Framing a Business Case for the Changing Face of Enterprise Supply Chains Greg L Towne

To frame a Supply Chain Business Case for an evolving AI and Innovation Driven Enterprise; the Leadership Team needs to

  • Set clear Superordinate Goals for the Supply Chain management

  • Draw out and assess the Key Business Drivers and the salient subordinate capability to achieve desired and measurable Outcomes

  • Define Strategies, Objectives and Tactics to better align with the Enterprise Goals

  • Set structures and budgets based on related Driver-driven Metrics

Superordinate Goals

Getting the key assets of an Enterprise (People) heading towards a common result whilst maintaining their own inclinations and agendas, requires the setting of some clear Superordinate Goals and Concepts that assist in driving overarching behaviour.

Some of the typical messages currently being deployed are

Driver-Based Metrics and Outcomes

There is no doubt that an enterprise’s current situation, geography, stakeholders, customer base, industry status, and obligations, etc. shall influence their key business drivers – we have extrapolated on the example Superordinate Goals above and used the most common Driver-Based Metrics and Outcomes as shown below.

Subordinate Supply Chain Capabilities

The Key Business Drivers above need to be reflected in the Strategies, Objectives and Tactics for each of the Subordinate Supply Chain Capabilities as outlined in the guidance below.

Diriger’s Solutions, Capabilities and Outcomes

The outcomes currently being achieved by Diriger’s Supply Chain Solutions are significantly measurable, fast to achieve, reliable, efficient, utilise several new innovations in technology such as AI and Machine Learning; and are fully integrated to EAM/ERP/BoB solutions via our propriety business to business platform.

Strategies and Technologies

  • Process Automation to build efficiency and repeatability

  • AI and Machine Learning to do things smarter

  • Business Rule and Workflow Engines

  • Imbedded Analytics and Guided Heuristics

  • Secure Data Fabric for on-premise or cloud deployments

  • Data Insights Driven Capability for better decision making

  • Persona-Based UI/UX (User Interface and User Experience) to garner better User Buy-in

  • Data Driven Decision-making to ensure outcomes are based on facts

  • Data entry/update at Source to minimise data re-handle

  • Exception-Based Validation governed by Business Rules

  • Natural Language Searching Capability

Measured Examples Diriger Supply Chain Outcomes

  • > 70% of Purchase Order’s automated

  • < 5% Non-Order Invoices

  • 100% Probity Compliance and full Audit Controls

  • 100% Invoices payments on-time

  • 100% Supplier Status Compliance

  • 100% User Adoption and Input

  • > 90% of Invoices fully automated

  • > 50% reduced Inventory Holdings

  • < 10% Error recycle (Across all processes)

  • > 200% Reduction in User Screen-time

  • > 100% Reduction in Data Search-time

About the Author...

Greg Towne is a Co-Founder of Diriger with 35+ years of experience implementing Enterprise Resource Planning solutions and Business Process Improvement Initiatives in Mining, Utilities, Energy and Defence industries. He is dedicated to working closely with our Customer’s in order to help them solve the BIG problems that have been in play for far too many years.