Unic Fitness-Check: PIM for Spryker Cloud Commerce OS

Motivation

In the digital competition for the sale of goods, good products alone are no longer enough. Potential customers inform themselves online at an early stage about potential providers who can solve their challenges good products and services. Your webshop or customer portal based on Spryker, which runs as PaaS on AWS, is one of the digital touchpoints that need to deliver information value regarding your products. National and international competition increasingly requires suitable digital product information - from technical information through to sustainable product data and digital assets for product use.

Your challenges

The product information that you need for your digital sales via your solutions based on Spryker Cloud Commerce OS does not meet the required brand quality? There can be various reasons for this: insufficient data concept on ERP side, inadequately configured information systems in PIM/DAM/MAM or processes in need of optimisation in data onboarding, data enrichment or data distribution to the sales channels.

Would you like to uncover the weak points in your digital product information landscape and identify potential solutions? Are you interested in increasing the competitiveness of your company with optimised product information?

With the Unic Fitness Check "PIM", we will find this potential for you and provide you with valuable ideas for optimisation of your product information management.

Our fitness check

As part of our fitness check, we examine your PIM and identify specific optimisation potential. In doing so on the following aspects:

• Analysing the article master data; you provide this to us as a structured file, e.g. in CSV, XML, JSON or XLSX
• Analysing the automation potential for the future avoidance of manual activities in data exchange and distribution- based on your current PIM process
• Review and optimisation of the (product) data model - also with regard to variant creation
• Automatic filling of attribute fields (e.g. from previously previously maintained free text fields or documents such as PDF, Word, Excel, etc.)
• Development of proposals for optimising the necessary data quality of the operational data using technical tools, such as the AI of OpenAI ChatGPT 4 or RegEx