How Artificial Intelligence improves variability across B2C enterprises.
                     HOW  ARTIIFIICIIAL  
IINTELLIIGENCE  IIMPROVES  
VARIIABIILIITY  ACROSS  B2C  
ENTERPRIISES
INTRODUCTION
• Artificial Intelligence and solutions for machine 
learning allow B2C businesses to build the right plan 
for business development. 
• The speed of digital transformation through global 
B2C industries is driven by artificial intelligence and its 
subsets. 
Source: www.sentinelassam.com
OPERATION
• Disruptive innovations such as AI, machine learning, 
and natural language processing were promptly 
introduced throughout the industry well before the 
COVID 19 epidemic stopped company operations. 
• A United Nations Conference on Trade and 
Development (UNCTAD) report reports that in 2017, 
the digital economy accounted for 15 percent of 
global GDP. 
Source: www.analyticsinsight.net
B2C FIRMS
• Many variables derailed effective market processes 
with the outbreak of COVID 19. 
• Any of the problems faced by B2C firms is sustained 
tight lockdowns, volatility in consumer requests, and 
a disrupted supply chain. 
Source: www.top.studio.com
CUSTOMER EXPECTATIONS
• Since B2C companies are driven by customer 
expectations, the secret to business success is to 
recognise shifts in customer expectations. 
• From now on, businesses that have incorporated 
artificial intelligence, machine learning performed 
comparatively well from those which did not opt such 
adoption.
Source: www.analyticsinsight.net
IMPROVED PRODUCTS AND 
SERVICES
• New products are designed based on consumer needs 
and expectations through the integration of AI and 
NLP. 
• This will help in raising revenues and increasing the 
income of the company.
Source: www.trustedexpert.io
CUSTOMISED CONVERSATION 
WITH CUSTOMER
• A very typical consumer characteristic is that 
wherever possible, they demand answers for their 
questions. 
• Owing to variations in time ranges, it is also not 
practical for human customer assistants to answer 
such questions. 
• AI-chatbots and conversational AI are now reducing 
the pressure on B2C businesses to provide their 
clients with 24*7 assistance.
Source: becominghuman.ai
UNDERSTANDING THE CONTEXT 
BEHIND CUSTOMER BEHAVIOUR
• It is important to consider consumer behaviour for 
every organisation to succeed. 
• Surveys, ratings and comments are common places 
where the context behind the reaction of the 
consumer is established. 
• The related knowledge on consumer preference can 
be collected and classified to show goods and services 
according to customer demand by integrating text 
analytics. 
Source: www.pinterest.com
MANAGING THE BACK 
OFFICE DATA WORK
• On a routine basis, the unstructured and organised 
data generated is huge and explosive. 
• Gaining information from this data allows the 
enterprise to better grasp the needs of the consumer 
and demand optimal performance for successful 
business. 
• This organised and unstructured knowledge can now 
be conveniently managed and tracked by 
downloading AI and ML algorithms.
Source: www.investopedia.com
MANAGING SUPPLY AND 
DEMAND CHAIN
• In market production and expansion, supply and 
demand play an integral role. 
• The data can be interpreted reliably by integrating 
predictive modelling, which aims to recognise the 
market for goods across various geographies and 
regions. 
• This allows companies to deliver goods on an ongoing 
basis without affecting business growth.
Source: Wikipedia
PREDICTING THE REVENUE
• In the context of a spreadsheet, AI-based solutions 
and ML-algorithms analyse the cumulative data on 
various goods and categorise them according to the 
number of transactions and the sum of revenue. 
• Based on this, businesses can understand patterns, 
correlate sales and income, evaluate the variables 
underlying sales volatility, and forecast a given 
quarter's cash flow and revenue.
Source: www.truesky.com