Multi-Bot AI Architecture to get your customers 24/7 services - Prismetric

Bots have become like air now, omnipresent. According to a report by the FTC, 37% of the internet traffic today is due to digital bots. People are using bots to find their favorite tracks, call friends and colleagues, ask for routes, solve their queries related to products and what not. Many companies have started using bots to increase their business with a chatbot. There are many services wherein a single bot is not sufficient or can underperform; hence, the idea of multi-bot AI architecture evolved.

Benefits of a multi-bot approach
Customer can address everything from a Single Point or Conversation
From a user perspective, it can prove to be quite a bit of hassle in a case they need to have a conversation with bots as well as humans for solving a particular problem. For instance, for a billing related query, a chatbot would answer the most basic questions of a user and then schedule a call with the customer care for more detailed information. This leaves the customers waiting till some executive is available to speak to.

With a multi-bot architecture, a business can schedule multiple bots to do the heavy lifting in the backend. This will leave a single bot as the single point of communication for the customer.

Multi-bot-model

Multi-bot model eliminates constraints from the business
Many times a single AI bot may prove to be insufficient in addressing the complexities of the modern business.

There is an upper bound on the capabilities of an AI bot in terms of the maximum numbers of topics that it can handle simultaneously.

If the models are designed in such a manner that they are targeted to solve a specific task then the AI bot’s upper bound limit is sufficient to handle all the possible business use cases. But if, there is a single Ai bot required handling multiple tasks together, then it will affect its performance.

If too many tasks are assigned to a single AI bot, then there are tradeoffs to be made between quality and functionality. This is why a multi-bot architecture is desirable so that too much pressure does not come upon a single bot.

Different bots for different tasks
With a multi-bot architecture, it is possible to assign a different bot for a different task. Different bots for different purposes help in establishing a good connection with customers by allowing the designers to design a separate personality for each bot. For instance, a bot that handles transactions should have a different approach than a chatbot for customer services. Having different personas for each bot can play a vital role in designing a smooth user journey.

While designing bots it is important to consider parameters like state and history. A stateless bot is a kind of bot that does not need to know what has gone before to respond. A good example of a stateless bot would be a simple FAQ bot.

A non- stateless bot, on the other hand, is a bot that needs to know the history in order to respond correctly. A journey bot is a good example of a state bot.

A multi-bot architecture allows various bots to work in harmony with each other so that the necessary tasks are executed with perfection. Using the multi-bot architecture, the artificial intelligence for business can be given a nitro boost.

While designing a multi-bot architecture, sufficient care needs to be taken to ensure disambiguation in the system. Every bot must know the action to be taken and each task should be assigned to an appropriately skilled bot.

With a multi-bot architecture, it is easy to keep adding more skills to the bots and expand the range of use cases.

An insurance company dealing in various kinds of insurance products can benefit from multi bot architecture. For example, when a customer asks, “I would like to buy insurance”, the system can respond “Would like insurance for your car, home or life?” Then, depending upon the user’s response, an appropriate bot can be assigned on the task.

Multi bot architecture aids in greater efficiency and consistency in customer experience. This is because with multiple bots, information sharing becomes easy as the bots can access shared resources like HR and IT.

Easily Turn On and Off Bots
What happens if a bot breaks down, or need an update? It isn’t viable for a company to turn off a single bot, as it will create havoc in the system and human executives won’t be able to match the efficiency of a bot on a short notice.

With a multi-bot architecture a business can remove a bot from live execution at will without disrupting the system. Thus, allowing a greater degree of flexibility and security in case of bot failure.

More Satisfied Customers
A multi-bot architecture translates into more satisfied customers. This is because unlike single bot architecture, customers here do not need to wait for human assistance to find a solution for their problem.

Also multi bot architecture allows the customers a luxury of not being specific with their queries. They could just ask their questions like they would to a human being and let the multi-bot architecture find solutions to their problems. The multi-bot architecture will provide quick and relevant responses to the customers.

Build specialized bots
There are different bot types like

Transactional bots
Informational bots
Entertainment bots
The transactional bots act as agents on behalf of humans and interact with external systems in order to accomplish specific transactions. Amy Ingram is a bot with a human persona which interacts with emails in order to automatically find ideal meeting times for distributed teams.

Continue to read: Multi-Bot AI Architecture to get your customers 24/7 services

#ai-in-chatbot #artificial-intelligence #ai-technology

What is GEEK

Buddha Community

Multi-Bot AI Architecture to get your customers 24/7 services - Prismetric
Shubham Ankit

Shubham Ankit

1657081614

How to Automate Excel with Python | Python Excel Tutorial (OpenPyXL)

How to Automate Excel with Python

In this article, We will show how we can use python to automate Excel . A useful Python library is Openpyxl which we will learn to do Excel Automation

What is OPENPYXL

Openpyxl is a Python library that is used to read from an Excel file or write to an Excel file. Data scientists use Openpyxl for data analysis, data copying, data mining, drawing charts, styling sheets, adding formulas, and more.

Workbook: A spreadsheet is represented as a workbook in openpyxl. A workbook consists of one or more sheets.

Sheet: A sheet is a single page composed of cells for organizing data.

Cell: The intersection of a row and a column is called a cell. Usually represented by A1, B5, etc.

Row: A row is a horizontal line represented by a number (1,2, etc.).

Column: A column is a vertical line represented by a capital letter (A, B, etc.).

Openpyxl can be installed using the pip command and it is recommended to install it in a virtual environment.

pip install openpyxl

CREATE A NEW WORKBOOK

We start by creating a new spreadsheet, which is called a workbook in Openpyxl. We import the workbook module from Openpyxl and use the function Workbook() which creates a new workbook.

from openpyxl
import Workbook
#creates a new workbook
wb = Workbook()
#Gets the first active worksheet
ws = wb.active
#creating new worksheets by using the create_sheet method

ws1 = wb.create_sheet("sheet1", 0) #inserts at first position
ws2 = wb.create_sheet("sheet2") #inserts at last position
ws3 = wb.create_sheet("sheet3", -1) #inserts at penultimate position

#Renaming the sheet
ws.title = "Example"

#save the workbook
wb.save(filename = "example.xlsx")

READING DATA FROM WORKBOOK

We load the file using the function load_Workbook() which takes the filename as an argument. The file must be saved in the same working directory.

#loading a workbook
wb = openpyxl.load_workbook("example.xlsx")

 

GETTING SHEETS FROM THE LOADED WORKBOOK

 

#getting sheet names
wb.sheetnames
result = ['sheet1', 'Sheet', 'sheet3', 'sheet2']

#getting a particular sheet
sheet1 = wb["sheet2"]

#getting sheet title
sheet1.title
result = 'sheet2'

#Getting the active sheet
sheetactive = wb.active
result = 'sheet1'

 

ACCESSING CELLS AND CELL VALUES

 

#get a cell from the sheet
sheet1["A1"] <
  Cell 'Sheet1'.A1 >

  #get the cell value
ws["A1"].value 'Segment'

#accessing cell using row and column and assigning a value
d = ws.cell(row = 4, column = 2, value = 10)
d.value
10

 

ITERATING THROUGH ROWS AND COLUMNS

 

#looping through each row and column
for x in range(1, 5):
  for y in range(1, 5):
  print(x, y, ws.cell(row = x, column = y)
    .value)

#getting the highest row number
ws.max_row
701

#getting the highest column number
ws.max_column
19

There are two functions for iterating through rows and columns.

Iter_rows() => returns the rows
Iter_cols() => returns the columns {
  min_row = 4, max_row = 5, min_col = 2, max_col = 5
} => This can be used to set the boundaries
for any iteration.

Example:

#iterating rows
for row in ws.iter_rows(min_row = 2, max_col = 3, max_row = 3):
  for cell in row:
  print(cell) <
  Cell 'Sheet1'.A2 >
  <
  Cell 'Sheet1'.B2 >
  <
  Cell 'Sheet1'.C2 >
  <
  Cell 'Sheet1'.A3 >
  <
  Cell 'Sheet1'.B3 >
  <
  Cell 'Sheet1'.C3 >

  #iterating columns
for col in ws.iter_cols(min_row = 2, max_col = 3, max_row = 3):
  for cell in col:
  print(cell) <
  Cell 'Sheet1'.A2 >
  <
  Cell 'Sheet1'.A3 >
  <
  Cell 'Sheet1'.B2 >
  <
  Cell 'Sheet1'.B3 >
  <
  Cell 'Sheet1'.C2 >
  <
  Cell 'Sheet1'.C3 >

To get all the rows of the worksheet we use the method worksheet.rows and to get all the columns of the worksheet we use the method worksheet.columns. Similarly, to iterate only through the values we use the method worksheet.values.


Example:

for row in ws.values:
  for value in row:
  print(value)

 

WRITING DATA TO AN EXCEL FILE

Writing to a workbook can be done in many ways such as adding a formula, adding charts, images, updating cell values, inserting rows and columns, etc… We will discuss each of these with an example.

 

CREATING AND SAVING A NEW WORKBOOK

 

#creates a new workbook
wb = openpyxl.Workbook()

#saving the workbook
wb.save("new.xlsx")

 

ADDING AND REMOVING SHEETS

 

#creating a new sheet
ws1 = wb.create_sheet(title = "sheet 2")

#creating a new sheet at index 0
ws2 = wb.create_sheet(index = 0, title = "sheet 0")

#checking the sheet names
wb.sheetnames['sheet 0', 'Sheet', 'sheet 2']

#deleting a sheet
del wb['sheet 0']

#checking sheetnames
wb.sheetnames['Sheet', 'sheet 2']

 

ADDING CELL VALUES

 

#checking the sheet value
ws['B2'].value
null

#adding value to cell
ws['B2'] = 367

#checking value
ws['B2'].value
367

 

ADDING FORMULAS

 

We often require formulas to be included in our Excel datasheet. We can easily add formulas using the Openpyxl module just like you add values to a cell.
 

For example:

import openpyxl
from openpyxl
import Workbook

wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']

ws['A9'] = '=SUM(A2:A8)'

wb.save("new2.xlsx")

The above program will add the formula (=SUM(A2:A8)) in cell A9. The result will be as below.

image

 

MERGE/UNMERGE CELLS

Two or more cells can be merged to a rectangular area using the method merge_cells(), and similarly, they can be unmerged using the method unmerge_cells().

For example:
Merge cells

#merge cells B2 to C9
ws.merge_cells('B2:C9')
ws['B2'] = "Merged cells"

Adding the above code to the previous example will merge cells as below.

image

UNMERGE CELLS

 

#unmerge cells B2 to C9
ws.unmerge_cells('B2:C9')

The above code will unmerge cells from B2 to C9.

INSERTING AN IMAGE

To insert an image we import the image function from the module openpyxl.drawing.image. We then load our image and add it to the cell as shown in the below example.

Example:

import openpyxl
from openpyxl
import Workbook
from openpyxl.drawing.image
import Image

wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']
#loading the image(should be in same folder)
img = Image('logo.png')
ws['A1'] = "Adding image"
#adjusting size
img.height = 130
img.width = 200
#adding img to cell A3

ws.add_image(img, 'A3')

wb.save("new2.xlsx")

Result:

image

CREATING CHARTS

Charts are essential to show a visualization of data. We can create charts from Excel data using the Openpyxl module chart. Different forms of charts such as line charts, bar charts, 3D line charts, etc., can be created. We need to create a reference that contains the data to be used for the chart, which is nothing but a selection of cells (rows and columns). I am using sample data to create a 3D bar chart in the below example:

Example

import openpyxl
from openpyxl
import Workbook
from openpyxl.chart
import BarChart3D, Reference, series

wb = openpyxl.load_workbook("example.xlsx")
ws = wb.active

values = Reference(ws, min_col = 3, min_row = 2, max_col = 3, max_row = 40)
chart = BarChart3D()
chart.add_data(values)
ws.add_chart(chart, "E3")
wb.save("MyChart.xlsx")

Result
image


How to Automate Excel with Python with Video Tutorial

Welcome to another video! In this video, We will cover how we can use python to automate Excel. I'll be going over everything from creating workbooks to accessing individual cells and stylizing cells. There is a ton of things that you can do with Excel but I'll just be covering the core/base things in OpenPyXl.

⭐️ Timestamps ⭐️
00:00 | Introduction
02:14 | Installing openpyxl
03:19 | Testing Installation
04:25 | Loading an Existing Workbook
06:46 | Accessing Worksheets
07:37 | Accessing Cell Values
08:58 | Saving Workbooks
09:52 | Creating, Listing and Changing Sheets
11:50 | Creating a New Workbook
12:39 | Adding/Appending Rows
14:26 | Accessing Multiple Cells
20:46 | Merging Cells
22:27 | Inserting and Deleting Rows
23:35 | Inserting and Deleting Columns
24:48 | Copying and Moving Cells
26:06 | Practical Example, Formulas & Cell Styling

📄 Resources 📄
OpenPyXL Docs: https://openpyxl.readthedocs.io/en/stable/ 
Code Written in This Tutorial: https://github.com/techwithtim/ExcelPythonTutorial 
Subscribe: https://www.youtube.com/c/TechWithTim/featured 

#python 

Evelyn  Lucy

Evelyn Lucy

1619096139

Multi Service App Development | On-Demand Multi-Services App Solution

Having a multi-services app would help you to excel in your on-demand services business. An on-demand app solution empowers entrepreneurs to offer multiple on-demand services in a single app. In short, this is an efficient app to run a business successfully. If you are an entrepreneur who plans to start a business with the multi-services app, go forward with the multi-service app development.

What are the multiple services offered in the on-demand multi-services app?

Services are categorized as follows.
Ride services – Taxi ride, Moto ride, Car rental, and Moto rental.
Delivery services – Food delivery, Courier delivery, Logistics delivery, Grocery delivery, Medicine delivery, Flower delivery, Fuel delivery, and Plant delivery.
Other services – Plumber, Electrician, Car wash, Fitness, Handyman, Car repair, and beauty services.

Apart from these, you can consider integrating several other services while developing your app.

3 Significant reasons to invest in the on-demand multi-services app

The first and foremost reason why customers use this app is the on-demand multi-service on one platform. Usually, people do not like to install so many apps for availing various services. Instead, they can have a single app for that. This is the reason why the demand for such apps is high.

Next, the incurred cost is less in this app when compared to the single service app. With the seamless navigation feature, customers can easily avail of any services with just a few taps.

Thirdly, they feel more convenient in availing themselves various services in one platform.

Future scope of the multi-service industry

There are 7.6 million users for the multi-service apps in 2019. Recently, the demand for such apps is high considerably due to the covid-19 pandemic. It is expected to flourish more in the future. By 2023, this industry will hit 161.74 billion. This is so inspiring and so many entrepreneurs plan to propel into this industry in 2021.

Consider the following aspects for multi-service app development

Integrate the Multilingual and Multiple currencies features

Never let language be a barrier to your business. Therefore, incorporate the multilingual feature so that customers can use the app in their languages.

The global launch will help you to have a more extensive user base for your app. Just like language, do not let the currency restrict you from launching your app across many countries.

User-friendly design

The UI/UX of the app has to be simple and appealing. This plays a vital role in gaining more customers. If the design is not user-friendly and unimpressive, they won’t prefer your app for the next time. Instead, they prefer using your competitors’ app for availing multiple services. To gain new customers and to retain the existing customers, focus on the app design.

App platform

To cover all the audiences, consider launching the app on both the Android and iOS platforms. Decide on which platform you will launch the app based on your target audience.

White-label solution

It is a known fact that making an app from scratch needs more time and requires a considerable amount of money. On the counter side, creating the app using the white-label solution is budget-friendly and time-conserving. Because, it is a readily available solution. Upon making modifications, you can launch the app instantly. Being the customizable solution, any new features can be incorporated based on the requirements.

Wrap up,

The decision of starting a business with the on-demand multi-services app is good as the market will flourish further in the upcoming days. Take away the points from this blog to withstand in the highly competitive market. Reach out to Uberlikeapp for multi-services app development. We provide a customizable app solution that is scalable based on your needs.

#on demand multi services app #multi services app development #multi service booking app #on-demand service app clone #on-demand multi-services app solution

Multi-Bot AI Architecture to get your customers 24/7 services - Prismetric

Bots have become like air now, omnipresent. According to a report by the FTC, 37% of the internet traffic today is due to digital bots. People are using bots to find their favorite tracks, call friends and colleagues, ask for routes, solve their queries related to products and what not. Many companies have started using bots to increase their business with a chatbot. There are many services wherein a single bot is not sufficient or can underperform; hence, the idea of multi-bot AI architecture evolved.

Benefits of a multi-bot approach
Customer can address everything from a Single Point or Conversation
From a user perspective, it can prove to be quite a bit of hassle in a case they need to have a conversation with bots as well as humans for solving a particular problem. For instance, for a billing related query, a chatbot would answer the most basic questions of a user and then schedule a call with the customer care for more detailed information. This leaves the customers waiting till some executive is available to speak to.

With a multi-bot architecture, a business can schedule multiple bots to do the heavy lifting in the backend. This will leave a single bot as the single point of communication for the customer.

Multi-bot-model

Multi-bot model eliminates constraints from the business
Many times a single AI bot may prove to be insufficient in addressing the complexities of the modern business.

There is an upper bound on the capabilities of an AI bot in terms of the maximum numbers of topics that it can handle simultaneously.

If the models are designed in such a manner that they are targeted to solve a specific task then the AI bot’s upper bound limit is sufficient to handle all the possible business use cases. But if, there is a single Ai bot required handling multiple tasks together, then it will affect its performance.

If too many tasks are assigned to a single AI bot, then there are tradeoffs to be made between quality and functionality. This is why a multi-bot architecture is desirable so that too much pressure does not come upon a single bot.

Different bots for different tasks
With a multi-bot architecture, it is possible to assign a different bot for a different task. Different bots for different purposes help in establishing a good connection with customers by allowing the designers to design a separate personality for each bot. For instance, a bot that handles transactions should have a different approach than a chatbot for customer services. Having different personas for each bot can play a vital role in designing a smooth user journey.

While designing bots it is important to consider parameters like state and history. A stateless bot is a kind of bot that does not need to know what has gone before to respond. A good example of a stateless bot would be a simple FAQ bot.

A non- stateless bot, on the other hand, is a bot that needs to know the history in order to respond correctly. A journey bot is a good example of a state bot.

A multi-bot architecture allows various bots to work in harmony with each other so that the necessary tasks are executed with perfection. Using the multi-bot architecture, the artificial intelligence for business can be given a nitro boost.

While designing a multi-bot architecture, sufficient care needs to be taken to ensure disambiguation in the system. Every bot must know the action to be taken and each task should be assigned to an appropriately skilled bot.

With a multi-bot architecture, it is easy to keep adding more skills to the bots and expand the range of use cases.

An insurance company dealing in various kinds of insurance products can benefit from multi bot architecture. For example, when a customer asks, “I would like to buy insurance”, the system can respond “Would like insurance for your car, home or life?” Then, depending upon the user’s response, an appropriate bot can be assigned on the task.

Multi bot architecture aids in greater efficiency and consistency in customer experience. This is because with multiple bots, information sharing becomes easy as the bots can access shared resources like HR and IT.

Easily Turn On and Off Bots
What happens if a bot breaks down, or need an update? It isn’t viable for a company to turn off a single bot, as it will create havoc in the system and human executives won’t be able to match the efficiency of a bot on a short notice.

With a multi-bot architecture a business can remove a bot from live execution at will without disrupting the system. Thus, allowing a greater degree of flexibility and security in case of bot failure.

More Satisfied Customers
A multi-bot architecture translates into more satisfied customers. This is because unlike single bot architecture, customers here do not need to wait for human assistance to find a solution for their problem.

Also multi bot architecture allows the customers a luxury of not being specific with their queries. They could just ask their questions like they would to a human being and let the multi-bot architecture find solutions to their problems. The multi-bot architecture will provide quick and relevant responses to the customers.

Build specialized bots
There are different bot types like

Transactional bots
Informational bots
Entertainment bots
The transactional bots act as agents on behalf of humans and interact with external systems in order to accomplish specific transactions. Amy Ingram is a bot with a human persona which interacts with emails in order to automatically find ideal meeting times for distributed teams.

Continue to read: Multi-Bot AI Architecture to get your customers 24/7 services

#ai-in-chatbot #artificial-intelligence #ai-technology

Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Customer Care Services & Solutions | DK Business Patron

In a major announcement made earlier last week, the outsourcing giant DK business patron has turned over the market scenario and raised competition. The constant upgrades and inventive inputs that the competent team of DK business patron is putting in to expand their business and reform their business model have been commendable over the years and with the latest additions to their sphere of work they are proving to be a tough competition to International organizations as well.

The strategy managers at DK business patron seem to always take into account the new business opportunities arising in the outsourcing market and snatch the best of it before their competitors venture out towards expansion.

The recent expansion has been made by launching a global** customer care service** segment that is intended to cater to services like helpdesk service, phone answering, common technical support, direct response, virtual assistance, call centre consulting, social customer support and a wide array of others.

The specialty of this move is that other organizations of this stature have not stepped into business expansion this intensively and that the extensive nature of the offerings listed by the new global customer care services by DK business patron stands out in terms of variety while quality is of course guaranteed when the name of this giant is linked with the services.

Over years of extending services to National and international clients, their team has figured out the expansion strategy that should be incorporated to make DK business patron stand as a strong International organization when it comes to outsourcing services at minimal rates and uncompromised quality. The expansions such as that of the new global customer care services segment have put in the local competitors of this organization stand dilemmatic to change their strategies for combating this giant that is becoming stronger than ever.

It has also been reported that the outsourcing companies that already ran customer service are now anticipating a major fall in their percentage share specifically relating to International clients as now DK business patron has entered this segment. Considering the name of DK business patron in International client’s good books regarding the other services that they have been providing for years now, it can be understood what an impact this new proposition would makes on the competitors in this segment.

The market is now eyeing the marketing strategies that DK business patron will consider for its customer service outsourcing unit as that will play a role in identifying the manner in which competitors shall move to respond. The competitors are however aware of the fact that the name of DK business patron is going to get half of the work done when it comes to marketing but they still await the details of this launch to formulate their next move.

Reports are that their team is looking forward to taking the expansion ahead in some more segments that are arising as the latest outsourcing requirements to meet the market demand posed by the international clients mainly. Experts have to state that while venturing into expansion through multiple new units, the team has to make sure to deploy learned and professional personnel for handling the operations to stand up to the quality standards set by the parent organization.

Such developments by **DK Business Patron **have been a matter of time and not if, considering its aggressive market tactics. Such newer developments are continually adding to the firm value and also opening a wide array of opportunities for the organization with the launch of every new unit.

The segment of customer service outsourcing including inbound call center services is about to take a complete reinvention if the record of DK business patron is to be considered. The diligent team completely reforms the services with inventive technology and professional guidance to cater to their clients with the best and latest innovation that is available in the market. The market now waits for the next move of this giant and the competitors focus on retaining their percentage of clientele.

#customer care services #customer care services #customer service call centre #customer service centre