QuickML: Making machine learning simple

The challenges of traditional ML

Machine learning (ML) is no longer a buzzword it’s a competitive advantage.Every day, businesses make countless decisions but without the right insights, even the best strategies can fall short. Machine learning helps turn data into smarter, faster decisions.

So, why are so many businesses still struggling to implement ML effectively?

Traditional ML development is complex, time consuming, and resource heavy. It requires specialized skills, extensive data preparation, and coding expertise—barriers that prevent businesses from fully realizing ML’s potential.

Think of building an ML model like constructing a house.

• Data preparation: This is the foundation—cleaning and organizing data.

• Model development: This is the blueprint—choosing right pre-processing steps and right algorithms suited for the usecase.

• Deployment and integration: This is the final step—operationalizing ML for real-time business impact.

In a conventional setup, this process can take weeks. Companies face:

• High technical barriers: Complex coding, statistical expertise, and ML frameworks

• Lengthy data preparation: Tedious cleaning, transformation, and feature engineering

• Deployment challenges: MLOps bottlenecks delaying real-world impact

Unless you have a team of data scientists, it can feel overwhelming.

How QuickML accelerates ML adoption for business

QuickML is the ultimate ML platform, enabling businesses to build advanced ML solutions without the usual complexity.

• Effortless data integration: Connect seamlessly with Zoho CRM, Zoho Analytics, and external cloud platforms and databases.

• No-code, drag-and-drop interface: Build end-to-end ML models without writing a single line of code.

• Automated data analysis: Instantly uncover trends and insights.

• One-click model deployment: Deploy ML models with a REST API for real-time predictions.

Advanced flexibility with Custom Code (Early Access)

For teams that need deeper control, QuickML introduces Custom Code operations, enabling developers to insert their own logic into the model training process using Python class-based templates.

Custom ML Transformation

Perform feature engineering tasks tailored to your use case, such as missing value imputation, encoding, and normalization. This uses a fit() method to learn parameters from training data and a transform() method to apply those parameters during prediction. Both methods accept and return a DataFrame.

Custom Algorithm

The returned metrics are displayed in the model details page for performance analysis.

Supported Python libraries

Custom Code supports imports from libraries including:

NumPy, SciPy, Pandas, XGBoost, CatBoost, LightGBM, Scikit-learn, TensorFlow, Statsmodels, Transformers, Hugging Face Hub, Sentence Transformers, Imbalanced-learn, Hyperopt, SHAP, LIME, PMDARIMA, LightFM, LibRecommender, subseq, tld, tldextract, and patsy.

Seamless pipeline integration

Custom Code operations are part of the QuickML pipeline, allowing custom logic to be integrated into different stages of the machine learning lifecycle through predefined template classes.

For example, if a bank wanted to predict which clients would subscribe to a term deposit, they could upload their dataset, analyze it, build the model, and deploy it—all in one day. Normally, this would take a week or more, but QuickML supports all kinds of ML tasks, from classification to clustering, making it the perfect tool for data problems

This diagram showcases the end-to-end QuickML workflow, where users can seamlessly upload datasets, analyze data with automated insights, and build ML models using an intuitive drag-and-drop interface. It highlights integrations with Zoho CRM, Zoho Analytics, and cloud storages and databases culminating in one-click model deployment for real-time predictions.

Why businesses choose QuickML

Unlike traditional ML tools, QuickML is designed for business agility and impact:

• No-code simplicity: Simplify ML adoption across teams.

• Faster time-to-value: Deploy ML models in hours, not weeks.

• Scalability: Handle massive datasets effortlessly.

• Actionable insights: Use real-time predictive analytics for smarter decision-making.

The future of ML: Accessible for everyone

ML is no longer just for tech wizards—with tools like QuickML, it’s becoming as common and user-friendly as spreadsheets.

QuickML is leading this change, making machine learning not just possible but practical for everyone.

Real-world success: Swiggy’s workforce analytics transformation

Swiggy, India’s leading food delivery platform, wanted to predict employee dissatisfaction to proactively address workforce engagement. Their People Analytics team faced challenges deploying traditional Python-based models due to MLOps constraints. Traditionally, this kind of project involved complicated Python scripts and was difficult to deploy, especially since MLOps wasn’t Swiggy's strength. That’s where QuickML stepped in.

QuickML enabled Swiggy to deploy their prediction model overnight, cutting weeks of manual effort, and integrate insights directly into their data mart, facilitating proactive HR interventions.

The result? Smarter intervention strategies and improved workforce management—all without a team of data scientists. With QuickML, Swiggy turned a long-standing bottleneck into a quick win overnight.

“Our People Analytics team at Swiggy had been trying to build the ‘unhappy employee’ prediction model using contemporary Python scripts and the like. However, the MLOps was a big challenge we were facing while deploying these solutions. QuickML, with its API capabilities, helped us deploy the model overnight and use the production data in our data mart for interventions.”

Daksh Sahni

General Manager, People Analytics and Behavioral Sciences, Swiggy

The latest innovations in QuickML

Create Pipeline Wizard—Smarter ML model development

Now, you can easily create and deploy different types of models using QuickML’s new Create Pipeline Wizard. This wizard simplifies the process, enabling you to build models like:

• Text analytics models: Automate sentiment analysis, content categorization, and customer support insights.

• Recommendation models: Personalize product recommendations using AI-driven analytics. Leverage collaborative filtering or content-based algorithms to suggest relevant products or content to users based on their preferences, behavior, and past interactions.

• Time series forecasting models: Predict future trends and outcomes based on historical data, making them perfect for demand forecasting, financial modeling, and inventory management.

• AutoML models: Automatically build and optimize machine learning models with minimal manual effort.

• Anomaly detection models: Identify unusual patterns or outliers in data, useful for fraud detection, monitoring, and risk analysis.

• Clustering models: Group similar data points together to discover hidden patterns and segments within datasets.

These powerful new modeling capabilities offer flexibility and ease of use, empowering you to quickly build solutions that solve real business problems.

What’s New in QuickML?

We're continuously improving QuickML to expand its Generative capabilities. Upcoming features include:

• LLM capabilities: QuickML makes it easy to use various large language models (LLMs) within a chat interface. Users can select different models based on their needs and get real-time responses.

• Vision models: Qwen 2.5 - 7B Vision Language - It is a 7-billion-parameter vision-language model that can understand both images and text. It’s designed for tasks like image captioning, visual question answering, and multimodal reasoning.

• QuickML now hosts the Qwen 3 – 30B A3B reasoning model, with additional language models from various providers in the pipeline

Power your business with QuickML

ML is no longer exclusive to data scientists. QuickML is making it accessible, practical, and results-driven for every business. Whether you’re optimizing customer experiences, streamlining operations, or forecasting demand, QuickML provides the intelligence you need—without the complexity.