Application of Artificial Intelligence in e-commerce
                     A P P L I C A T I O N  O F  
A R T I F I C I A L  
I N T E L L I G E N C E  I N      
 E - C O M M E R C E
Chatbots To Answer Customer Query 
 Most renowned e-commerce businesses have 
chatbots on thei r  websi te  to make the customer 
exper ience worthwhi le .  With chatbots in place,  once 
consumers v is i t  an eCommerce website ,  they' l l  be 
greeted with a pop-up quest ion on the screen 
ask ing,  ‘How can I  he lp? ’ .  
 They can then use th is  feature to ask re levant 
quest ions and get immediate responses f rom the AI-
programmed system. 
Source: ecommercefastlane.com
Generation Of Product Descriptions
 Product descr ipt ions g ive customers more 
informat ion about the product  and why they're  worth 
buying.  A wel l -wr i t ten one is  cr i t ical  to your 
business as i t  can act  as a shop ass istant  for  your 
customers.  
 I t  can confi rm whether the features of  the product 
they intend to purchase match what they're  looking 
for.
Source: ecommercefastlane.com
Handling And Processing Of Business Data 
 Apart from the many products  that  e-commerce 
websites se l l ,  they also have to deal  with and 
organize a lot  of  data dai ly.  This  includes managing 
your product  database and informat ion such as:   
 The total  sales per day  
 Purchases  
 Inventory leve l  
 Goods returned 
Source: ecommercefastlane.com
Privacy and Cybersecurity
 The eCommerce industry involves buying and 
sel l ing goods, with transactions occurring 
onl ine. While convenient, this can also attract 
hackers and cybercriminals. 
 When this happens, the sensit ive personal 
information of your customers could be stolen 
and leaked, which can put them at risk. This 
could also stain the reputation of your onl ine 
business and hurt your success. 
Source: ecommercefastlane.com
Sales Forecasting
 eCommerce businesses can predict and 
generate accurate forecasting of future sales 
and market trends using AI . This is possible 
through the use of the fol lowing:  
 Data analysis  
 Studying previous and current e-
commerce trends  
 Looking at historical  data 
Source: ecommercefastlane.com
After Sale Support 
 Apart from sel l ing qual i ty products and 
ensuring a smooth buying process, art ifi cial  
intel l igence has enabled eCommerce 
businesses to provide effi cient after-sale 
services to their customers. 
Source: ecommercefastlane.com
Filter Forged And Fake Reviews 
 I f  an eCommerce website has many negative 
comments, this can scare the customer away. 
There are occasions in which people with i l l  
motives forge these reviews to make the 
business lose i ts customers, reduce its sales 
volume, and operate at a loss.    
Source: ecommercefastlane.com
Voice Search 
 In today's modern era, voice assistants have 
become popular. People can use their voice to 
ask for relevant information on the internet, 
schedule a meeting, and even ask for the 
location of diff erent places.  
Source: ecommercefastlane.com
Giving Recommendations 
 Artifi cial  intel l igence can also be used to 
recommend products that you should buy. For 
instance, i f you're searching for a particular 
i tem on an eCommerce website, you' l l  be able 
to see other similar items to what you're 
looking for. 
Source: ecommercefastlane.com
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