Services

Purchasing

Improve your margin continuously through immediate purchasing gains by utilizing Process Mining technology

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Process Mining Purchasing
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Process Mining Purchasing

Turn Purchasing Into Your Competitive Advantage

Process Mining delivers a lot of value for P2P processes specifically. This technology is already transforming thousands of purchasing departments around the world by maximizing productivity, cutting down on maverick buying, improving supplier performance, optimizing working capital and most importantly, reducing costs. Processand ensures that you make value driven decisions and become the market leaders.

How we help

Gain immediate value and become the market leaders in purchasing with Processand’s expertise

Process Mining Use Cases

Purchase to Pay​

Maverick Buying​

inefficiency / challenge

  • Definition: POs with invoice receipt before PO or Invoices without POs.
  • Purchasing outside of the procurement process is not compliant.
  • These purchases often have worse purchasing conditions.​

solution and targeted outcome

  • Identify suppliers and materials for frequent maverick buying.
  • Educate the related departments.
  • Automated alerting for cases with Maverick Buying. ​

business objectives

  • Spend Reduction
  • Compliance​

core KPIs

  • #/% Affected Invoices
  • Affected Invoice Value​ ​ ​
Maverick Buying Process Mining Use Case

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Three-Way Match​

inefficiency / challenge

  • Price and quantity should be identical in POs, invoices and goods receipts.
  • Lack of transparency on POs that show deviations in the relevant documents.
  • Additional manual effort derives from these mismatches. ​ ​

solution and targeted outcome

  • Get transparency on mismatches.
  • Implement an analysis that displays root cause and impact of mismatches.
  • Build alerting for cases with mismatches. ​ ​

business objectives

  • Supply Reliability
  • Compliance​

core KPIs

  • Match Ratios
  • # Not Matching Cases​
Three-Way Match Process Mining Use Case

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On-Time In-Full Delivery​ (OTIF)

inefficiency / challenge

  • Lack of transparency on POs that are not delivered on-time and in-full.
  • Late deliveries lead to downstream bottlenecks, e.g., in production.​

solution and targeted outcome

  • Make OTIF rate transparent.
  • Investigate root causes based on process and process attributes, ​ e.g., compare the OTIF rate among different domains, customers etc.
  • Measure vendor performance effectively and report back to vendors.
  • Build automated reporting for supply performance.​

business objectives

  • Supply Reliability​ ​

core KPIs

  • #/% OTIF Orders
  • Related Purchase Value​
On-Time Delivery Process Mining Use Case

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Material Master Data Management​

inefficiency / challenge

  • Lack of master data management causes unnecessary manual efforts, e.g., making the same change over and over again.
  • Negative impact on business planning due to misrecognition or non-recognition of data in purchase planning.

solution and targeted outcome

  • Display where data is missing or potentially incorrectly stored.
  • Send automated notifications to employees to maintain data correctly.
  • Ensure clean maintenance with little effort and high efficiency.

business objectives

  • Supply Reliability
  • Labor Productivity​

core KPIs

  • % Affected PO’s
  • Related Purchase Volume​
Material Master Data Management Process Mining

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Replenishment Times ​

inefficiency / challenge

  • Keeping track of planned and actual delivery times of POs is challenging.
  • Evaluate material replenishment times to assure a smooth production.​ ​

solution and targeted outcome

  • Replenishment times analysis compares actual vs. planned delivery dates.
  • Root cause analysis based on various dimensions.
  • Detect bottlenecks and act on time.​ ​ ​

business objectives

  • Supply Reliability
  • Compliance​

core KPIs

  • # POs
  • Planned delivery times
  • Actual delivery times​
Replenishment Times Process Mining Use Case

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Learn More About Process Mining.

GET IN TOUCH

Begin Your Process Mining Implementation

With over 450 process implementations, we know exactly what the crucial parts of a successful Process Mining initiative are

Thomas Kerschbaumer

Thomas Kerschbaumer

Co-Founder/CEO

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