customer analysis module uses data-driven to analyze customer purchase and consumption data through big data, predict trends and guide activity design. The payment optimization module is used to integrate the payment link with the payment platform and calculate the discount in real time. The calculation module includes calculating single product-level discounts, calculating order-level full-reduction discounts, calculating customer coin deduction discounts, calculating electronic coupon deduction discounts, calculating oil coin deduction discounts and payment discount calculations.

2. A management system for calculating the best marketing offer according to claim 1, characterized in that: The calculation process of the item-level discount is as follows: (1) Match product-level promotional activities based on the member code, organization code, platform channel code, product code, and category code. Product promotional activities include product-level and order-level promotional activities. The product-level promotional activities include all product promotional activities except for full-order discounts. (2) Product-level promotions cannot be superimposed on each other. If the same product matches multiple activity rules, multiple discount plans will be calculated according to each activity rule. (3) The program parameters include code, number of discounted items, discount type, discounted unit price, and discount apportionment amount; (4) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

3. A management system for calculating the best marketing offer according to claim 1, characterized in that: The calculation process of the order-level discount is as follows: (1) Match order-level promotional activities based on member code, organization code, platform channel code, and category code. The order level only includes promotional activities that reduce the amount of orders that exceed the limit; (2) Order-level discounts cannot be combined with other order-level discounts, but item-level discounts can be combined with order-level discounts. In an existing discount plan, if the same product and the same number of items hit both the item-level and order-level discount rules, and the discounts can be combined, the discounts will be combined and calculated based on the previous discount plan. If the discounts cannot be combined, a new discount plan will be generated. (3) If only the products and quantities that match the order-level discount rules are included, the discount will be calculated in the original price plan; (4) The program parameters include product code, number of discounted items, discount type, discounted unit price, and discount allocation amount; (5) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

4. A management system for calculating the best marketing offer according to claim 1, characterized in that: The calculation process for calculating the discount of Haoke coins is as follows: (1) Based on the member code, product code and category code, check the available Haoke coins in the member account, as well as the Haoke coin deduction ratio, deductible products and categories, and the deduction limit; (2) The discount of Haoke coins can be combined with the promotional discounts at the product level and category level. In the existing discount plan, if the same product and the same number of items meet the above-mentioned discount rules and the discount rules of Haoke coins at the same time, and the discounts can be combined, then the discount will be calculated based on the discount plan and the upper limit of the Haoke coins. If the discounts cannot be combined, a new discount plan will be generated; (3) For products and quantities that only meet the deduction rules of Haoke coins, the discount will be calculated according to the deduction limit in the original price plan; (4) The case parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount and the number of Haoke coins deducted; (5) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

5. A management system for calculating the best marketing offer according to claim 1, characterized in that: The calculation process for calculating the electronic coupon deduction discount is as follows: (1) Based on the member code, product code and category code, query the available e-vouchers in the member account and match the e-voucher usage rules, including available product categories, available organizations and available platform channels; (2) If the input parameter contains a specified electronic coupon group, the electronic coupon group is matched; (3) Electronic coupon discounts can be combined with product-level and category-level promotions and Haoke Coin discounts. In an existing discount plan, if the same product and the same number of items meet both the above-mentioned discount rules and the electronic coupon discount rules, and both discounts can be combined, the discount will be calculated based on the discount plan; if the discounts cannot be combined, a new discount plan will be generated; (4) For products and quantities that only meet the e-voucher discount rules, the discount will be calculated based on the face value in the original price plan; (5) The program parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount and coupon code; (6) The products, quantity and original price that do not meet the discount rules are also output to the next step as one of the solutions.

6. A management system for calculating the best marketing offer according to claim 1, characterized in that: The calculation process of the oil coin deduction discount is as follows: (1) Based on the member code, product code and category code, query the available oil coins in the member account and match the oil coin usage rules, including the deduction ratio, available product categories, daily / single transaction and frequency / quantity limits; (2) The oil coupon deduction can be combined with any other discounts; (3) The program parameters include product code, number of discounted items, discount type, unit price after discount, discount allocation amount, and number of oil coins deducted; (4) Summarize multiple discount plans, mark the discount plan with the lowest total price as the optimal output, and output all available coupons and gifts for the current order.

7. A management system for calculating the best marketing offer according to claim 1, characterized in that: The payment discount calculation process is as follows: (1) Match the available corporate customer gas card discounts and individual customer payment promotions based on the membership code, payment method, gas card number, organization code, platform channel code, product code, category code, and amount payable; (2) If the same payment method matches multiple payment promotions, the most favorable promotion is selected after traversal and calculation; (3) Payment offers can be combined with any other offer type and are not subject to marketing of already effective offers; (4) After all the items participating in the discount in the order are calculated, the discount allocation is calculated based on the price ratio between the items and the result is output; (5) If the payment method is a third-party payment type, the discount amount will be calculated only based on the internal apportionment ratio, and the third-party apportionment portion will be used to realize the discount when the payment center transfers the third-party payment.

8. The implementation method of the marketing calculation optimal preferential management system according to any one of claims 1 to 7, characterized in that: The implementation method includes the following steps: A. First, intelligent activity design and approval, through automated configuration, the system integrates intelligent design tools, based on templates, quickly configure activities, automatic approval process, user-friendly activity approval, rapid response to market changes, and rapid adjustments; B. Based on accurate customer positioning and strategy formulation, AI algorithms are used to deeply analyze customer behavior and preferences, accurately profile customers, segment the market, formulate personalized strategies, accurately deliver products, improve results, and increase conversions; C. Through discount calculation and algorithm optimization, we use optimization engines and intelligent algorithms to handle discount superposition, automatically calculate the best combination, consider rules, avoid conflicts, improve experience, ensure the best discount, and automatically adjust strategies; D. Based on feedback and optimization, through real-time evaluation, real-time feedback and real-time feedback system, quickly evaluate the effect of activities, optimize strategies and make adjustments, so as to improve strategies, adapt to market dynamics and improve results; E. Based on channel management, unification, multi-channel and integration, online and offline are integrated to achieve unified management and consistent strategy, and through multi-channel execution, the experience and interaction are enhanced, so that the strategy is coordinated and the customer experience is consistent; F. Exception handling, through automatic processing, monitoring and built-in monitoring, automatic exception handling is achieved, providing system stability and ensuring system smoothness, thereby ensuring execution; G. Dynamic adjustment, through updating, intelligent real-time and intelligent market changes, to achieve intelligent strategy adjustment and real-time strategy update; The entire work process is highly integrated, data-driven, intelligent, algorithmically optimized and automated, and has a real-time feedback mechanism, making event design and customer strategies more efficient, optimizing the experience, and improving the flexibility of marketing management, adapting to market dynamics, and enhancing the competitiveness of gas stations.

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