Zoho is one of the leading technology companies that has been making a lot of buzz in the industry for their investment in modern technology. Their innovative solutions are inclined towards making the work easier, better, and quicker for all sizes of businesses. Zoho Catalyst being a procode development platform has been gaining a lot of popularity among developers for its promising reliability, scalability, and secure infrastructure.

Zoho Catalyst, the simplest development platform empowers developers to build feature-rich, AI-powered applications by democratizing AI, ML, and other technologies to address broad custom development needs. With features like ML pipeline builders, AI-trained bot builders, and AI-powered microservices, Catalyst by Zoho ensures that developers can build applications that are not just ready, but are future-proof for the tech-savvy world.

Catalyst’s AI/ML Services and their use cases:

ZOHO Catalyst AI/ML

Catalyst by Zoho is one of the simplest pro-code, cloud development platforms. It provides a wide range of serverless, AI/ML, DevOps, and backend services. The powerful AI and ML capabilities empower the developers to tap into the endless potential of artificial intelligence. 

AL/ML Services on Catalyst

1. No-code ML with QuickML

QuickML helps you choose from a range of regression algorithms and classifications to create machine learning pipelines. Moreover, it lets you build, train, and deploy powerful machine-learning models to get predictive insights efficiently. It stands out from other ML platforms with its drag-and-drop visual interface. With easy data visualization enables even line-of-business users without any data science experience. The best thing is that there is no need to write any code which enables developers regardless of their ML proficiency, to easily create end-to-end ML pipelines. Here are some key features and use cases.

• Drag-and-drop pipeline builder.
• Train the models using classification and regression algorithms like AdaBoost, CatBoost, linear regressions, decision-tree algorithms, etc.
• Intuitive usage graphs that provide stage-wise execution details
• Import data from third-party sources like CRM or third-party services like AWS S3, Google Cloud Storage, Azure blob storage

2. AI-powered conversational bots

With Zoho’s ConvoKraft, you can build intelligent chatbots to deliver next-level interactive experiences by engaging customers with human-like flair. These chatbots are intact with Natural Language Understanding (NLU) and conversational abilities. ConvoKraft can perform various operations, such as interacting with your application’s users and responding to queries, performing actions, or fetching data. There are some more key features and use cases of ConvoKraft:

• It enables developers without AI expertise to build intelligent bots.
• Allows developers to easily integrate these chatbots with custom applications through APIs.
• Powers your bot to understand the user’s intent from the input messages and reply accurately.
• Extracts actionable data in a structured format from unstructured user input.

3. Ready to implement AI solutions in Zia Services

Zia services provides you with a host of ready-to-implement artificial intelligence-powered solutions that can improve the capabilities and scope of your application. How? Well, all you need to do is just implement SDK code templates in your application’s codebase or access the respective API endpoints. It is meant to cut down your hassle by implementing advanced AI-powered capabilities into your application with minimal effort. Below are some amazing features of Zia services:

• It has Face Analytics that you can use for facial detection in images, as well as advanced computational analysis on the detected faces.
• The Zia OCR component can be used to detect and recognize the textual content from images and documents in the app
• The Identity Scanner can perform secure identity checks on individuals, and validate proof of ID and documents.
• Image Moderation to ensure that the user-generated content in your application adheres to the required standards and guidelines.
• Barcode Scanner to let your end users scan universal barcodes and extract the information
• Auto ML lets even non-experts quickly build and trail production-ready ML models and implement them in your application.
• Text Analytics to perform sentiment analysis, NER, and keyword extraction in texts.

How can you implement these in your applications and business decision-making?

Choose the AI/ML service that suits your use case, such as QuickML for no-code pipeline building, or ConvoKraft for NLU-based bots and Zia Services for AI-powered features.

If you choose QuickML

• Add data from various sources, such as Zoho services, cloud storage, or local file system, and visualize it using charts and graphs.
• After that train, evaluate, and optimize your ML models using state-of-the-art algorithms and drag-and-drop pipeline builder. You can also monitor the resource usage and performance of your models using intuitive graphs and metrics.
• Once trained and optimized, deploy and serve your models using APIs and webhooks. You can also integrate your models with your applications using Catalyst SDKs and connectors.
• Last but not least, use your models to generate predictions, insights, and recommendations for your applications and business decision-making. You can also update and retrain your models as needed.

Use cases

With the help of these powerful services, companies/organizations have been driving immense business growth, bridging their supply gaps, and much more. Here, we have listed the use cases in which you can understand service profitable results.

Catalyst QuickML Use cases

Demand Forecasting– With QuickML, any business owner can easily predict a product’s demand in the upcoming months with the help of past data about market behaviour and patterns. This can help your business make data-backed decisions.

Prospect Identification– Another significant use case is Prospect Identification. Everyone wants to know who could be potential clients out of all visitors to their website. QuickML’s ML models can identify prospects based on their behavior, like web pages visited, session duration, clicks, and more, and delivers you the apt information.

Catalyst ConvoKraft Use cases

Customer engagement- Convokraft is designed to help you with customer engagement through 24/7 live chat. You can stay active for your customers round the clock. All you have to do is configure actions and answers. By doing this you can help the bot understand customer support issues, provide relevant information, or connect the customer with a human agent easily and effortlessly.

Automate booking- The other most useful use case of ConvoKraft is Automate bookings. For all the services that require pre-bookings or scheduling, Bot can easily take care of it. With the help of Catalyst Functions, the bot can understand user input to book appointments, check availability, and confirm reservations without any hassle.

Catalyst Zia Services Use cases

Parking management- With Zia Services components like Object Detection and OCR, you can build a smart parking management system for your employees that can detect the vehicles, identify the vehicle numbers, and allot a parking slot to your employees based on availability. 

Inventory management- Barcode Scanner and OCR from Zia Services can extract information such as the name of the product, when it is manufactured, and expiry date. This will help you manage the store inventory with ease, resulting in saving time and resources.