CASE STUDIES

A brief overview on some of the successful implementations and future use cases of technology in different industry segments

Custom Mulesoft Application for Mapping Multiple 3rd Party Logistic Providers (3PL) to Multiple E-Commerce Storefronts

How Incepta helped map multiple 3PL providers to multiple storefronts for a leading Global Beverage Manufacturing Company in the US through custom Mulesoft Application

Ready. Set. Integrate.

How Incepta helped develop a Technology Driven Cannabis Selling Platform with Mulesoft API led Connectivity

Incepta’s expertise in MuleSoft’s API and integration solutions makes it easy for businesses to develop an API strategy for connecting external cloud based systems and their legacy systems. The following case study demonstrates how Incepta using the Mulesoft Anypoint Platform for APIs helped design a Cannabis selling platform connecting several systems and platforms securely helping the organization develop a robust, seamless, secure and traceable selling and distribution mechanism.

A Case Study on how Incepta Designed a Comprehensive Data Integration and Management Strategy for a Leading Global Company with over 50+ Brands

Incepta helped plan and develop a 360 degree data management and reporting strategy for a global company which had more than 50 brands under their belt. The strategy included building a complete data warehousing solution, an ETL strategy powered by Informatica along with Business Intelligence and Data Analytics powered by Oracle BI and Microsoft Power BI.

e-Health RMS Project - Developing an automated Reminder Management System for the Healthcare Industry

Incepta helped develop an automated Reminder Management system for a leading healthcare provider in Canada. The system plugs into the exiting Appointment Scheduling application and makes automated calls to patients via cloud based IVR system, tracks the responses and updates the appointment system with the data received.
The call process is repeated for patients from whom no response has been received or has made an invalid selection. The data is updated back into the appointment scheduler system. This process goes on till all data is synced and up-to-date or a new batch of appointments are received.