E-commerce solutions
Supply Chain Optimisation for E-commerce
For online stores, supply chain optimisation only matters when it changes a number on a P&L. Beryl Analytics works backwards from that number — picking the smallest, sharpest intervention that moves it — before scaling anything broader.
Why e-commerce teams choose Beryl Analytics for supply chain optimisation
- Senior practitioners. No bait-and-switch — the architects you meet in scoping are the engineers who ship the system. We don't farm work to juniors.
- APAC time zone, APAC context. We understand online stores regulations, data residency expectations, and the procurement cycles your team actually navigates.
- Honest scope. If a supply chain optimisation use case isn't ready for ML yet, we'll tell you. Half our highest-impact engagements start by killing initiatives that wouldn't have worked.
- Tool-agnostic. Snowflake, BigQuery, Databricks, Postgres, S3 — we work with what you already run.
- Speed without recklessness. First production slice in 4-6 weeks. Hardened over the next 8-12. No 18-month black-box programmes.
How we deliver supply chain optimisation engagements
- 01
Data audit (week 1)
A focused review of what data you have, where it lives, and what shape it's in. Outputs a written read with the gotchas and where to start.
- 02
Contract & instrument (weeks 2-3)
We formalise the inputs the system will depend on — schemas, freshness SLAs, ownership — and instrument anything missing. No model without solid inputs.
- 03
Model + interface (weeks 4-7)
The model itself plus the surface your operators will actually use. Built together so the analysts who debug it know exactly what each output means.
- 04
Soft launch & calibration (weeks 8-10)
Live in a small slice of the business. We watch every decision the system informs, calibrate, and only then expand.
- 05
Full rollout
Scale to the full surface area with documentation, training, and an on-call playbook your team owns end-to-end.
Frequently asked questions about Supply Chain Optimisation for E-commerce
How long does a typical Supply Chain Optimisation engagement take for a e-commerce business?
Most supply chain optimisation projects for online stores land a working production slice within 4-6 weeks, then harden and expand over the following 8-12 weeks. Larger e-commerce 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 e-commerce?
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 online stores systems?
Yes. We're tool-agnostic and have integrated with Snowflake, BigQuery, Databricks, Salesforce, SAP, Oracle, custom in-house platforms, and dozens of e-commerce-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 e-commerce typically return 4-12x within the first year.
Do you work with e-commerce 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 online stores.