Uploaded on May 7, 2021
Type of Technologies used in Planning & Forecasting process and how does it help lenders. · Data Science based algorithms: Lenders can find the relationship between numbers and months. This provides an understanding which is beyond personal judgements. · Use of IOT for better demand forecasting: IOT significantly assists in monitoring and managing inventory. It analyses the demand and can sense the shift in demand with respect to various variables like; seasonal purchases, historical trends, weather conditions. · Artificial Intelligence and Big data: AI help in dealing with reality and accordingly stream line the business process. This technology has made forecasting and inventory management smarter. · Robotic & Automation: These technologies assist in optimising the process of forecasting with respect to saving cost and time. · As a Service and Cloud Computing: Due to having cloud computing infrastructure firms can scale up the infrastructure in storing data or accessing the data. · Increase speed & quality: Doing forecasted analysis helps underwriter in gaining confidence and valuing risk. This set of information catalyst the lending decisions. · Increase flexibility: Analysing forecasting long term, short term data gives the liberty to lenders to be flexible towards borrower and offer them services as per their vivid demand. · Replacement of Manpower leading towards accuracy: The time invested in maintaining or syncing in big data shortens when managed automatically. · Better decision Making: The technology forecasting is mainly driven by the data and the experts which leads to more informed and better decision making.
Type of Technologies used in Planning & Forecasting process and how does it help lenders. (1)
D ata Science- Based A lgorithms: Lenders can find the relationship between numbers and months. This provides an understanding which is beyond personal judgments. Use of IOT for Better Demand Forecasting: IOT significantly assists in monitoring and managing inventory. It analyses the demand and can sense the shift in demand with respect to various variables like; seasonal purchases, historical trends, weather conditions. Artificial Intelligence and Big Data: AI helps in dealing with reality and accordingly streamline the business process. This technology has made forecasting and inventory management smarter. Robotic & Automation: These technologies assist in optimizing the process of forecasting with respect to saving cost and time. As a Service and Cloud Computing: Due to having cloud computing infrastructure firms can scale up the infrastructure in storing data or accessing the data. As a Service and Cloud Computing: Due to having cloud computing infrastructure firms can scale up the infrastructure in storing data or accessing the data. I ncrease Speed & Q uality: Doing forecasted analysis helps the underwriter in gaining confidence and valuing risk. This set of information catalyst the lending decisions. I ncrease flexibi li ty: Analyzing forecasting long-term, short-term data gives the liberty to lenders to be flexible towards borrowers and offer them services as per their vivid demand. Replacement of Manpower leading towards accuracy: The time invested in maintaining or syncing in big data shortens when managed automatically. Better Decision Making: Technology forecasting is mainly driven by the data and the experts which leads to more informed and better decision making. Thanks Source: ForwardAI https://www.forwardai.co m/
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