Monday, 23 November 2020

Big Data Technology Helps Companies Understand Customers Better

Big data applications are ubiquitous now. Almost all websites and apps are tracking and recording user behavior for future analysis of user behavior. Big data technology includes data collection, sorting, analysis, and creation of user behavior patterns. Only in this way can big data be valuable to businesses. The development of big data applications lays the foundation for higher-level market research, product development, user acquisition, and marketing. 

The evolution and progress of big data technology

Collecting data is not a new concept. Earlier data is stored in in-house data storage units that require a large amount of physical space. These data are analyzed by RDBM and other database management systems and stored in the form of sequential tables and arrays. The current technology is no longer suitable for the data processing requirements. Huge data collected by new digital devices including computers, mobile devices, and the Internet of Things need to be optimized for further use. This has become a complex task.

With the emergence and gradual improvement of cloud technology, the storage and analysis of big data have changed. In the past, data collection and storage required a huge hardware system, which greatly increased costs and space, and restricted the further collection and sorting of data.   The cloud technology fundamentally solves this problem. In addition, cloud computing technology also makes data processing fast, accurate and simple. The use of cookies to collect data now doubles the number and functions of the collected data. By 2020, the global annual Internet traffic will reach 2.3 megabytes.

Smartphones enable geographic data synchronization, the development of new mobile apps, and the features of their geographic location have opened up the development of new dimensions of data.

This data includes data collected using mobile apps that track users. They enable business operations to enter new areas. These data can more effectively determine user behavior patterns. Location data can be used on Google Maps, travel websites and apps, and retail platforms, provide users with customized content to meet users' personalized needs.

Internet of Things devices promote the development of big data, and everything in our lives is digitizing. The various electrical appliances we use daily, such as TVs, washing machines, watches, fans, etc., are now smart devices that can be tracked. They are a huge source of user data, which is conducive to creating real-time behavior patterns. This is the key of big data analysis,  and these behaviors are widely used by companies.

Chatbots dominate the future of big data. Chatbots can communicate with multiple customers in real time, provide high customer participation and satisfaction, and can easily collect large amounts of data. Chatbots are becoming effective tool for many companies to collect big data.

Chatbots are increasingly used to analyze human mentality and recognize human emotions. In the process, they themselves become more intelligent. This mutually improved relationship, combined with artificial intelligence, can develop a user-centric and future-oriented system.


Mobile apps, social networks, web search, and Internet of Things devices are generating and collecting massive amounts of data at an unprecedented speed. The development of cloud technology, machine learning, artificial intelligence and other technologies will help companies process these big data in a few seconds, to help them make clear decisions, this will be the future trend of enterprises applying big data technology.

Source :

The Impact of Big Data In Business, Past and Future

Thursday, 29 October 2020

Examples of the data collection environments and use of analysis

Digital transformation has become one of the inevitable trends in business development. The core of digital transformation is data and analysis. Data can be used to better sell to customers, track their consumption habits, understand their pain points and gain insight into their purchasing decisions. For companies, it can also be used to improve processes, cut costs, increase productivity, and make decisions.

Data collection and analysis are collected through the use of information-collecting sensors and software, and then the analysis platform is used to analyze the information to identify trends. There is no one-size-fits-all solution for data and analysis. Different enterprises and different environments require different solutions. The development of an analysis strategy is to identify possible situations and customize them according to the organization.

Examples of the data collection environments and use of analysis

Conference room

The first application is a conference room, which is an ideal starting point for companies to implement data and analysis strategies. Through the data collection and analysis of the meeting room, the office space can be effectively integrated and fully utilized, and energy can be saved. You can also understand what kind of equipment employees like to use, and then use these equipment to effectively improve work efficiency. Without data collection and analysis capabilities, this information cannot be collected.

Manufacturing workshop

From the initial manual recording of data samples and entering them into a spreadsheet for analysis, to adding sensors and binding them to the data collection platform for analysis, time and effort can be saved.

In the pharmaceutical industry, data is essential to ensure maximum production capacity and maximum profitability, and process and quality compliance with FDA's strict requirements.

Shipping and Receiving

Transportation companies use GPS sensors in their vehicles, which scan cargo as they arrive and leave.

This allows the transportation company to understand all possible situations in real time. When a truck breakdown will delay the delivery, the transportation company can contact the customer to inform them in advance so that their customers can prepare for the delayed shipment. This is when a problem occurs, corresponding measures can be taken.

In addition, collecting this data can provide insights before problems arise. The real-time update of data can make the goods shipped to the destination faster, generate more revenue and reduce more cost savings.


Retail has become the best way to collect and analyze data.

Counting sensors can understand how many people are in the store and where they gather. Facial recognition software can be used to understand where people of a particular gender or age move in a store. This can help the company better set up the store, including ensuring that the right products are in the right locations.

Data collection and analysis of own company

For company operators, they need a set of data collection and analysis strategies tailored for their company. Company leaders can obtain information through data and corresponding graphs in order to make correct decisions.

This is the key to a smooth entry into digital transformation.

Source :

Thursday, 24 September 2020

The 5 Importance Of Chatbots In New Marketing Strategies

In 2016, Business Insider's report on the use of emerging technologies in business showed that many business decision makers will adopt chatbots by 2020.

Some recent data show that 67% of online visitors interact closely with chatbots, and 58% of companies using chatbots are B2B companies. These AI automated assistants can process most of the 2 billion pieces of information between companies and their customers.

The use of chatbots in enterprises has reached a certain scale and continues to increase. How can B2B marketers use artificial intelligence-based platforms to increase the return on investment (ROI) of their businesses?

1. Enhanced inbound marketing

The Internet makes the cost of advertising lower, and advertising floods the Internet. Customers become numb and disgusted with a large number of advertisements. They prefer to find products by themselves. They prefer this process and believe that meaningful and lasting partnerships can be established.

2. Delight customers with content-driven marketing strategy

On the one hand, this kind of information is ignored by customers or sent directly to spam. Traditional online marketing methods have failed. The new content-driven marketing strategy can please potential customers and further realize the transaction. What buyers like most is the professional information conveyed by the content. From obtaining professional information from the seller, to doing research, and determining solutions, they need to get the help of seller’s marketers, chatbots can automatically communicate with buyers at all stages and at any time. Chatbots rely on artificial intelligence technology to simulate human-to-human interaction.

3. Chatbots improve customer experience

With chatbots, there will be the feeling that marketers and salespeople are always present.
For potential customers whose purchasers are decision makers, they may need this information at any time during the day to make a decision. This is a challenge for any sellers, because they are either in time cost or labor cost. It is very difficult for marketers or salespeople to be present at all times. But the chatbot can answer any questions of potential customers in a timely manner.

4. Chatbot optimizes the buying process

Chatbots can identify who is more likely to become a customer of his company during the initial answering of the question, and filter out others.
Next, the chatbot can guide potential customers to read the seller’s company’s blog and watch videos before buying, so as to better understand their products, services, purchase procedures, after-sales service and other important issues.

These features of chatbots can help sellers improve their return on investment (ROI).

5. Add new sales channels

The sales channel has increased from the previous LinkedIn to the current Facebook. Not only does Facebook have a larger scale of usage, but its multiple tools can help establish B2B customers more effectively. The Facebook Messenger chatbot has unlimited possibilities for generating B2B potential customers. Marketers can

  • Collect data and follow up
  • Generate customer insights to help marketers guide potential customers
  • Provide brand interaction for potential customers
  • Promote content to different groups of people
  • Make simple transactions

Chatbot technology improves the return on business investment by enhancing lead generation and supporting other B2B marketing strategies.

It has changed the B2B marketing method and saved hundreds of millions of manpower and time costs. This trend is still developing.

Source :

Monday, 10 August 2020

The main reasons for the rapid development of the artificial intelligence revolution and its impact on business

Artificial intelligence is called the fourth industrial revolution, or intelligence revolution. Like the previous three industrial revolutions, it will change the world, and the impact of this revolution will be more far-reaching and significant.

The key to this revolution is that artificial intelligence can make intelligent machines including computers, robots, drones and other devices "think" like humans. This process is to obtain information from a large amount of data, edit, organize, summarize, calculate, and then make decisions based on the processed information and take actions.

The rapid development of artificial intelligence is based on two main reasons

The development of digitization worldwide has enabled humans to have more data than ever before. The more data that artificial intelligence can access, the more accurate the information it can interpret. Just like watching a video on YouTube, the more you watch it, the easier it is to recommend other content you like.

Advanced technologies such as cloud computing and distributed computing have made it possible for computing power to develop rapidly, processing and understanding all data, and human beings are storing, processing and analyzing data on an unprecedented scale. Without this, the data will be worthless.

Whether it is a small company or a multinational company, whether it is a traditional industry or a new type of industry, all will be affected by this intelligent revolution.

And its impact on business includes the entire process, from how to create the product, how to market it, and how to optimize operations. This is something that every company must reconsider, so that it is conducive to its own companies to establish a corresponding and reliable artificial intelligence strategy to ensure that artificial intelligence is used to create greater value.

Human beings can use artificial intelligence to enjoy the dividends brought by new technologies, on the other hand, they also need to actively defend artificial intelligence from being used in immoral or evil ways.

#Artificialintelligence #bigdata #cloudcomputing #business #enterprise #company #strategy #product #marketing #operation

Source :
What Is The Artificial Intelligence Revolution And Why Does It Matter To Your Business?

Thursday, 6 August 2020

Chatbots Will Become More Polite

The coronavirus pandemic has caused many brick-and-mortar stores around the world to close, but online services have shown a growing trend, which ensures that there is an urgent need to improve customer service quality.

The latest research has found that powerful and personalized online services are essential for building trust between consumers and companies. This is especially true in online chat functions.

The lack of social influence may be one of the reasons why the company’s online sales have not grown. The pandemic has new requirements for improving the quality of customer service. This means that many companies have turned to artificial intelligence (AI-based) chatbots to do so.

In today's era where customers want personalized communication with organizations, providing polite and social support to users can be a challenge.

Through the case of Microsoft’s Tay, people hope that the chatbot can fully understand the nuances of politeness. This not only means that chatbot can simply say "please" and "thank you", but also knows when to soften the tone of the sentence and make politeness become an indispensable part of chatbot technology in the future.

#Chatbot #customerservice #business #retail #ecommerce #onlinesales #customersupport

Source : 

Monday, 3 August 2020

AI Chatbot's E-commerce Functions, Problems and Future

The unprecedented increase in e-commerce transaction volume has created tremendous pressure on customer service and created many problems. The quality of customer service urgently needs to be improved, and more innovative solutions are needed. Chatbots are the first step. Chatbots need to become smarter to help e-commerce retailers solve complex customer service problems. This requires integrated artificial intelligence.

How can AI-driven conversational chatbots help e-commerce?

Help analyze and improve buyer loyalty
Achieve the best customer experience
Provide customer sentiment analysis

What are the current security challenges of chatbots?

Two main security challenges
Chatbots may constitute including cheating or impersonating others, tampering with data, and theft of data.
If the system is improperly maintained, poorly coded, lacking protection, or due to human error, it may become vulnerable.
In the past few years, the implementation of Chatbot has matured to overcome these security challenges.

Can chatbots replace humans?

A well-functioning chatbot can make the customer experience nearly perfect, so that it is difficult to distinguish between interacting with a chatbot and a person. However, chatting with human is still required in some cases. Artificial intelligence-driven chatbots will not only deal with customers, but will also promote communication within the organization in the near future. This type of chatbot will be very effective in carrying out various human resource activities in the future. For the e-commerce industry, this is very important. At present, artificial intelligence chatbots still cannot completely replace humans.

What is the future of AI conversational chatbots?

Compared with conventional chatbots, AI-driven conversation chatbots will promote customer engagement in the e-commerce field. It can change the process of interacting with customers, and customers no longer need to deal with the limited options provided by the original chatbot. More chatbots will work like Alexa and Google Assistant.

#ecommerce #reatil #customerservice #customerloyalty #customerexperience #chatbot #artificialintelligence

Source :

Chatbots and the Future of Intelligent Customer Engagement

Thursday, 2 July 2020

KejiMart FAQs

Thanks for reading our Blog post about FAQs, we move FAQs from website to here, it's easy for us to update and organize questions here.

Please read these frequently asked questions carefully, they will help you to better use our marketplace and work well with companies/freelancers.  


1. What is KejiMart, how does it work?
Kejimart is a small business tech marketplace which connects small companies and freelancers, business owners browse the selection of freelancers offering services, and to place orders in just one click. 

2. How do I register as a Seller/Buyer? One user sign up, you are both seller and buyer. There are two ways to register.

Fill out the short form with a password.

Sign in directly with your Google account.

For those who want to provide/look for services globally, we suggest you sign up with your Google account.   KejiMart Register

3. How many days should a project be done?
Sellers usually list their approximate days which finish a project, but that suppose there is one buyer. In many situations, one seller handles several projects at same time, buyers and sellers need to negotiate project development and revising days, this protects buyers and also helps sellers to arrange their time reasonably, we usually suggest finishing a project within 30 - 40 days which include development and revision. 

4. How to set up a project delivery date?
Buyers and Sellers negotiate the project delivering date first, then Buyers Hire for job, select Date and Time, the Time depends on Working Hours shown on Seller’s Ad page. Sellers would deliver projects before the Date and Time.


1. How do I set up billing information?
If you only work as a Buyer, follow this instruction. Sign Up an account, then in your account, click Profile > Setting > Credit cards to add your credit card. If you want to be both Buyer and Seller, please also check Seller - How do I take payments?

2. How do I get a refund if I’m not satisfied with the project/developer ?

Cancelling project would waste time for both parties. Please negotiate first with Sellers.

(1) Try to postpone the project delivering date and get partial refund, but finish the project in a new appointed delivering date. 
(2) If you keep cancelling and getting a refund, please contact us at, we will help to refund you.
(3) For refunding quickly, please follow the steps to start refunding.
Login to your account. Dashboard > Transactions > Seeker , click the small i sign (Transactions Details) on the left of Date. You may either take a screenshot and attach it to email us, or just write the content down to email us, which include Date, Orde Number, Service Title, Total, Seeker, Provider, Status.


1. What is the limitation for joining as Sellers?
For those who want to join as Sellers only, since we currently use Stripe to process payment, please check Stripe availability in your countries.  Stripe Global 

2. How do I take payment?
After signing up, you are required to connect to Stripe Connect account, with the connection, your payment will be transferred to your bank account.
Please check our Blog post to help you connect to Stripe Connect.

3. Why don't my services show up?
As we currently use Stripe to process payment. Sellers are required to connect to Stripe Connect account for processing your payment, your services won't show up until connecting to Stripe Connect.
Please check our Blog post to help you connect to Stripe Connect.

4. How do you charge commission ?
Currently we use Stripe Connect to process payment, Stripe charges 2.9% + $0.30 for each transaction. After deducting Stripe fee, we split the rest, we take 15%-16%, others will be transferred to you.

Big Data Technology Helps Companies Understand Customers Better

Big data applications are ubiquitous now. Almost all websites and apps are tracking and recording user behavior for future analysis of user ...