Our client is an established international IT/software development firm of Germany operational since last three decades. They came to us seeking our assistance in creating a CRM and Campaign Management System suitable for Retail. They run online and offline retail business enterprises and required a solution that would provide them insights about their customers and product marketing across all channels.
The client wanted to develop a –
The client was in the need of a solution to mine their clients and gain information to be used in tracking and marketing to the clients across various points of contact.
There was a need to process streaming big data in big volumes that intended to target high accuracy of the marketing strategies.
The client had to develop a marketing automation and campaign management system based on the client’s established standardized back end (database + ETL).
The system should be able to incorporate complex image processing and display capabilities along with the ability to contain multiple applications within a single site.
We developed a web-based CRM solution that was integrated with the client's existing system. We ensure the compatibility of the solution to the best of our ability.
The developed solutions were based on SaaS architecture. This means the platform is easily accessible and scaled depending on your business needs.
We implemented a solution by including a meta-driven GUI that would allow the admins to manage tenant-based attributes for further customization.
The platform's advantages include compatibility with other services and APIs, such as Inxmail and IQ-Sales, which provide increased adaptability and accurate targeting.
With the assistance of Retail CRM development, the company managed to become a leader in Europe as well as to introduce a powerful CRM platform designed especially for retailers and their clients.
It enabled them to generate, track, and optimize distinctive and tailored campaigns since it captured customers’ behavior patterns, which was their principal need.
The SaaS model was able to attract new customers, and provided the general population with multi-channel tasked and comprehensive data analysis.
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