Post by account_disabled on Feb 28, 2024 4:27:06 GMT
The implementation of a Fashion PLM (Product Lifecycle Management) is a multifaceted process, influenced by several factors ranging from the size of the company to the choice of the PLM solution. In this context, we invited our co-founder and CTO, Saulo Arruda, to share insights into the factors that impact implementation time. What can impact PLM implementation time? Company size and complexity: Larger, more complex companies generally require more time to implement a PLM system due to the length of processes and integration with other existing systems. Customizations and integrations: If the PLM solution needs to be customized to meet the company's specific needs or if integrations with other systems (such as ERP systems ) are required, this can lengthen implementation time. Enterprise readiness: The company's readiness to adopt the new solution plays a crucial role. If the team is not ready or there is not enough support from leadership, implementation may take longer. Team training: Successful implementation often requires adequate staff training. The time required to train users can affect the total duration of the project. PLM solution selection: The choice of the PLM solution itself can also impact implementation time. Some solutions are easier to implement and configure than others. And here's the caveat: Be careful not to hire a PDM, thinking it's a PLM.
In this article you will understand the difference Qatar Mobile Number List between PDM and PLM. Vendor Support: The support provided by the PLM solution provider is also an important factor. Good support can speed up problem resolution and make implementation easier. Implementation strategy: A well-planned strategy can speed up the process. This includes clear goal setting, efficient resource allocation, and effective communication. Given this variety of factors, it is difficult to provide a specific timeframe. Implementing a Fashion PLM can range from 3 to 18 months depending on the circumstances. Therefore, it is recommended to carry out a detailed analysis of the company's requirements and work closely with suppliers and PLM experts for the fashion market to develop a realistic schedule. What are the responsibilities of the tech team? When implementing a fashion PLM, I understand that the technology team works to support the business areas, focusing mainly on the following tasks: Ensure that the company's security policies are being complied with, especially with regard to integrations with internal systems. Provide support to business teams and uMode regarding business rules , especially when it comes to integration with ERP and e-commerce systems. Ensure that the minimum equipment and infrastructure requirements are in line with PLM needs, especially a good internet connection for good use of updated web systems and computers with compatible operating systems and browsers. Scale the server infrastructure required for integrations and monitor performance , especially at more critical moments such as the end of the collection or mass updates.
It is not mandatory, but many companies have a project manager reporting to the technology area. This normally facilitates conversations between the business and technology areas , in addition to keeping track of deadlines, especially when internal development is required by the company. Support PLM operation after implementation, helping the team identify potential errors and bottlenecks in the operation, acting to correct them as soon as possible in partnership with the uMode team. What data do I need to access? It depends a little on what level of maturity the company is at. To digitize the process (which is the first level) we will need to access all data related to product registration such as suppliers, materials, colors, categories, groups, departments, product attributes, among others. With this we will allow the PLM registration to have better quality and be more compatible when it is sent to an ERP and e-commerce system. At more advanced levels of maturity we will use sales history, purchase orders, service orders and stock to evaluate more advanced indicators such as ROI (Return on Investment) and Product Turnover to calculate the Product Score, helping to make more assertive decisions. . Product images are also a very important asset so that, with the use of artificial intelligence, we can obtain detailed product attributes, enriching the analysis and allowing better strategic decisions.