
Inventory analytics — VIC X8
Data-driven inventory forecasting and warehouse optimisation designed for Victorian logistics and e-commerce operations. Reduce stockouts, improve turnover and unify on-ground and last-mile planning.
Overview
Quoriventra X8 combines real-time telemetry from warehouses, sales velocity modelling and cross-border lead-time intelligence to deliver pragmatic recommendations tailored to Victoria's supply chains.
- Demand forecasting with SKU-level accuracy
- Automated reorder points and safety stock tuning
- Warehouse slotting and pick-path optimisation

Core features
Real-time inventory visibility
Unified stock levels across DCs, click-and-collect and marketplace channels with alerts for anomalies.
Predictive replenishment
AI-assisted reorder suggestions accounting for lead times, promotions and seasonal trends for VIC demand patterns.
Warehouse performance
KPIs, heatmaps and slotting recommendations to cut pick times and reduce handling costs.

E-commerce integrations
Connect marketplaces, shipping platforms and ERP systems to feed forecasting and automate allocations for last‑mile routing.
Modules & integrations
Deploy the modules you need — inventory core, forecasting engine, WMS adaptor, and reporting layer with BI connectors.
| Module | Purpose | VIC Fit |
|---|---|---|
| Inventory Core | Central stock ledger, multi-location | Essential |
| Forecast X | Demand prediction with promo modelling | High |
| WMS Link | Slotting & pick-path automation | Medium |
| LastMile API | Delivery ETA & routing | High |

Case studies — Victoria rollouts

Retail chain — Melbourne
Reduced stockouts by 42% and lowered working capital through dynamic safety stock across 8 stores.
Discuss similar
3PL partner — Geelong
Improved throughput by 22% with slotting and pick-path changes driven by X8 analytics.
Start evaluationLocal team
Ava leads our Victorian analytics deployments, bridging on-site operations and cloud forecasting to deliver measurable KPI improvements.
FAQ
Ready to pilot X8 in Victoria?
Book a discovery call or request a model run using your historical data — results shown in a sample 30-day projection.