Framing a Business Case for the Changing Face of Enterprise Supply Chains...by 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
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.