“Catalyst integration enabled Livpure customers to obtain valuable real-time information about their products’ estimated delivery times. The delivery date range is displayed on the web page within three seconds of clicking on the ‘Check Availability’ button.”
The company - Livpure
With over 1 million happy customers, Livpure is one of the leading manufacturers in India. With over 10 years of research and customer satisfaction, Livpure operates in multiple categories under two business verticals–home appliances and sleep and wellness. Among the highly-diversified SAR group, Livpure sells water purifiers, appliances, water purifiers on subscription, mattresses, and smart home solutions.
The solution : Catalyst unifies
communication across the Livpure portal
With a clear vision for where they needed to go, Extension ERP picked and trusted Catalyst by Zoho as an all-in-one solution that could tackle the challenges faced and fit into their ecosystem. Livpure added a workflow that ensures the shipment will be allocated to the nearest warehouse. The powerful API gateway in Catalyst helped seamlessly integrate the existing website backend, OMS, and WMS in Catalyst.
Components of the project workflow
The Catalyst integration enabled Livpure customers to obtain valuable real-time information about their products. The delivery date range for both online and COD orders is displayed on the web page within three seconds of clicking on the “Check Availability” button. The project’s workflow includes:
Benefits and ROI
Livpure improved its customer fulfillment experience by communicating the estimated delivery data as precisely as possible through pin code-based identification of the nearest warehouse and serviceable areas. Now, customers are happy as the shipping delays and delivery disappointments have been reduced drastically.
Catalyst features Livpure found helpful:
- API Gateway
- Functions
- Data Store
API Gateway
Facilitated the easy integration with all the existing architecture.
Functions
Searches the complete database and selects the minimum number of days taken from all the warehouses present to all serviceable pin codes.
Data Store
Stores the number of days taken from all warehouses to all the serviceable pin codes.