Implementing MRP software can feel overwhelming, but when done right, it can transform your manufacturing operations. Like most things in life, a little forethought and planning can ensure a higher likelihood of success. These 4 simple considerations are where to start:

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1. Set clear goals to anchor your implementation 
2. Involve all your experts
3. Data architecture and accuracy
4. Have an MVP approach

Set Clear Goals

To ensure a smooth transition, start with clear goals. Know what you want the software to achieve—whether it's better inventory management (10% reduction in scrap rate) or optimized scheduling (increase on-time delivery by 5%). You sought out a software solution to solve specific problems. Focus your goals for implementation on these few top priorities to start. It is easy to get distracted by all the features of a new system and lose sight of why you sought a solution. Use these goals as a way to set the scope for your implementation.

Involve Your Experts

Next, prepare your team. A new system means new workflows, so train your staff early. Involve key team members in the implementation process to avoid rework or resistance later. Clearly communicate the benefits of the new system and how it will improve their daily tasks. Provide comprehensive training sessions, ensuring they understand both the software and how it fits into your operations. Designate team members as "software champions" to help others with the transition. Encourage feedback throughout the process to address concerns and foster a sense of ownership. Lastly, offer continuous support post-launch to ensure a smooth adjustment to the new workflows.

Data Architecture & Accuracy

Data is king, so spend some time understanding and designing the system to track current KPIs. You want to ensure an apples-to-apples comparison with historical data on these metrics wherever possible or document what has changed when the cutover occurs.

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Then, think about questions you want to answer or current gaps in operational data you want to visibility into. The system and data flows can help you grow or mature your business analytics capabilities.

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Lastly, your current data must be clean (inventory levels, supplier lists, production timelines) before migrating it to the new system. Messy data leads to bad outputs, and nobody wants that.

MVP Approach

Scope creep and prolonged implementation timelines are the norm if not properly managed. By having clear goals, you can help define a minimum viable product (MVP) that needs to be achieved to go live. All other system features and capabilities are deemed a later phase of adoption. 

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Run pilot projects to see how well the software integrates with your existing operations. StartProto offers a free trial for just this reason! Software should be user-friendly and support how your team works.

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Finally, test the system. Write actual test cases that include expected behaviors or outcomes in the software. Inevitably, something will not work exactly as planned. This lets you catch bugs and fix them before going live.