10:00 – 10:30 Uhr
From Product Return Problem to Sales Magnet with PIM
Germany is European Champion – unfortunately not in soccer but in terms of product return rates in online retail. This is a problem for the environment and also the sales of many online retailers. The good news is: there is a simple solution to this problem – better product data quality. With PIM software, you can optimize the quality of your product data in a simple and automated manner, while also drastically reducing your return rates. David Klein will let you in on how this works in his session.
- Causes for high product return rates
- Product data quality as a crucial sales argument
- Measures for lowering the return rate
10:30 – 10:45 Uhr
Break
Time for tea & coffee
10:45 – 11:15 Uhr
The Power of Data: With High Product Data Quality towards Higher Sales
Is your data ready for the Digital Product Pass? Spoiler alert: mastering this challenge successfully and outpacing your competition – it all comes down to the quality of your product data. Why high product data quality is indispensable and to what extent your corporate success depends on your product data, this is what you will learn from Kai Warmus, Professional Sales Director for eggheads.
- What makes for good product data quality?
- For which of the current and future challenges is good product data indispensable?
- How can you improve your product data quality?
11:15 – 11:30 Uhr
Break
Time for tea & coffee
11:30 – 12:00 Uhr
Mastering PIM: Guidelines to the Successful Product Data Strategy
You want to have full control over your Product Data Management? Then you should not miss out on Walter Oberli’s session! The Digital Commerce and PIM expert from Digital Enthusiast GmbH shares proven strategies and battle-tested methods for the successful evaluation of a PIM system in this session – from the development of a product data strategy to the selection of the right technology and implementation partner.
- Developing a product data strategy
- Needs and requirements analysis
- Success factors for the implementation of a PIM evaluation
Sign up for productiva for free now