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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!

September 07, 20249 minutesuserAnkit Kalathiya

Posts

Creating a Winning Sales Culture: Strategies to Motivate and Inspire Your Team

Creating a winning sales culture is essential to achieving success and achieving outstanding results. A motivated and motivated sales team can make a significant difference in meeting and exceeding goals. In this blog post, we'll explore effective strategies for creating a winning sales culture that fosters motivation, inspires your team members, and ultimately leads to exceptional sales performance.

Lead by example:

As a sales leader, it's important to set the tone for your team by leading by example. Show strong work ethic, enthusiasm, and positive attitude. Demonstrate your passion for sales and dedication to achieving goals. When your team sees your commitment and drive, it inspires them to follow suit.

Clearly define goals and expectations:

To motivate and inspire your sales team, they need a clear understanding of what is expected of them. Set Specific, Measurable, Attainable, Relevant, and Time-bound (SMART) goals.

Provide ongoing training and development:

Invest in ongoing training and development opportunities for your sales team. Equip them with the skills and knowledge they need to excel in their roles. Organize regular sales training sessions, workshops, and seminars to enhance their sales techniques, product knowledge, and customer engagement skills.

Promote a positive and supportive environment:

Create a positive and supportive work environment where team members feel valued, respected, and encouraged. Celebrate individual and team achievements, big or small, to boost morale. Encourage open communication, actively listen to your team's ideas and concerns, and provide constructive feedback.

Implement recognition and reward programs:

Recognition and rewards play an important role in motivating sales professionals. Implement a structured recognition program that acknowledges outstanding performance and achievement. Publicly celebrate individual and team successes, both within the sales team and across the organization, to create a sense of accomplishment and motivate others.

Provide regular feedback and coaching:

Regular feedback and coaching are critical in the growth and development of sales professionals. Provide coaching and mentoring opportunities to help team members develop their skills and reach their full potential. Regularly review performance metrics and offer actionable insights to improve efficiency.

July 17, 20232 minutesauthorAnkit Kalathiya
Exploring AI-Based Tools in Adobe Photoshop

Adobe Photoshop has long been the go-to software for graphic designers, offering powerful tools and endless creative possibilities. Photoshop has taken a huge step ahead with the use of artificial intelligence (AI) technology, allowing designers to improve their productivity, automate repetitive operations, and generate amazing outcomes more effectively than ever before. In this blog post, we will explore the AI-based tools in Adobe Photoshop that are revolutionizing the field of graphic design.

Generative Fill:

Generative Fill is an AI-powered tool in Adobe Photoshop that uses machine learning techniques to automatically create complicated and visually appealing patterns and textures. Generative Fill creates new designs using rich details, organic shapes, and appealing styles by analysing existing visual elements or utilising a set of established characteristics. This technology allows designers to quickly explore and experiment with an array of artistic possibilities without the need for manual design or complex work flows.

Open the image you want to manipulate in Photoshop beta. Use any selection tool to choose the specific area you want to apply the Generative Fill to. Click on the "Generative Fill" button located in the small toolbar that appears. In the prompt box, type your desired instructions for the tool or leave it blank. Once satisfied, click "Generate" to initiate the Generative Fill process. Wait for a few seconds to a few minutes, depending on the complexity of the prompt, as Generative Fill completes your request. The AI will provide you with three variations to choose from. Select the option you like best to apply it. The changes will be applied to a separate layer, preserving your original image on the base layer.

Content-Aware Fill:

One of the standout AI-powered features in Photoshop is Content-Aware Fill. This tool analyzes the content surrounding a selected area and automatically fills it in a way that seamlessly blends with the surrounding elements. Whether removing unwanted objects or extending backgrounds, Content-Aware Fill saves designers valuable time and effort by intelligently generating realistic replacements.

Select an object in your photo, go to Edit, and choose Content-Aware Fill. You’ll be able to refine your selection further and see a preview of how the fill is going to work. You can specify areas of the image Photoshop should use to fill in the background once it removes the object.

Neural Filters:

Neural Filters is a set of AI-powered filters in Photoshop that leverages machine learning algorithms to apply complex transformations to images. These filters enable designers to achieve artistic effects, retouch portraits, adjust facial expressions, and enhance details with just a few clicks. From the Style Transfer filter to the Smart Portrait filter, Neural Filters offer a wide range of creative options to elevate your designs.

To use them, go to Filter in the main navigation bar and then click on Neural Filters. You’ll be able to choose from a wide range of actions, such as adding depth to your images and smoothing the skin on people’s faces. Each filter comes with its own set of options, so you can tweak them to make them more or less aggressive, depending on what you want your final photo to look like.

Sky Replacement:

The Sky Replacement feature in Photoshop utilizes AI algorithms to automatically detect and replace the sky in an image while preserving other elements like foreground objects and lighting conditions. Designers can choose from a library of preloaded skies or add their own, transforming the mood and atmosphere of a scene in an instant. This tool simplifies the process of creating captivating visuals with dramatic sky effects.

Open an image, go to Edit, and then Sky Replacement to make alterations. You can drop in one of the program’s pre-sets or load your own, as well as tweak the sky’s temperature and brightness, and make adjustments to the foreground to help it match the lighting.

Select Subject and Object Selection:

Selecting intricate subjects or objects within an image can be a time-consuming task. Adobe Photoshop's AI-based Select Subject and Object Selection tools come to the rescue. These tools utilize advanced machine learning algorithms to intelligently identify and isolate subjects or objects, allowing designers to make precise selections quickly. This feature greatly enhances the efficiency of various design workflows, such as compositing and retouching.

Just go to Select and choose Subject to let Photoshop get to work. Even if it doesn’t pick out the subject exactly, it should give you a good starting point.

June 30, 20234 minutesauthorNency Dobariya
5 Proven Strategies to Boost Your Sales Revenue

Boosting sales revenue is a top priority for businesses seeking growth and success. In this blog post, we will explore five proven strategies that can significantly enhance your sales performance and help you achieve remarkable revenue results. Whether you're a sales manager, a business owner, or a sales professional, implementing these strategies can provide a competitive edge and drive your sales revenue to new heights.

Set Clear Sales Goals

Establishing clear and measurable sales goals is the foundation for success. Define specific targets for your team to strive towards, ensuring they are challenging yet achievable. This clarity will align everyone's efforts and provide a roadmap for success.

Focus on Targeted Prospecting

Identify your ideal customer profile and concentrate your efforts on reaching out to prospects who match that profile. This targeted approach will save time and resources while increasing the likelihood of converting leads into paying customers.

Develop Effective Sales Messaging

Clearly communicate the unique value proposition of your products or services, highlighting the benefits and solving pain points for potential customers.

Nurture Existing Customer Relationships

Don't overlook the importance of existing customers. Implement strategies to nurture and upsell to your current client base, such as personalized follow-ups, exclusive offers, and loyalty programs. Satisfied customers can become your most powerful brand advocates.

Embrace Continuous Improvement

Encourage a culture of continuous improvement within your sales team. Regularly review and analyze your sales processes, identify areas for optimization, and implement necessary changes. Embracing a growth mindset will help you stay ahead of the competition.

By implementing these five proven strategies, you can empower your sales team, drive revenue growth, and achieve outstanding sales results. Remember, consistency and perseverance are key. Stay committed to these strategies, adapt as needed, and watch your sales revenue soar to new heights.

June 17, 20231 minuteauthorAnkit Kalathiya
How to Set Application Fee or How to set Destination charges while using Stripe Connect ?

In our previous blog, we had seen how to integrate stripe connect. Now we are going to see how we can split payments to the application and vendor using stripe checkout.

Let's take a simple example :

The platform is "Shopify", Merchant (Who is selling products on Shopify) & Customer who is going to register with Shopify.

Now When a customer purchases a product with $1000, Now $10 will be considered as an application fee, which is going to transfer to the Platform Account and the rest amount $90 will be transferred to Merchant.

Create Session using Stripe Checkout

public function generationSession($data)
{
    $session = \Stripe\Checkout\Session::create([
        'payment_method_types' => ['card'],
        'customer_email'       => $data['email'],
        'line_items'           => [
            [
                'name'     => "item name here",
                'amount'   => floatval($data['amount']) * 100,
                'currency' => 'usd',
                'quantity' => '1',
            ],
        ],
        'client_reference_id'  => $data['reference_id'],
        'success_url'          => url('payment-success').'?session_id={CHECKOUT_SESSION_ID}',
        'cancel_url'           => url('failed-payment?error=payment_cancelled'),
        'payment_intent_data'  => [
            'application_fee_amount' => $data['application_fees'] * 100,
            'transfer_data'          => [
                'destination' => $data['user']->stripe_connect_id,
            ],
        ],
    ]);

    return $session;
}

It will return the session object return, later you can use the session id to redirect to stripe checkout.

Redirect to checkout using StripeJS

        fetch('/generate-sesssion', {
            method: 'POST',
        })
        .then(function(session) {
            return stripe.redirectToCheckout({ sessionId: session.id });
        });

Check the transaction from your Stripe Dashboard

Once you do the transaction successfully, you can verify whether the application fee is applied or not from your stripe dashboard.

Hope this tutorial helps you.

July 13, 20231 minuteauthorVishal Ribdiya
How to integrate Stripe Connect in Laravel / PHP ?

Stripe Connect is the fastest way to integrate payment into your marketplace.

In this tutorial we are going to integrate the stripe connect with Laravel.

To integrate the stripe connect you must need the stripe secret and the stripe key. You can get that credentials from your Stripe account.

So let's start integrating...

Installation

composer require srmklive/paypal:~2.0

Onboard the seller using Stripe connect

Define the route for onboarding the seller.

  Route::get('onboard-seller', [StripeController::class, 'onboard']);

Now on StripeController.php write the code for the onboarding link.

use Stripe\Stripe;
use Stripe\Account;
use App\Models\User;
use Stripe\AccountLink;

public function onBoard()
{
    $user = Auth::user();

    /** @var User $user */
    if (empty($user->stripe_on_boarding_completed_at)) {
        Stripe::setApiKey(stripeKey());

        if (empty($user->stripe_connect_id)) {
            /** @var Account $account */
            $account = Account::create([
                'type'         => 'express',
                'email'        => $user->email,
                'country'      => 'US',
                'capabilities' => [
                    'card_payments' => ['requested' => true],
                    'transfers'     => ['requested' => true],
                ],
                'settings'     => [
                    'payouts' => [
                        'schedule' => [
                            'interval' => 'manual',
                        ],
                    ],
                ],
            ]);

            $user->stripe_connect_id = $account->id;
            $user->save();
        }

        $user->fresh();

        $onBoardLink = AccountLink::create([
            'account'     => $user->stripe_connect_id,
            'refresh_url' => route('organization.dashboard'),
            'return_url'  => route('stripe.onboard-result', Crypt::encrypt($user->stripe_connect_id)),
            'type'        => 'account_onboarding',
        ]);

        return redirect($onBoardLink->url);
    }


    $loginLink = $this->stripeClient->accounts->createLoginLink($user->stripe_connect_id, []);

    return redirect($loginLink->url);
}

Please note that you have to generate routes for return and cancel URLs.

Once a merchant is successfully onboarded stripe will again redirect him to the return_url

Below you can find the code in which we managed the success callback.

public function onBoardResult($encodedToken)
{
    /** @var User $user */
    $user = User::whereStripeConnectId(Crypt::decrypt($encodedToken))->firstOrFail();

    $user->stripe_on_boarding_completed_at = Carbon::now();
    $user->save();

    return redirect(route('dashboard'));
}
July 13, 20231 minuteauthorVishal Ribdiya
Regression Testing Vs Retesting

In this article, We will see the difference between regression testing vs retesting.

The concepts of regression testing and retesting are generally confused within the field of test automation. They sound similar and they have correlations too.

The main difference is that regression testing is designed to test or verify for bugs you don’t expect to be there. Retesting is designed to test or verify for bugs you do expect to be there.

What is Regression Testing?

Regression testing is a type of software testing executed to check whether a code change has not critically disturbed the current functions & features of an application/software, what does it mean that the point of regression testing is to make sure that new updates or features added/release to software don’t break any previously released updates or features or functions.

What is Retesting?

Retesting is done to ensure that the bug is fixed and even if failed functionality is working fine or not, this is a kind of verification process followed in the testing field for the fixed bugs. Most of the testers having confused with Regression and Retesting.

Boost Customer Satisfaction, Find out Hidden Bugs In Your Software

Generally, testers find bugs while testing the software application or website and assign them to the developers to fix them. Then the developers fix the bug and assign it back to the testers/QA for verification. This continuous process is called Retesting.

Difference between Regression Testing and Retesting.

We could say that regression testing is a type of retesting. Retesting really means testing something again. And when we are regression testing, we are testing something that we have tested numerous times before.

But determining what the two have in common or similar might confuse more than it will help. So, for the well-being of clarity, below is an overview of the key differences.

Regression Testing Vs Retesting

Regression Testing Retesting
Regression Testing is carried out to establish whether a recent program or code change has not negatively affected existing features. Re-testing is carried out to establish the test cases that failed in the final execution are passing after the defects are fixed.
The purpose of Regression Testing is that new code fixes should not have any side effects on existing functionalities. Re-testing is performed on the basis of the defect fixes.
Regression Testing can be carried out parallel with Re-testing, based on the project and availability of resources. Retesting is carried out before regression testing because the priority of re-testing is higher than regression testing.
Defect verification is not part of regression testing. Defect verification is part of re-testing.
Regression testing is known as genetic testing. Re-testing is planned to test.
Regression testing is executed for passed test cases. Retesting is executed for failed test cases only.
Regression testing checks for unexpected side effects. Re-testing ensures that the original fault has been corrected.
Regression testing is only done when there are any modifications or fixes become mandatory in an existing project. Re-testing executes a defect with the same data in the same environment with different inputs with a new build.
We can do automation for regression testing; Manual testing could be time-consuming and expensive. We can’t automate the test cases for retesting.
Test cases for regression testing can be captured from the functional specification, user manuals and tutorials, and defect reports in regard to corrected problems. Test cases for retesting cannot be captured before starting testing.

Conclusion:

In case you are still confused, it may be easier to think of retesting as checking to see whether the bug actually fixed and regression testing as whether you created any new bugs with your fix. While you may identify regression issues during a retest, they are in fact separate and should be treated as distinct forms of testing.

June 01, 20233 minutesauthorVirendra Harkhani
Why Social Media Is Important for Business Marketing

Businesses can utilize social media as a potent tool to connect with their target audience, cultivate client connections, and increase revenue. In actuality, one of the best ways to expand your business and attract new clients is through social media marketing.

The following are a few advantages of social media marketing:

Reach a larger audience:

Due to the billions of users who are active on social media platforms, you have the opportunity to reach a larger audience than before.

Build relationships with customers:

This is a terrific method to get to know them better. To demonstrate to your clients that you are more than simply a company, you can publish updates, tales, and behind-the-scenes material.

Drive sales:

Social media may be used to promote your products or services, host contests, and giveaways, and generate leads, among other strategies.

You're losing out on a tremendous opportunity to expand your consumer base and build your business if you're not using social media marketing.

Here are some pointers for starting a social media marketing campaign: Choose the right platforms: Not all social media channels are made equal. Pick the social media channels where your target market is most active.

Produce high-quality content:

Your social media posts should be eye-catching, educational, and entertaining.

Be consistent:

Regularly provide new material to keep your audience interested.

Track your results:

To monitor your progress and determine what is and is not working, use social media analytics.

Social media marketing can be a terrific approach to attracting new clients, strengthening ties with current ones, and increasing revenue. A significant potential to expand your business is being lost if you aren't using social media marketing.

Here are some extra recommendations for successful social media marketing:

Tell the story of your brand through social media:

Post on social media about your business's background, goals, and values. Customers will be able to relate to your brand more deeply due to this.

Use social media to engage with customers:

Participate in conversations and respond to customer queries and comments. Customers will see that you care about what they have to say and are paying attention if you do this.

Use social media to promote your products or services:

Offer discounts and promotions while sharing images and videos of your goods and services.

Use social media to drive traffic to your website:

Encourage clients to visit your website to learn more about your goods or services by posting links on social media.

These pointers can help you use social media marketing to contact new clients, strengthen bonds with current ones, and increase revenue.

May 30, 20232 minutesauthorAnkit Kalathiya
Step by Step Mobile App Testing Process

What is Mobile App Testing?

Mobile app testing is the process of tests the functionality and usability of the mobile application to make sure that it meets the requirements and the application is ready for launch.

What are Mobile application testing requirements?

  • Resolutions of screen
  • OS Version (For android or iOS)
  • Orientation of Screen (landscape, portrait)
  • GPS On/Off
  • Type of application

Types of applications:

  • Mobile Web application:

In a mobile web application, the Website opens on the device with the help of the mobile browser. The Mobile web app does not require any installation.

  • Native application:

The native application is specifically developed for one platform (iOS, Windows 10 Mobile, Android)

  • Hybrid Application:

A hybrid application is the combination of a mobile web application and a native application. It can be defined as a mobile website content show in the application format.

Step by step Mobile App Testing Process

1. Planning:

Before start testing, we are required to planning what we have to test and for planning the test to analyse the requirements.

2. Testing Types Identification:

Before testing any mobile apps, we identify what testing is required to test the particular mobile app: functional, usability, compatibility, performance or security, etc. And also determine what functional requirements should be tested.

Identify what target devices to include:

  • Identify what devices the application will support;
  • Identify the earliest version of relevant operating systems will be supported;
  • Choosing different screen sizes.

3. Test Case and Script Design:

Make a test case document for each and every feature and functionality.

Make separate suites for manual test cases and automated test scripts as required. Make typical sets for manual test cases and automated test scripts. Define any reusable automation scripts and modify them as per the project requirements.

4. Environment Setup:

Download, install and configure the particular application on the different mobile devices to set up the testing environment. Before starting with the actual testing, make sure the test version of the application is established.

5. Manual and Automation Testing:

We are required to execute both manual and automation test cases.

You have already identified and created which tests and scripts to use. In this phase, you’ll actually run these on the basic functionalities to ensure that there are no bugs.

6. Usability Testing:

Usability testing purpose to uncover how much the product is easy to use, understandable, is it able to satisfy the user’s needs impressively. Usability testing is the way of how output can be used by users to reach specified goals.

7. UI Testing:

UI testing is one of the very important tests in mobile application testing.

Some characteristics that should be tested for every app:

1. Screen Resolutions:

Common screen resolutions are:

  • 640 × 480
  • 800 × 600
  • 1024 × 768
  • 1280 × 800
  • 1366 × 768
  • 1400 × 900
  • 1680 × 1050

Verification must be done starting from the smallest to the biggest resolution. If the application has a large list of cards with information, then those also need to be tested on a different resolution for their information wrapping.

2. Screen Size:

There are too many variations in screen sizes in smart devices especially.

Make sure the control size looks good, and the control is properly visible on the screen while testing.

8. Compatibility Testing:

Test the application with different browsers, mobile devices, screen resolutions, and OS versions as per the requirements.

9. Beta Testing:

When the regression testing is completed by the QA team, the build moves to User Acceptance Testing and this is done by the client. They make sure the application is bug-free and working as expected on every defined browser.

10. Performance Testing:

Performance Testing to the application using changing the different connections from 2G, 3G to WIFI, responsiveness, battery consumption, stability, etc.

Test the application to measure scalability and performance issues.

11. Localization Testing:

Localization Testing is used to test making a product, application, or document content adjustable to meet the cultural, lingual, and other requirements of a specific region or a locale.

12. Security Testing:

In Security Testing, ensure that the application is secure by validating SQL injection, data dumps, session hijacking, packet sniffing, and SSL.

13. Device Testing:

When a device is tested to ensure that it is working as expected.

Execute test cases and scripts in all the devices, in the cloud, and/or in physical devices in the lab or via testing tools.

Tips to test mobile application

  1. Learn the Whole app before going to the test.
  2. Remember, you are testing a mobile app and not a desktop or web application.
  3. Take into account the operating system and hardware specifications of the device which is you are testing.
  4. Test on real devices for better testing results.
  5. Use the mobile application testing tools that you are familiar with and do not use because of their popularity.
  6. Use cloud mobile testing.
  7. Mobile app testing with both portrait and landscape screen mode.
  8. Use Emulators and simulators whenever required.
  9. Verify the performance of the application.
  10. Do not automate everything.
  11. Get more accurate results using beta testing
  12. Time management for various testing activities.
May 05, 20234 minutesauthorVirendra Harkhani