Businesses are always looking for new ways to improve efficiency and promote smoother customer service. A relatively new trend that has become popular over the past several years is using ChatGPT, a next-level chatbot based on OpenAI's language models. ChatGPT humanizes responses with a chorus of text. Text responses are human-made personas. This often quickly revolutionizes how businesses interact with their customers.
Understanding the Role of ChatGPT in Business
So, let us start with the basics of ChatGPT before discussing how to customise it and what it can do for you. ChatGPT is a question answering language model that leverages the power of deep learning algorithms to craft human-like responses for addressing user queries. These models utilise a huge dataset of text from the internet to produce coherent and contextually related answers.
One of the most important strengths of ChatGPT is its ability to perform a diverse range of functions, such as responding to FAQs or giving suggestions. Businesses spanning a broader array of industries could utilise it in different ways thanks to its flexibility.
The Basics of ChatGPT
How does ChatGPT work with input and output? Users will type in their questions or ask the chatbot, and ChatGPT then replies with a suitable answer based on its understanding of all text. Usually facilitated by a chat interface built into a website or app.
ChatGPT's amazing ability to mimic human conversation often convinces users that they are talking to a real person. Human-like behaviour is made possible by a combination of pre-training on a wide range of text data and fine-tuning on specific custom datasets.
The Importance of Customization in Chatbots
Even though ChatGPT provides a powerful out-of-the-box solution, customization is an essential part of leveraging its full potential for business use. Adjusting the chatbot to your brand’s tone and specific needs is effective for improving customer satisfaction and making the human-computer interaction more personalised.
First, customization helps businesses in creating a chatbot that fits their brand needs. Over time, a chatbot is likely to communicate with hundreds or thousands of customers, and for a business, it is important to retain a high level of customer recognising the brand. A well-customised chatbot will speak with a customer using a language, tone, and style specific to a brand, and this will positively affect the customer recognition of a brand.
Second, customization is also highly useful for training ChatGPT to be a more competent assistant in a specific industry. For example, it can be trained on specific medical terms and how to respond to patients’ queries in the medical field. The same can be said about an e-commerce field: after customisation, an e-commerce chatbot will have a chance to provide a customer with more specific information, such as tailored product recommendations, based on their product-viewing history and preferences.
In conclusion, while customization is a time-consuming process, it can help to create a chatbot that is not a generic assistant, but a truly unique one. The benefits attached to this will be heard in the level of customer satisfaction, the level of efficiency, and business profitability.
The Process of Customizing ChatGPT
Customizing ChatGPT requires a systematic approach to prevent the situation where existing functionality is upset by new features before customisation is complete. We need to take a look at the various steps involved in configuring ChatGPT so that it can serve your specific needs:
Identifying Your Business Needs
Before embarking on the customization journey, it's crucial to identify your business objectives and how ChatGPT can help achieve them. Whether you aim to automate repetitive tasks, provide instant responses to customer queries, or foster engagement, having a clear understanding of your business needs sets the foundation for successful customization.
Moreover, conducting market research and analysing customer feedback can provide valuable insights into the type of interactions your audience expects. By understanding your target demographic and their preferences, you can tailor ChatGPT to deliver personalised and relevant responses, enhancing the overall user experience.
Tailoring ChatGPT to Your Business
The first step after defining your objectives is to customise ChatGPT to be relevant to your company and cater to its unique needs. To do so, you will need to provide the chatbot with training data appropriate to your sector and domain.
Utilising a custom dataset consisting of examples of contextually relevant questions and answers derived from your faculty and fine-tuning properties will aid in generating responses that are accurate and contextually relevant. Finally, the model’s capabilities should always be tested, and its performance should be refined over time.
You can also facilitate the flow of data and improve the chatbot’s functionality by connecting ChatGPT to your CRM system or other platforms. The AI model relies on data from a variety of sources to provide users with more personalised solutions and suggestions, which boosts customer satisfaction and results in repeat business.
Benefits of Using Custom ChatGPT
Custom ChatGPT has tons of benefits that can make it go a long way in improving your business operations and customer experience. Let’s discuss,
Enhancing Customer Service
Businesses that want to be successful have quality customer service or personalised functionality gates. ChatGPT can be tailor-made to understand what your customers are asking and answer them accordingly, thus optimising the support process and helping resolve issues faster.
Additionally, ChatGPTs capacity to handle a high number of concurrent conversations enables businesses to serve multiple customers at the same time, leading to an even faster response and, therefore, helping maintain greater customer satisfaction!
Say a customer has an intricate situation that needs minute-by-minute support. Not only does Custom ChatGPT know how to read the problem precisely, but it can also look for solutions piece by piece gratifying an enhanced customer service experience.
Streamlining Business Operations
With a Custom ChatGPT, internal operations can also turnaround as automating repetitive tasks and helping employees in their day-to-day jobs are some of the ways it can make an impact. By scheduling the appointment to give reports, these boring and tedious tasks can be done with ease from Chatbots freeing hours of workforce time so that your team can spend more energy on real work.
In addition to this, integrating ChatGPT with your CRM system means the chatbot can update you in real-time as customers interact and offer preferences or feedback. This kind of smooth integration helps various departments within an organization to manage data more efficiently and make better-informed decisions, ultimately leading to increased operational efficiency.
Potential Challenges and Solutions with Custom ChatGPT
The ability to customise ChatGPT is full of promise, however, there are limitations and hurdles that businesses should be mindful of as they start using it. Here, I will explain about two key issues along with their solutions,
Addressing Common Concerns
A typical fear with AI chatbots is that it can produce inaccurate outcomes which might lead to incorrect and misleading information. In order to offset this, businesses should establish sufficient testing coverage so as to approve the replies provided by ChatGPT. Monitoring, feedback loops and the escalation process are designed so that anything there is out of spec can be identified in near real time.
Reliability and accuracy of the answers that are given by AI chatbots is an essential thing to consider both for maintaining trust with customers keeping their satisfaction level high. This directly improves the responses ability which in turn making it more relevant to the new situation being discussed, for a business that employs chatbot developers and having them actively manage by continually updating training data gets better performance out of their chatbots. Also, a human-in-the-loop mechanism that allows the interference of manpower is also an additional layer for ensuring data quality.
Overcoming Implementation Hurdles
Although challenging, it is possible to roll out a custom version of ChatGPT by businesses that have little or no experience in AI implementations. That said, it becomes far easier to implement when working alongside established AI solution providers. These specialists can walk you through implementation and customization, provide the necessary training to your team to utilize it effectively, and constant support for managing change.
In addition, doing the proper research and analysis of your unique business needs prior to jumping into customization ensures as smooth a process as possible and avoids unnecessary roadblocks along way. When you work hand in glove with the AI-solution provider to set specific goals, develop KPIs and lay out a clear path it makes sure that whatever customization effort has been done is perfectly aligned with your business objectives.
Future Trends in Chatbot Technology
The evolution of chatbot technology continues to shape the future of customer interactions. Here are two trends that are expected to drive the development of custom ChatGPT:
AI and Machine Learning in Chatbots
The utilisation of AI and machine learning in chatbots renders them with the ability to learn from user interactions and become personalised over time. This journey of learning from transactions helps in enhancing the accuracy and responsiveness of your chatbot, thereby turning into a more dependable tool for businesses.
The Future of Custom ChatGPT in Business
With the development of technology, every successful business may profit significantly from using custom ChatGPT. No matter if it is used for creating unique marketing campaigns or more efficient support systems, it is apparent that the tool will help businesses interact with their customers better and, in some cases, be the defining factor of success.
Over the next several years, demand for chatbots such as with ChatGPT are expected to soar even higher, given an increasing portion of shopping and socialisation now occurs online. The world is coming to think of chatbots with AI and machine learning that can provide real-time personalised responses to customers on the GO from businesses.
Custom ChatGPT is far more than just the future of customer service. Modern healthcare, education, and plenty of other industries are now actively using chatbots to improve the efficiency of services, organise information in more digestible ways, and simply create exciting user experiences. This tool’s flexibility and adaptability will allow it to take the leading positions in numerous fields and adapt to the new requirements demanded by these industries.
Would you like to be among the first to try this innovation? Then try InfyGPT today!
However advanced automation testing may get, we can't live without manual testing. Because not everything can be and should be, tested with code. There is a certain level of human interference required.
Here's how to be great at manual testing:
Understand the product which you are going to test
Before you begin testing any app/website, you should know the concepts of the product, what problems the product solves and how are users going to use it.
Here the steps to rectify the concept of product
Identifying customer needs.
Defining the problem and objectives.
Drafting and analysis.
Ask for detailed design and drawings.
Testing.
Final successful delivery.
Have a clear understanding of requirements
‘’First how we know to understand the requirements here the steps mentioned below’’
There are mainly two types of requirements: 1. Functional 2. Non-functional
What are Functional Requirements?
Functional requirements define the basic system behavior. Essentially, they are what the system does or must not do, and can be thought of in terms of how the system responds to inputs. Functional requirements usually define if/then behaviors and include calculations, data input, and business processes.
What are the Non-Functional Requirements?
While functional requirements define what the system does or must not do,
non-functional requirements specify how the system should do it. Non-functional requirements do not affect the basic functionality of the system Even if the non-functional requirements are not met.
the system will still perform its basic purpose.
Changelog and Impacting Area
Ask the developer of changelog detailing & made the product changes which are listing the impact areas
This will help to customize or change the task from the bug
This will give ease to know the bug
It will give a glance at the task and the flow in which it is working
This will help you prioritize where to look for potential bugs
Test Scenario and Cases
Write down test scenario/cases in Excel for easy reference
Understand the Learners: To write concrete and effective scenarios you must understand your learners and know their needs and expectations.
Create Real Life and Relevant Situations: Make your scenarios as real as possible.
Motivate the Learner: A well-written scenario should motivate the learner to action.
‘’How to write the test cases’’
Title Must be strong
Include a Strong Description with Assumptions & Preconditions
Keep the Test Steps Clear and Concise
The result must be Expected
Also, Make is Reusable
Critical Flows
Check the product critical flows & code impacted flows twice
This will ensure, that in case something goes wrong in production, it would be any business-critical flows
Reason to do: for uncertain changes of code, some regression will occur in code, if we didn't check & deployed in the server.to rid the problem in the product needs to check the critical flow twice.
Don't test along with the developer
If you test with the developer, you may miss out on edge cases due to the developer's bias or perspective. So make sure you test the app/website once while the developer is not with you.
If in doubt, ask the Developer or Product Lead
It always helps to communicate any doubt that you have
As the perspective varies and as well as a method so in case of any doubt ask the developer and correct it.
Also communicate with the product lead in case of doubt so the better output can be generated of the task with minimal bugs and well-defined task
Livewire is a very awesome thing that I have ever seen, the old school developers are still using the jquery and ajax concept to not refresh the page. But forget the jquery and ajax stuff. If you are good at PHP then you can do the same with Laravel Livewire.
Wait what?
Load dynamic data on the page without using ajax? Yes, it is possible with Laravel Livewire. So that is all about laravel livewire, and in this tutorial, we will see how to build laravel pagination with laravel livewire.
Let's start and I hope you have already set up the livewire. Let's say you already have created a component named UsersListing Now in the users listing, we want to paginate all users and we will list 10 records per page.
How to use pagination with Laravel Livewire
Livewire provides a trait called WithPagination and you have to add it into your component UsersListing. Check out the following code:
use Livewire\WithPagination;
use Livewire\Component;
class UsersListing extends Component
{
use WithPagination;
public function render()
{
return view('livewire.users.index', [ 'users' => User::paginate(10), ]);
}
}
And to load pagination you have to add the following code:
@foreach ($users as $user) ...
@endforeach {{ $users->links() }}
That's it, and your laravel pagination now works like charm without page refresh. There is much more about pagination like how to use it with a custom view, how to use it with a custom theme. We will see it in our next tutorial, until then enjoy the code
Increasing customer loyalty is a requirement of any organization. If a recurring project is found, the organization develops. Do not require to generate new leads. The cycle of the company runs from the existing customer and scales the company.
1. Keep in touch
Keep in touch with each client every few months to make sure everything goes smoothly. During a class or meeting, ask about your client's challenges. Issues you can resolve. They are more likely to turn to you when they need you.
2. Create high-quality software
One of the best ways to keep customers coming back is to always develop high-quality software. You can do this by meeting the expectations of your customers and also by making sure that they are satisfied with your work. Help your customers save money and get rid of waste, ultimately deliver huge profits for them, and possibly do more business for you.
3. Listen carefully when your customers are speaking to you
Try to give your customers your undivided attention. Multi-tasking is often. When customers are in front of you, make eye contact.
4. Collaborate with clients
To ensure quality in the software you develop and keep your customers happy, you should encourage collaboration with your clients. Meet with them and ask questions so you can fully understand use cases for the software you are developing. Bring new ideas to make suggestions on how to make improvements.
5. Demonstrate time management skills
Tracking time is also key to the success of a project, you should be able to provide detailed reports to your clients for the time spent on their particular projects. They’ll be more likely to hire you again if they see you’re organized and working efficiently.
6. Keep your promises to your customers
When you tell your customer you are going to do something, follow-up as quickly as possible. Given the time frames and honor them.
7. Don’t waste your customers’ time
Everyone is busy. Complicated voice mail systems, making customers repeat their service requests more than once and un-knowledgeable employees are some major time-wasters. A customer’s time is as important as your time!
8. Ask your customers what they want
Constantly ask your customers what you can do for them and how you can do it better. They want extended hours, academic classes, or the ability to talk to the manager. After you ask, try to give them what they want and keep them informed of the process along the way.
The OneSingnal is the market leader in push notification providers. It provides mobile + web push, email & in-app messages, and an easy way to send notifications. OneSignal provides official core PHP APIs but not the Laravel package. We are using OneSignal in many projects and write a bunch of line code in all projects where we needed OneSingnal.
One day I had an idea in my mind why I should not write a Laravel wrapper for OneSignal?. Finally, I wrote the shailesh-ladumor/one-signal Laravel Wrapper for it. Using this package, we can write neat & clean code and just a few lines of code.
OneSignal add this package in his official docs here
You can watch the following video tutorial or follow the article.
This package also works with the previous Laravel version.
Today we are going to see how we can use Laravel OneSignal Wrapper in Laravel. Let's see step by step, how we can do that.
Spet 1: Install Packages
Install shailesh-ladumor/one-signal by the following command,
ONE_SIGNAL_APP_ID=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
ONE_SIGNAL_AUTHORIZE=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX X
ONE_SIGNAL_AUTH_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ONE_SIGNAL_AUTH_KEY is optional if you do not want to create an app. I hope you are familiar with the One Signal Platform and know how to get APP_ID and AUTHORIZE. If not, you should see the below image for how to get it.
So, we are done. Let's check how to send push notifications.
Check out this code to send a push notification.
use Ladumor\OneSignal\OneSignal;
$fields['include_player_ids'] = ['xxxxxxxx-xxxx-xxx-xxxx-yyyyy']
$message = 'hey!! This is a test push.!' OneSignal::sendPush($fields, $message);
Recently, the Laravel team announced a Laravel Fortify. A framework agnostic authentication backend for Laravel applications. It provides registration, authentication along with two-factor authentication.
As said above, it is framework agnostic, so it doesn't provide any blade views with it. You can implement views of your choice of the frontend. Blade, Vue, React with Bootstrap or TailwindCSS, or any other CSS framework.
Today we are going to see how we can use Laravel Fortify with one of the most popular Bootstrap 4 theme AdminLTE
v3.
We can actually do that in minutes with the package that we already developed called Laravel UI
AdminLTE
This command will publish all required actions in the app/Actions directory along with the Fortify configuration file and migration for two-factor authentication.
Recently in one of our client's projects, we want to load the count of relation in laravel. But we do not want to retrieve original records.
For example,
We have the following Models,
Category
Products
Orders
For that, we have categories, products, orders, order_items table. Where in the order_items table, we got the following fields
order_id
product_id
quantity
So the requirement was, In the Products table, we want to display the total number of orders placed with that item regardless of the quantity in each order. All we need is a number of orders where the product is purchased.
But the problem with this approach was, we are firing queries to the database for every single product. so if I'm retrieving 100 Products from the database then it will fire 100 additional queries to the database. Imagine if we have thousands of products.
2nd way: Eager Load Relationship and Calculate Count
so this way, we are only firing two queries to the database. But the problem here is, we are loading all the Orders of each product which we don't need at all. so it will consume lots of memory since we are loading lots of orders. so imaging if we retrieve 100 products, and each product has 10 orders, then we are loading 1000 Orders into memory without any need.
3rd way: Use withCount function
The third powerful approach of using withCount function in Laravel. so we refactored our code like,
Lots of people ask me frequently, "Which are the laravel packages that you use in almost all projects?" when we meet in Meetup or any other events regardless of its online or physical events.
Let me describe today some of the packages that we almost use in all of the projects.
We have been working in Laravel for almost 7+ years and in these years we have used lots of packages, some from the community and some of our own.
I am categorizing these into 2 categories.
Most used packages
Common Need/Functionality specific packages
Most used packages
These are the packages which must be included in all of our projects. No Excuses.
barryvdh/laravel-ide-helper
Laravel exposes a lot of magic methods and properties. IDE Helper is a very good package when it comes to auto-complete those properties and methods. Even it does an amazing job while refactoring properties or methods of the model.
barryvdh/laravel-debugbar
The second one is from the same author, debugbar helps to debug the request in terms of the number of queries fired, time taken by each query, number models retrieved from db, time taken by each request, and much more.
imanghafoori/laravel-microscope
Laravel Microscope improves the readability of your code. Early returns, unnecessary else statements, and many more. so your code looks clean and efficient in terms of execution as well.
beyondcode/laravel-query-detector
One of the problems that we face is, missing eager loading. In ongoing development, sometimes we add relationships objects in the loops, and then laravel fires tons of queries to the database. Laravel Query Detector detects that and gives a warning while developing the environment.
InfyOmLabs/laravel-generator
No application can be ever built without a few CRUDs. CRUDs are essential in almost all web applications. Also, APIs of CRUDs are essential while building a backend for Mobile or Frontend apps. Laravel Generator is our own developed package that we use in all of the applications to make the CRUD building process faster. It can be used with two themes right now, AdminLTE and CoreUI. But it's also frontend framework agnostic.
Common Need/Functionality specific packages
These are the packages that are used when we particularly need that kind of functionality in the application.
