Business Process Analytics

The paper discusses the application of AI to order receiving processes. It analyzes the order entry and sales process of the retail company to understand how AI can be used in the system. The paper concludes stating the need for the organizations to adapt well to this evolving technology.

Running head: BUSINESS PROCESS ANALYTICS
BUSINESS PROCESS ANALYTICS
Name of student
Name of university
Author’s note:

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Executive summary
In the paper the order entry or sales process of a retail company is discussed. Artificial
intelligence has proved its potential in almost all spheres and is expected to take the
operations of the organizations to different level. Human intelligence combined with
machine learning will achieve bigger targets minimizing time required in operations and
making them user friendly. The use of AI in receiving orders is analysed and the various
requirements to bring the necessary change is also discussed. The paper concludes stating the
need for the organizations to adapt well to this evolving technology.

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Table of Contents
Introduction....................................................................................................................3
BPMN description..........................................................................................................3
Business process integration plan..................................................................................5
Target business process..............................................................................................5
Needed IT resources...................................................................................................5
Required organisational resources.............................................................................5
Related Business roles................................................................................................6
Business process dependency....................................................................................6
Conclusion......................................................................................................................6
Bibliography...................................................................................................................7

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Introduction
The paper considers the order entry or sales process of a retail company. Artificial
Intelligence or AI has evolved a lot since its development. With the invention of computers in
the year 1943, the researchers got intrigued to AI. AI links human intelligence to machines
and has proven its potential in many spheres including logistics, building smart homes and
many more. This company procures the products from the suppliers and sells the same to the
customers. Some of the main steps include presales activity, sales order generating process,
packing the products and shipping. The report discusses the application of AI to order
receiving processes.
BPMN description
Figure: BPMN diagram
Source: (Created by author)

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The order entry and sales process of the retail company is analysed to understand how
AI can be used in the system. The initial step of the order entry process is receiving the calls
of the customer in the customer care kiosk. After a customer calls in an order, the customer
service representatives perform a credit check. The credit department is responsible to help
the customer service representatives with this check along with the product availability
check. The credit level check involves a customer number which is generated at the time of
registration. The total checking also considers the total number of orders passed by the
customer service representative. The process ensures that total value of the present order
including any outstanding receivable balance does not exceed the clients’ credit limit. The
credit approval is not processed further if it is found that the total present amount exceeds the
credit limit of the customer. If the customer passes the credit checking, the customer service
representative will redeem some data that include the name of the customer, address and the
credit terms from the stored master data. After this the customers have to confirm the above
mentioned details in order to ensure that the data retrieved is correct. The next step requires
the customers service representative to enters some other data in sales order that include part
number, price of the product, quantity, total cost of the current order, date of delivery and
others such important records. After this the inventory data is checked to find out if the stock
at there is less than the quantity ordered and if it is found to be less then back order process
is opted for. A sales order record is created by the computer and the master data related to
inventory is updated. Thereafter the sales order is allocated to the inventory generating a sales
order number. This sales order number is given to the customer. For the warehouse, a picking
ticket is printed which contains the bar code of the sales order number. As and when products
are picked, the personnel at the warehouse insert these items on the ticket. Once all the
products are picked, the goods are compared to the picking tickets. These tickets are then
initialized and products sent to the shipping department. The bar code on the picking ticket is

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scanned at the shipping department and details matched. If order number and the order
quantities match, the shipment is recorded. The sales order, general ledger data and
inventory data are updated and packing slip along with bill of landing is printing.
Business process integration plan
Target business process
The traditional business process involves customer service executives to receive calls
and confirm orders. After confirming the order a lengthy process involving the credit
department, shipping department and other such departments are involved. Using AI in the
order receiving process will require making use of chatbots in the process. Instead of human
counterparts the customers will book their order by communicating with the chatbots.
Chatbots and virtual assistance will effectively replace the human resources and also be
helpful in reducing the time taken in the process.
Needed IT resources
Networking is the primary component of any artificial intelligence infrastructure. To
implement AI the network system of the organization needs to be upgraded. Computer
resources need to be upgraded and added to the existing ones. As the above process involves
data storage the company should opt for GPU which can help the organization in optimizing
the data centre infrastructure. The process will require large storage, server CPUs,
networking bandwidth and cloud based storage devices.
Required organisational resources
Organizational resources that are required for implementing AI are human resource
including IT heads, data analysts and others who are well knowledgeable about the

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technology. Proper infrastructure is also required to implement AI along with computer
systems. Financial resources are also a matter of concern as implementing new technology
requires investment.
Related Business roles
The traditional process involved human resources at each and every step of the
delivery process. After implementing AI in this process the human intervention can be
avoided and the customers will directly deal with the computerized system. From the initial
time of product selection to product delivery the process will be computerized and minimal or
no human intervention will be involved.
Business process dependency
The business process will depend on the databases as volumes of data will be stored
in the cloud based services. The data as and when required will be retrieved from these
databases. Thus in order receiving system, the dependency on the database will be high. The
process will depend on internet services as well.
Conclusion
The organizations need to adapt to the changes brought in by implementing Artificial
Intelligence to the operations of the organization. The use of AI in order receiving process
will help reduce the time which was being previously used in the same process. This process
will help in reducing errors as well. The huge volumes of data will be organized in a proper
way. The system will be far more responsive than the previous one owing to the
computerized system. AI enabled systems define the future infrastructure of order receiving
systems and will be highly effective in solving many problems in the present system.

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