Censhare is a German based company, operating globally. They support hundreds of brands through their partner network. The censhare Digital Experience Platform pools all marketing and communications content within one information-centric system and a consistent user interface. Censhare is a collaboration tool containing DAM, PIM, Omnichannel CMS and MRM.
Active Globally
In business since 2001
Midmarket/Enterprise
Proprietary Software
SaaS and On Prem Solution
Java based solution
Customer Case: censhare - Optimizing Product and Content Management for ESA
About
ESA, founded in 1930, is a leading cooperative purchasing organization in the Swiss car and motor vehicle industry. With 90 years of experience, ESA serves around 7,000 co-owners, ensuring customer proximity and optimal cost-effectiveness. The company faces the challenge of managing 500,000 product data assets and meeting the demands of a dynamic market environment in a digitalized world.
Case description
ESA needed to update its product and content management system to improve the quality and use of its product information, ensuring efficient routing and outputs to various channels and touchpoints. Replacing the cumbersome PIM and outdated ERP systems simultaneously was a significant challenge, requiring foresighted planning and integration.
Action by Censhare
Censhare provided ESA with a holistic platform, addressing the need for agile data routing, content management, and Digital Asset Management (DAM). The interdisciplinary perspective allowed integration of data storage and management, involving administration, product management, sales, and marketing. Requirements were developed through workshops with active user participation, leading to investment security and commitment to the project.
Results
The Censhare platform met ESA’s broad requirements, streamlining data management, and distribution processes. ESA achieved faster, simpler, and more flexible processes, enabling them to offer unique shopping experiences to customers. The platform provided centralized structuring of product data, improved user acceptance, automated recurring tasks, and standardized interfaces for efficient data quality across various outputs.
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