- Optimize dealer operations, drive sales, and scale effortlessly.
- Build a next-gen dealer management system with Catalyst
- Best practices
- Trusted by industry leaders and Fortune 500 companies
- Best practices for building with Catalyst
- The benefits of building a DMS with Catalyst
Build a next-gen dealer management system with Catalyst
End-to-end dealer lifecycle management:
Streamline operations with comprehensive features, including dealer onboarding, order and inventory management, sales analytics, dealer communication tools, warranty tracking, AI-driven forecasting, and mobile-friendly dashboards for real-time monitoring.
Catalyst in action: Automate the onboarding process with smart forms and workflows.
Use Functions to handle approval processes and Data Store to store dealer information securely.
# Example function to demonstrate role-based dealer onboarding logic
def handler(context: Context, basicIO: BasicIO, store: DataStore):
# Adjust and extend this code as per your production requirements
# Input data from request
dealer_data = basicIO.input
# User role from context (e.g., 'primary_dealer' or 'sub_dealer')
user_role = getattr(context.user, "role", "")
# Fields allowed per role
allowed_fields = {
"primary_dealer": ["name", "address", "annualRevenue", "contactEmail", "phoneNumber"],
"sub_dealer": ["contactEmail", "phoneNumber"]
}
# Filter data to only allowed fields for the role
filtered_data = {k: v for k, v in dealer_data.items() if k in allowed_fields.get(user_role, [])}
if user_role == "primary_dealer":
# Parse annualRevenue safely, default to 0 if invalid
try:
annual_revenue = float(filtered_data.get("annualRevenue", 0))
except (TypeError, ValueError):
annual_revenue = 0
# Insert dealer if revenue > 500K, else respond with pending
basicIO.write({"status": "Approved"} if annual_revenue > 500000 else
{"status": "Pending Review or Insufficient Permissions"})
if annual_revenue > 500000:
store.insert_row("Dealers", filtered_data)
return
# Fallback for unknown roles
basicIO.write({"status": "Pending Review or Insufficient Permissions"})
Advanced AI and predictive analytics
Integrate AI-driven insights to optimize sales, inventory, and dealer performance.
Empower your dealers with predictive analytics to make smarter decisions.
Catalyst in action: Use Zia AI for intelligent sales and inventory forecasting to predict demand and optimize inventory levels.
Deliver smarter, more accurate dealer recommendations.
Rapid customization
Accelerate your go-to-market strategy with pre-built components and templates. Quickly customize workflows, dashboards, and forms, without the headache of infrastructure management.
Imagine you’re building a DMS to handle onboarding, inventory, and performance tracking—all powered by Catalyst's AI, Functions, Data Store, and push notifications features.
Integrate with existing systems: Catalyst integrates easily with your ERP, CRM, and other backend systems, allowing for consistent, unified data flow across all business functions.
Real-time data synchronization:
Ensure that your dealer network stays in sync with up-to-date inventory and order information so you can accelerate decision-making.
Catalyst in action: Data Store provides real-time updates across dealer dashboards, inventory systems, and sales teams to enable seamless operations.
Scalable and flexible architecture:
Scale effortlessly as your dealer network grows using Catalyst’s flexible, cloud-native infrastructure.
Whether you're a small business or a global operation, Catalyst grows with you.
Catalyst in action: As your business expands internationally, use Zia to offer multi-language, multi-currency support for localized dealer management.
Customizable UIs
Design intuitive, branded interfaces that improve user experience for your dealers.
Tailor dashboards and reports to meet the unique needs of your network.
Workflow and process automation:
Automate crucial workflows like order management, payment processing, and dealer communication using Functions.
Enable your team to focus on more strategic initiatives by reducing manual overhead.
Best practices:
AI-driven dealer performance tracking and smart reporting :
Monitor dealer performance and create custom KPIs using Zia and Data Store. Track everything from sales growth to inventory turnover, providing valuable insights for continuous improvement. Easily build tailored, branded dashboards for your dealers to provide real-time insights into sales, performance, and inventory data. Use push notifications to alert dealers of important updates.
Multi-tier dealer management: Support a multi-tier dealer structure with customized workflows and permissions. Efficiently manage primary dealers, sub-dealers, and partners across various hierarchical levels.
Power your dealer network with smart AI and automation
Leverage AI-driven recommendations for inventory planning, sales forecasting, and dealer performance optimization. Automate order fulfillment, payment processing, and customer service workflows for maximum efficiency.
Catalyst components in action
Functions: Automate complex business logic, such as sales order processing, approvals, and custom workflows.
Data Store: Store dealer and inventory data securely, with real-time access for your network.
Zia AI: Integrate AI capabilities like predictive analytics to forecast sales and improve decision-making.
Push notifications: Send real-time alerts to dealers for inventory updates, orders, and customer communication.
Sending push notifications with Catalyst's Python SDK
def handler(context: Context, basicIO: BasicIO, store: DataStore):
# Example dealer data and user role
dealer_data = basicIO.input
user_role = getattr(context.user, "role", "")
# Push Notification service instance
push_service = Push()
# Prepare notification message
notification_title = "Dealer Update"
notification_message = "Your dealer profile has been updated successfully."
# Target user/device (this could be a user ID, device token, or topic)
# For example, get the dealer user ID from input or context
target_user_id = dealer_data.get("userId") or context.user.id
# Send the push notification
try:
response = push_service.send_notification(
to=[target_user_id],
title=notification_title,
message=notification_message,
data={"dealerId": dealer_data.get("id", "")} # optional custom data
)
basicIO.write({"status": "Notification sent", "response": response})
except Exception as e:
basicIO.write({"status": "Failed to send notification", "error": str(e)})
Trusted by industry leaders and Fortune 500 companies
"Our People Analytics team at Swiggy had been trying to build the 'unhappy employee' prediction model using contemporary Python scripts. However, the ML Ops was a big challenge. QuickML with its API capabilities helped us deploy the model overnight and then use the production data back in our data mart for interventions."
Daksh Sahni
People Analytics & Behavioural Sciences, Swiggy
"We (Deloitte) built the application in the development sandbox while deploying a stable version in production. Catalyst is one of the very few vendors to give separate environments. This helped us ship apps with less friction and more confidence. The platform is developer-friendly and one of the finest serverless products. Deployment was just one click—agile, yet so simple!"
Kumar, Amit N
Director of Data Science and Machine Learning, Deloitte
Best practices for building with Catalyst
| Area | Recommendation |
|---|---|
| Data modeling | Normalize dealer/tier data in related tables. |
| Functions | Keep pure business logic stateless for easy testing. |
| Security | Use role-based access with Catalyst’s authentication API. |
| Multi-tier management | Use Functions, the customize form, and data access for sub-dealers at the field level. |
The benefits of building a DMS with Catalyst
Whether you’re a system integrator (SI) or a business looking to build your own solution, Catalyst offers everything you need to create a scalable, customized DMS. SIs can leverage Catalyst’s flexibility to deliver tailored solutions that fit specific business needs, while enterprises can use the platform to improve operational efficiency, reduce costs, and enhance their dealer relationships.
Speed to market: Develop and deploy your DMS faster with Catalyst’s easy-to-use platform, minimal learning curve, and pre-built components.
Customizable and scalable: Build a solution that grows with your business, from small operations to global dealer networks.
End-to-end automation: Automate workflows, reporting, and inventory management for seamless operations.
AI and predictive insights: Empower your dealers with AI-driven analytics to help them make better decisions and stay ahead of market trends.
Global reach: Design a system with multi-language and multi-currency support for global dealer management.
Ready to transform your dealer operations and unlock the power of AI, automation, and scalability?
Start building your dealer management solution