Government solutions
Supply Chain Optimisation for Government
Beryl Analytics's supply chain optimisation work for public sector starts with one question: what decision is this going to change? If we can't answer that in one sentence, we don't build the model. That discipline is why our engagements compound rather than gather dust.
Why government teams choose Beryl Analytics for supply chain optimisation
- Built for compounding value. Each supply chain optimisation engagement leaves public sector with infrastructure that accelerates the next one — shared feature stores, reusable pipelines, documented data contracts.
- Real handover. We pair your team into the build from day one. By go-live, they own the system. We're optional from then on.
- Practical AI. We've shipped LLM-augmented analytics where they help, and stayed with simpler models where they outperform. Hype is not a strategy.
- Audit-friendly. Every model decision is traceable. Compliance and risk teams stop blocking — they start enabling.
- Track record. 1,000+ models in production. Across heavy-industry, regulated, and consumer domains.
How we deliver supply chain optimisation engagements
- 01
Discovery sprint (week 1)
Two days on-site with your operators to map the workflow, half a day with leadership to align on the dollar metric, and an afternoon writing the scope memo we'll work to.
- 02
Spike the riskiest assumption (weeks 2-3)
Before committing to the build, we attack the assumption most likely to kill the project — usually data availability or operator adoption. A negative result here saves months.
- 03
Build, in public (weeks 4-8)
Daily commits to a shared repo your engineers can read. Weekly demo to the operator group. Nothing is built in private.
- 04
Production cutover (weeks 9-10)
A planned cutover with a rollback plan, monitoring, and a human in the loop for the first fortnight. We don't walk away from cold launches.
Frequently asked questions about Supply Chain Optimisation for Government
How long does a typical Supply Chain Optimisation engagement take for a government business?
Most supply chain optimisation projects for public sector land a working production slice within 4-6 weeks, then harden and expand over the following 8-12 weeks. Larger government programmes that touch multiple business units take 4-6 months end-to-end.
What data do you need to start a Supply Chain Optimisation project in government?
Minimum viable inputs are 12-18 months of historical transactional or operational data, basic entity reference tables, and access to the systems that will consume the output. We can work with messy data — cleaning is part of the engagement.
Can Beryl Analytics integrate supply chain optimisation with our existing public sector systems?
Yes. We're tool-agnostic and have integrated with Snowflake, BigQuery, Databricks, Salesforce, SAP, Oracle, custom in-house platforms, and dozens of government-specific systems. Insights surface inside the tools your operators already use.
How do you measure success on a Supply Chain Optimisation engagement?
Before we model anything, we agree the business decision the output will change and the dollar metric we're targeting — revenue lifted, cost avoided, or risk reduced. Supply Chain Optimisation engagements in government typically return 4-12x within the first year.
Do you work with government businesses outside major NZ and AU cities?
Yes. We deliver remotely across New Zealand and Australia and visit on-site for discovery, key workshops, and go-live. Distance is not a blocker — many of our highest-impact supply chain optimisation engagements have been with regional public sector.