CROSS-REFERENCE TO RELATED APPLICATIONS AND PRIORITY
[001] The present application does not claim priority from any patent application.
TECHNICAL FIELD
[002] The present disclosure in general relates to the field of data processing. More particularly, the present invention relates to a system and method to process data for orchestration of services among partners and original equipment manufacturers.
BACKGROUND
[003] In the Manufacturing Industry, Original Equipment Manufacturers (OEMs) are the central focus of any analysis. OEMs deal with partners for various manufacturing activities. For procurement, OEMs interact with strategic and transactional suppliers. For manufacturing OEMs interact with a contract manufacturer. For logistics, OEMs interact with 3PL and 4PL. For planning, interaction takes place between OEM and all sorts of partners. OEMs also interact with all sorts of service providers like ISV, consulting partners etc. These interactions are based on a symbiotic approach where OEM and partner both get benefited.
[004] In a traditional paradigm each partner interacts with OEM alone. The trend which is very visible is “Product to Services” where services become the major activities among partners along with traditional product based relationship. Since the interaction between OEM and different partners is isolated, there are a lot of communication gaps between partners associated with the same OEM. This leads to a longer product to market time. Also the coordination between partners is entirely dependant on the OEM.
[005] The traditional approach has a lot of drawbacks in management of partners associated with the OEM. Also due to lack of communication between partners, the forecast of future demand of goods cannot be estimated which leads to failure in product lifecycle management.
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SUMMARY
[006] Before the present systems and method for Orchestration of Services among Partners and Original Equipment Manufacturers is illustrated. It is to be understood that this application is not limited to the particular systems, and methodologies described, as there can be multiple possible embodiments that are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the description is for the purpose of describing the particular versions or embodiments only, and is not intended to limit the scope of the present application. This summary is provided to introduce concepts related to systems and method for segregating multimedia frames associated with a speaker. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in determining or limiting the scope of the claimed subject matter.
[007] In one implementation, a system for orchestration of Services among Partners and Original Equipment Manufacturers is illustrated. The system comprises a memory and a processor coupled to the memory, wherein the processor is configured to execute programmed instructions stored in the memory to maintain primary data and secondary data associated with an Original Equipment Manufacturer. The primary data corresponds to correlation between a set of partners associated with the Original Equipment Manufacturer and the secondary data corresponding to a set of customers associated with the Original Equipment Manufacturer. In one embodiment, the set of partners comprise a set of level one partners, a set of level two partners and a set of level three partners, wherein each level one partner is associated with a subset of level two partners, wherein each level two partner is associated with a subset of level three partners, and wherein the set of level one partner comprise a set of distributes and a set of dealers, wherein each distributor is associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers. The processor is further configured to execute programmed instructions stored in the memory for generate sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers. The processor is further configured to execute programmed instructions stored in the memory to forecast raw material supply data associated with each level one partner from the set of level one partners, wherein the raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners, wherein the
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pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners. The processor is further configured to execute programmed instructions stored in the memory to display, over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between each of the level one partners, level two partners, and level three partners. The processor is further configured to execute programmed instructions stored in the memory to generate one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners based on the analysis of sales forecast data and raw material supply data.
[008] In one implementation, a method for orchestration of Services among Partners and Original Equipment Manufacturers, is illustrated. The method may comprise steps for maintaining, by a processor, primary data and secondary data associated with an Original Equipment Manufacturer, wherein the primary data corresponds to correlation between a set of partners associated with the Original Equipment Manufacturer, wherein the secondary data corresponding to a set of customers associated with the Original Equipment Manufacturer, wherein the set of partners comprise a set of level one partners, a set of level two partners and a set of level three partners, wherein each level one partner is associated with a subset of level two partners, wherein each level two partner is associated with a subset of level three partners, and wherein the set of level one partner comprise a set of distributes and a set of dealers, wherein each distributor is associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers the method may comprise steps for generating, by the processor, sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers. The method may comprise steps for forecasting, by the processor, raw material supply data associated with each level one partner from the set of level one partners, wherein the raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners, wherein the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners. The method may comprise steps for displaying over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners
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and the correlation between each of the level one partners, level two partners, and level three partners. The method may further comprise steps for generating, by the processor, one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners based on the analysis of sales forecast data and raw material supply data.
[009] In yet another implementation, a computer program product having embodied computer program for orchestration of Services among Partners and Original Equipment Manufacturers is disclosed. The program may comprise a program code to maintain primary data and secondary data associated with an Original Equipment Manufacturer. The primary data corresponds to correlation between a set of partners associated with the Original Equipment Manufacturer and the secondary data corresponding to a set of customers associated with the Original Equipment Manufacturer. In one embodiment, the set of partners comprise a set of level one partners, a set of level two partners and a set of level three partners, wherein each level one partner is associated with a subset of level two partners, wherein each level two partner is associated with a subset of level three partners, and wherein the set of level one partner comprise a set of distributes and a set of dealers, wherein each distributor is associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers. The program may comprise a program code to generate sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers. The program may comprise a program code to forecast raw material supply data associated with each level one partner from the set of level one partners, wherein the raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners, wherein the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners. The program may comprise a program code to display, over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between each of the level one partners, level two partners, and level three partners. The program may comprise a program code to generate one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners based on the analysis of sales forecast data and raw material supply data.
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BRIEF DESCRIPTION OF DRAWINGS
[0010] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the drawings to refer like features and components.
[0011] Figure 1 illustrates a network implementation of a system configured for orchestration of Services among Partners and Original Equipment Manufacturers, in accordance with an embodiment of the present subject matter.
[0012] Figure 2 illustrates the system configured for orchestration of Services among Partners and Original Equipment Manufacturers, in accordance with an embodiment of the present subject matter.
[0013] Figure 3 illustrates a method for orchestration of Services among Partners and Original Equipment Manufacturers, in accordance with an embodiment of the present subject matter.
DETAILED DESCRIPTION
[0014] Some embodiments of the present disclosure, illustrating all its features, will now be discussed in detail. The words “maintaining”, “generating”, “forecasting”, “displaying”, and other forms thereof, are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms "a", "an" and "the" include plural references unless the context clearly dictates otherwise. Although any systems and methods similar or equivalent to those described herein can be used in Orchestration of Services among Partners and Original Equipment Manufacturers, the exemplary, systems and method for Orchestration of Services now described. The disclosed embodiments of the system and method for Orchestration of Services among Partners and Original Equipment Manufacturers are merely exemplary of the disclosure, which may be embodied in various forms.
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[0015] Various modifications to the embodiment will be readily apparent to those skilled in the art and the generic principles herein may be applied to other embodiments. However, one of ordinary skill in the art will readily recognize that the present disclosure for Orchestration of Services among Partners and Original Equipment Manufacturers is not intended to be limited to the embodiments illustrated, but is to be accorded the widest scope consistent with the principles and features described herein.
[0016] The system enables a users associated with the OEMs and partners to use a common digital platform for mutual interaction for sharing selected pieces of information and transactions. The system enables partners and OEMs to form a network and interact with each other. Unlike traditional communication systems, the present invention facilitates a platform to enable partners to interact among themselves and also with the OEMs.
[0017] Partners connected through the platform are not only doing transactions for products and services but also collectively working for higher level of collaboration and co creation jointly to create a bigger eco system. The platform enabled by the system is enriched when Partner’s Partner I.e. Level 2 Partners and few facilitating agencies also join the network to create a bigger ecosystem. This ecosystem encourages co-creation and innovation and helps the OEM get an edge over its competitors. All partners interact with each other keeping OEMs as the central focus point creating an Eco System of partners which fosters higher levels of collaboration and co-creation. Overall efficiency would increase to benefit both OEM and partners. The system further facilitates in enhancing Perfect Order Rate, Cash to Cash Cycle Time, Inventory Turn, Forecast Accuracy, and the like.
[0018] In one embodiment, the system enables interact between partners and OEMs in multiple ways and value creation is done through collaboration and co-creation is the ideal means to foster a relationship. The positive impact generated by such an ecosystem leads to higher KPI values & results in higher dollar value generation and saving. The system also enables a Partner’s Catalog Aggregation and Fulfilment Orchestration platform which can aggregate diversified catalogs for any kind of services. The system enables a dashboard with aggregation of multiple service offerings from multiple suppliers or internal teams for IT/ Non IT services along with automated orchestration for fulfilment of requirement. The system acts as a single stop shop for extended enterprise users that provides a unified experience to facilitate transactions, request handling and performance monitoring. The
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system enables a modern Eco System Portal that aggregates various partner’s service catalogs, news, advertisements through seamless transition of users and services and the catalog, services and knowledge content are aggregated and fulfilments are integrated within the Eco system. The system is scalable and is extendable to accommodate Level 2 and Level 3 Partners along with Level 1 Partners and all sorts of Co Creation and Collaboration Activities can be accommodated. Further, the network implementation of system configured for orchestration of Services among Partners and Original Equipment Manufacturers is illustrated with Figure 1.
[0019] Referring now to Figure 1, a network implementation 100 of a system 102 for orchestration of Services among Partners and Original Equipment Manufacturers is disclosed. Although the present subject matter is explained considering that the system 102 is implemented on a server, it may be understood that the system 102 may also be implemented in a variety of computing systems, such as a laptop computer, a desktop computer, a notebook, a workstation, a mainframe computer, a server, a network server, and the like. In one implementation, the system 102 may be implemented over a server. Further, the system 102 may be implemented in a cloud network. In one embodiment, the system may be implemented as a Platform as a Service (Paas). The system 102 may further be configured to communicate with an OEM, and set of partners associated with the OEM. The system may be configured to communicate with a CRM and project management tools associated with each of the OEMs and the set of partners using a communication network.
[0020] Further, it will be understood that the system 102 may be accessed by multiple users through one or more user devices 104-1, 104-2…104-N, collectively referred to as user device 104 hereinafter, or applications residing on the user device 104. Examples of the user device 104 may include, but are not limited to, a portable computer, a personal digital assistant, a handheld device, and a workstation. The user device 104 may be communicatively coupled to the system 102 through a network 106.
[0021] In one implementation, the network 106 may be a wireless network, a wired network or a combination thereof. The network 106 may be implemented as one of the different types of networks, such as intranet, local area network (LAN), wide area network (WAN), the internet, and the like. The network 106 may either be a dedicated network or a shared network. The shared network represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP),
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Hypertext Transfer Protocol Secure(HTTPS), File Transfer Protocol(FTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like, to communicate with one another. Further, the network 106 may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, and the like. In one embodiment, the system 102 may be configured to receive data from each of the partners from the set of partners. In one embodiment, the Set of partners may comprise a set of level one partners 112, a set of level two partners 114, and a set of level three partners 116. In one embodiment, each on the level one partners, level two partners, and level three partners are classified as one of a material supplier, a certification agency, a service supplier, a logistics supplier, and information supplier. Once the system 102 receives the data, the system 102 is configured to process the data as described with respect to figure 2.
[0022] Referring now to figure 2, the system 102 is configured for Orchestration of Services among Partners and Original Equipment Manufacturers in accordance with an embodiment of the present subject matter. In one embodiment, the system 102 may include at least one processor 202, an input/output (I/O) interface 204, and a memory 206. The at least one processor 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. Among other capabilities, at least one processor 202 may be configured to fetch and execute computer-readable instructions stored in the memory 206.
[0023] The I/O interface 204 may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like. The I/O interface 204 may allow the system 102 to interact with the user directly or through the user device 104. Further, the I/O interface 204 may enable the system 102 to communicate with other computing devices, such as web servers and external data servers (not shown). The I/O interface 204 may facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite. The I/O interface 204 may include one or more ports for connecting a number of devices to one another or to another server.
[0024] The memory 206 may include any computer-readable medium known in the art including, for example, volatile memory, such as static random access memory (SRAM)
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and dynamic random access memory (DRAM), and/or non-volatile memory, such as read only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes. The memory 206 may include modules 208 and data 210.
[0025] The modules 208 may include routines, programs, objects, components, data structures, and the like, which perform particular tasks, functions or implement particular abstract data types. In one implementation, the modules 208 may be configured to perform functions of the speech controller, visual face recognition & controller, and modulation & frame decomposer. The module 208 may include a data management module 212, a forecast module 214, a data visualization module 216, a recommendation module 218, and other modules 220. The other modules 220 may include programs or coded instructions that supplement applications and functions of the system 102.
[0026] The data 210, amongst other things, serve as a repository for storing data processed, received, and generated by one or more of the modules 208. The data 210 may also include a central data 228, and other data 230. In one embodiment, the other data 230 may include data generated as a result of the execution of one or more modules in the other modules 220. In one implementation, a user may access the system 102 via the I/O interface 204. The user may be registered using the I/O interface 204 in order to use the system 102. In one aspect, the user may access the I/O interface 204 of the system 102 for obtaining information, providing input information or configuring the system 102. The functioning of all the modules in the system 102 is described as below:
DATA MANAGEMENT MODULE 212
[0027] In one embodiment, the data management module 212 may be configured for maintaining primary data and secondary data associated with the Original Equipment Manufacturer 110. In one embodiment the primary data may correspond to correlation between a set of partners associated with the Original Equipment Manufacturer. The set of partners may comprise the set of level one partners 112, the set of level two partners 114 and the set of level three partners 116. In one embodiment, each level one partner may be associated with a subset of level two partners and each level two partner may be associated with a subset of level three partners. For example, the subset of level two partners associated with each level one partner and subset of level three partners associated with each of the level two partners may be maintained hierarchically using binary tree data structure.
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[0028] Furthermore, the secondary data may correspond to a set of customers associated with the Original Equipment Manufacturer 110. In one embodiment, the set of level one partner may comprise a set of distributes and a set of dealers. Furthermore, each distributor may be associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers. The correlation between OEM 110, the level one partners 112, level two partners 114, and level three partners 116 may change over the period of time. The data management module 112 is configured to record all the changes in the correlation between the set of partners on real-time basis.
FORECAST MODULE 214
[0029] In one embodiment, the forecast module 214 is configured to generate sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers. In one embodiment, the purchase history data is maintained in the form of central data 228. The purchase history data associated with the set of customers is updated periodically.
[0030] In one embodiment, the forecast module 214 is configured to forecast raw material supply data associated with each level one partner from the set of level one partners. The raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners. In one embodiment, the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners. The pending orders and raw material supply capacity data associated with each of the level three partners and level two partners may be captured from supply chain management system associated with each of the level two partners and level three partners. In one embodiment, the level two partners and level three partners may access the system using the user device 104 to enter the pending orders and raw material supply capacity data.
DATA VISUALIZATION MODULE 216
[0031] In one embodiment, the data visualization module 216 is configured to display, over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between
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each of the level one partners, level two partners, and level three partners. The correlation may be displayed using hierarchical representation of nodes, wherein each node represents a partner from the set of partners. The OEM 110 may view this data in order to take business decisions. The data visualization module 216 may further be configured to display pending orders and raw material supply capacity data associated with each level two partner and level three partner.
RECOMMENDATION MODULE 218
[0032] In one embodiment, the recommendation module 218 is configured to generate one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners, based on the analysis of sales forecast data and raw material supply data. In one embodiment, the recommendation module 218 may analyse the raw material supply data associated with each of the level one partners to determine future production load at each of the level one partners. For example, based on this analysis, if the recommendation module 218 identifies that a first level one partner will face more raw material supply load as compared to third level one partner. In this case, the recommendation module 218 may recommend one or more level two and level three partners to be allocated to the first level one partner. In one embodiment, the redistribution of level two partners and level three partners is provided by recommendation module 218 based on performance parameters associated with each of the level two partners and level three partners. Further, method for Orchestration of Services among Partners and Original Equipment Manufacturers is illustrated with respect to figure 3.
[0033] Referring now to figure 3, a method 300 for Orchestration of Services among Partners and Original Equipment Manufacturers, is disclosed in accordance with an embodiment of the present subject matter. The method 300 may be described in the general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, functions, and the like, that perform particular functions or implement particular abstract data types. The method 300 may also be practiced in a distributed computing environment where functions are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, computer executable instructions may be located in both local and remote computer storage media, including memory storage devices.
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[0034] The order in which the method 300 is described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method 300 or alternate methods. Additionally, individual blocks may be deleted from the method 300 without departing from the spirit and scope of the subject matter described herein. Furthermore, the method 300 can be implemented in any suitable hardware, software, firmware, or combination thereof. However, for ease of explanation, in the embodiments described below, the method 300 may be considered to be implemented in the above described system 102.
[0035] At block 302, the data management module 212 may be configured for maintaining primary data and secondary data associated with the Original Equipment Manufacturer 110. In one embodiment the primary data may correspond to correlation between a set of partners associated with the Original Equipment Manufacturer. The set of partners may comprise the set of level one partners 112, the set of level two partners 114 and the set of level three partners 116. In one embodiment, each level one partner may be associated with a subset of level two partners and each level two partner may be associated with a subset of level three partners. For example, the subset of level two partners associated with each level one partner and subset of level three partners associated with each of the level two partners may be maintained hierarchically using binary tree data structure.
[0036] Furthermore, the secondary data may correspond to a set of customers associated with the Original Equipment Manufacturer 110. In one embodiment, the set of level one partner may comprise a set of distributes and a set of dealers. Furthermore, each distributor may be associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers. The correlation between OEM 110, the level one partners 112, level two partners 114, and level three partners 116 may change over the period of time. The data management module 112 is configured to record all the changes in the correlation between the set of partners on real-time basis.
[0037] At block 304, the forecast module 214 is configured to generate sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers. In one embodiment, the purchase history data is maintained in the form of central data 228. The purchase history data associated with the set of customers is updated periodically.
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[0038] At block 306, the forecast module 214 is configured to forecast raw material supply data associated with each level one partner from the set of level one partners. The raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners. In one embodiment, the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners. The pending orders and raw material supply capacity data associated with each of the level three partners and level two partners may be captured from supply chain management system associated with each of the level two partners and level three partners. In one embodiment, the level two partners and level three partners may access the system using the user device 104 to enter the pending orders and raw material supply capacity data.
[0039] At block 308, the data visualization module 216 is configured to display, over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between each of the level one partners, level two partners, and level three partners. The correlation may be displayed using hierarchical representation of nodes, wherein each node represents a partner from the set of partners. The OEM 110 may view this data in order to take business decisions. The data visualization module 216 may further be configured to display pending orders and raw material supply capacity data associated with each level two partner and level three partner.
[0040] At block 310, the recommendation module 218 is configured to generate one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners, based on the analysis of sales forecast data and raw material supply data. In one embodiment, the recommendation module 218 may analyse the raw material supply data associated with each of the level one partners to determine future production load at each of the level one partners. For example, based on this analysis, if the recommendation module 218 identifies that a first level one partner will face more raw material supply load as compared to third level one partner. In this case, the recommendation module 218 may recommend one or more level two and level three partners to be allocated to the first level one partner. In one embodiment, the redistribution of level two partners and level three partners is provided by recommendation module 218 based on performance
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parameters associated with each of the level two partners and level three partners. The proposed system 102 enable following advantages:
- Enable Partners to communicate with each other
- onboarding, Partner Training and Seamless Partner Interaction
- aggregates various partner’s service catalogs, news, advertisements through seamless transition of users and services.
- single stop shop for extended enterprise users that provides a unified experience to facilitate transactions, request handling and performance monitoring
- accommodate Level 2 and Level 3 Partners along with Level 1 Partners and all sorts of Co Creation and Collaboration Activities can be accommodated
- Unified Partner Visibility Solution which integrates information from heterogeneous IT Landscape
- Enables Role based dashboards, stake holder based score cards with detailed drilldown reports for visibility at transactions levels
- Enables Decision support system with Multi Dimensional views
- Actionable Intelligence based on cause & effect analyses
- People to people collaboration through embedded communications technologies for interacting across the extended enterprise
- To remain globally competitive, Profit making organizations making investments need to know that these are worthwhile, that they are improving the performance of the organization & ultimately leading to increased profits
- Reduction of Procurement Cycle Time
- Reduction of Distribution Cycle Time
- Higher Inventory Turn Over
- Reduction of Inventory Carrying Cost
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- Reduction in Cash to Cash Cycle Time
[0041] Although implementations for systems and methods for Orchestration of Services among Partners and Original Equipment Manufacturers has been described, it is to be understood that the appended claims are not necessarily limited to the specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations for Orchestration of Services among Partners and Original Equipment Manufacturers.

WE CLAIM:
1. A system (102) for Orchestration of Services among Partners and Original Equipment Manufacturers (110), the system comprises:
A memory;
A processor coupled to the memory, wherein the processor is configured to execute programmed instructions stored in the memory to:
maintain primary data and secondary data associated with an Original Equipment Manufacturer (110), wherein the primary data corresponds to correlation between a set of partners associated with the Original Equipment Manufacturer (110), wherein the secondary data corresponding to a set of customers associated with the Original Equipment Manufacturer, wherein the set of partners comprise a set of level one partners (112), a set of level two partners (114) and a set of level three partners (116), wherein each level one partner is associated with a subset of level two partners, wherein each level two partner is associated with a subset of level three partners, and wherein the set of level one partner comprise a set of distributes and a set of dealers, wherein each distributor is associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers;
generate sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers;
forecast raw material supply data associated with each level one partner from the set of level one partners (112), wherein the raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners (114), wherein the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners (116);
display, over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between each of the level one partners, level two partners, and level three partners; and
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generate one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners based on the analysis of sales forecast data and raw material supply data.
2. The system of claim 1, wherein each on the level one partners, level two partners, and level three partners are classified as one of a material supplier, a certification agency, a service supplier, a logistics supplier, and information supplier.
3. The system of claim 1 is further configured to display pending orders and raw material supply capacity data associated with each level two partner and level three partner.
4. The system of claim 1, wherein the redistribution of level two partners and level three partners is further based on performance parameters associated with each of the level two partners and level three partners.
5. A method for Orchestration of Services among Partners and Original Equipment Manufacturers (110), the method comprises steps of:
maintaining, by a processor, primary data and secondary data associated with an Original Equipment Manufacturer (110), wherein the primary data corresponds to correlation between a set of partners associated with the Original Equipment Manufacturer (110), wherein the secondary data corresponding to a set of customers associated with the Original Equipment Manufacturer, wherein the set of partners comprise a set of level one partners (112), a set of level two partners (114) and a set of level three partners (116), wherein each level one partner is associated with a subset of level two partners, wherein each level two partner is associated with a subset of level three partners, and wherein the set of level one partner comprise a set of distributes and a set of dealers, wherein each distributor is associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers;
generating, by the processor, sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers;
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forecast, by the processor, raw material supply data associated with each level one partner from the set of level one partners (112), wherein the raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners (114), wherein the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners(116);
display, by the processor over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between each of the level one partners, level two partners, and level three partners; and
generate, by the processor, one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners based on the analysis of sales forecast data and raw material supply data.
6. The method of claim 5, wherein each on the level one partners, level two partners, and level three partners are classified as one of a material supplier, a certification agency, a service supplier, a logistics supplier, and information supplier.
7. The method of claim 5 further comprising steps to display pending orders and raw material supply capacity data associated with each level two partner and level three partner.
8. The method of claim 5, wherein the redistribution of level two partners and level three partners is further based on performance parameters associated with each of the level two partners and level three partners.
9. A computer program product having embodied thereon a computer program for Orchestration of Services among Partners and Original Equipment Manufacturers (110), the computer program product comprises:
a program code for maintaining primary data and secondary data associated with an Original Equipment Manufacturer (110), wherein the primary data corresponds to correlation between a set of partners associated with the Original Equipment
Manufacturer (110), wherein the secondary data corresponding to a set of customers associated with the Original Equipment Manufacturer, wherein the set of partners comprise a set of level one partners (110), a set of level two partners (114) and a set of level three partners (116), wherein each level one partner is associated with a subset of level two partners, wherein each level two partner is associated with a subset of level three partners, and wherein the set of level one partner comprise a set of distributes and a set of dealers, wherein each distributor is associated with one or more customer from the set of customers, and wherein each deal is associated with one or more customers from the set of customers; a program code for generating sales forecast data based on analysis of purchase a program code for generating sales forecast data based on analysis of purchase history data associated with each of the customers from the set of customers;
a program code for forecasting raw material supply data associated with each level one partner from the set of level one partners (112), wherein the raw material supply data is forecasted based on pending orders and raw material supply capacity data associated with each level two partner from the set of level two partners (114), wherein the pending orders associated with each level two partner is determined based on pending orders and raw material supply capacity data associated with each level three partner from the set of level three partners (116);
a program code for displaying, over a graphical user interface, sales forecast data and raw material supply data associated with each level one partner, from the set of level one partners and the correlation between each of the level one partners, level two partners, and level three partners; and
a program code for generating one or more suggestions to redistribute level two partners and level three partners associated with one or more level one partners based on the analysis of sales forecast data and raw material supply data.