Initiate the Top Steps to Successful Forecast Collaboration Automation

Get to the level of automation that is right for you for efficient ongoing data collection and reporting; and maximum ROI


The supply chain evolved over the past century to become a critical strategic business function, of which its success directly supports an organization’s accomplishments. Technological advancements now enable supply chain managers to better understand the needs of their individual systems and to plan materials demand more intelligently than ever before. Still, nearly half of all companies had not transitioned away from manual processes for forecast planning and collaboration in the supply chain, according to a 2011 study by Aberdeen Group. As a result, this leaves major chances for losses in efficiency and redundancies in work processes.

Each organization experiences its own pain points and challenges. And with a wide variety of tools available, automating forecast collaboration can seem a daunting task to undertake. However, as with any solution, careful planning and research, combined with manageable implementation will spell success.

Before you start, build a solid team

Successful automation is dependent on an understanding of which areas are most in need. In order to tackle this, it is essential to involve key stakeholders and departments. The project team should be comprised of representatives from the areas that would be affected by the collaboration process change and should include (but not limited to) members from planning, procurement and IT. It is also beneficial to secure executive sponsorship at the highest level possible.

Analyze current systems

Once the team is assembled, start by first assessing the needs of your organization. Understanding goals will help to analyze where current systems fall short and create a clear picture that is geared toward your organization’s desired outcome. Organizations should take an unbiased (detached) look at current systems to:

  • Determine the age of the organization’s ERP data. Out-of-date material resource planning (MRP) data generates inaccurate forecasting, order quantities and, at times, delivery date scheduling. While a 12-to-18 hour age for MRP data may be acceptable in some environments, others may identify the need more current information to respond to shifts in demand
  • Evaluate the level of visibility into suppliers’ inventory
  • Analyze the ability to communicate with suppliers in a system that integrates with your ERP

 

Identify time, data and collaboration gaps

The key to understanding where gaps exist is to identify which questions to ask. Each organization is unique and gathering team members from various departments will help narrow the focus. But some general questions to consider include:

  • What benefits/improvements in time, accuracy and materials spend can be realized through tighter integration between planning and procurement as well as planning and suppliers? Is there notable benefit by utilizing a single system?
  • Does the organization have the ability to collaborate with its suppliers in the current procurement system, using real-time demand and forecast data?
  • Which manual processes—such as email, spreadsheets and phone calls—are still employed to communicate and negotiate planned orders? Is there a technology that could help to automate those tasks?
  • How does the organization obtain information about suppliers’ inventory? Does that information provide visibility into their current and projected stock?

 

Evaluate all systems

This critical step requires a deep understanding of both shortcomings in the current systems and the capabilities of the potential solution. Some systems that are already in place may contain functionality that, when combined with features of another, could solve the problem in question. On the other hand, current systems may not “play nice” with certain potential technologies and may need to either be replaced all together, or configured for a smoother transition.

Implement a “right-fit” solution

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