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
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