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Smarter Strategies for Improving Procurement Processes

End-to-end procurement is a complex set of processes with many moving parts. Process Driven AI solutions provide an X-ray of end-to-end procurement processes and then enable organizations to standardize, streamline, optimize and automate those processes. By drawing on the insights that process mining provides, organizations can create greater value across the entire procurement chain.


End-to-end procurement is a complex set of processes with many moving parts. Traditional, manual approaches to fine-tuning procurement are no match for the volumes and complexity of data coming from multiple interdependent processes and systems in today’s procurement life cycle. Without clear visibility, objective metrics and intelligent automated analysis, it is difficult to use data for decision-making and process improvement.


Advanced process mining solutions provide that foundation by automatically creating an X-ray of end-to-end procurement processes, and then enabling organizations to standardize, streamline, optimize and automate those processes. By drawing on the insights that process mining provides, organizations can create greater value across the entire procurement chain — delivering goods and services when needed, at the right price and terms, from the right suppliers, in compliance with purchasing policies, and as efficiently and cost-effectively as possible.


What are the right process metrics to focus on?


Although procurement professionals might envision a process being performed in one single, consistent way, the reality is that any process is usually performed in thousands of ways. To make the best decisions about process improvement, organizations need an objective view of processes. The right metrics enable organizations to evaluate existing processes, set a baseline of the current state, define goals, and track whether the changes achieve the desired outcomes.


Given all the moving parts in the procurement life cycle, a procurement value tree provides a useful model for tracking, measuring and understanding complex processes and setting a foundation for improvement. In general, it ties metrics and opportunities for improvement to the organization’s top business objectives.


For example, to improve labor productivity, organizations may want to examine manual rework and use metrics such as purchase orders per full-time equivalent (FTE), cost per purchase order, and current automation rates to assess areas for improvement. To improve compliance and sustainability, organizations may want to focus on free-text requests (i.e., manually creating a request vs. using the department’s catalog to pick a pre-authorized vendor with pre-negotiated terms) and ordering from maverick spending (i.e., services and materials that are purchased outside purchasing and procurement processes) and track metrics such as spend compliance.


USING PROCESS AI TO ACHIEVE BUSINESS GOALS


To turn process data into clear action, procurement teams are adopting advanced process mining solutions that enable a data-driven approach to auditing, analyzing and improving procurement processes. These solutions leverage existing systems and data and are faster, more accurate, and less costly than traditional (and often subjective) process mapping workshops.


Process mining solutions create a clear snapshot of end-to-end processes by automatically analyzing process data and metadata from the procurement system’s events logs. By weaving together data from multiple procurement systems (e.g., purchase request, purchase order, receipt, invoicing and payment), process mining provides a single source of truth for identifying inefficiencies, quantifying their impact, simulating potential changes and outcomes, and then leveraging artificial intelligence and automation to execute improvements.


It’s important to note that although automation is an important part of process improvement, it’s not always feasible or even best to automate all manual tasks. Using data to model various automation scenarios and outcomes is essential for making good automation decisions.


BUILDING PROCESS TRANSPARENCY AND EFFICIENCY


Process Driven AI solutions like Perceptif provide a simple, impactful way of identifying leverage points that improve procurement processes. Process improvement initiatives should start with a robust value tree that provides a clear line of sight from goals and processes all the way down through improvement opportunities and then prioritizes the areas that matter most.


Reach out for an assessment of your procurement or finance functions that can help to reduce costs, increase transparency and improve efficiency. Visit www.perceptif.ai for more information.



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