Data and AI
Data is the starting point of all great customer and commercial strategy. Our data capability can help drive operational efficiencies and productivity gains across multiple cost centres in your business.
ANC are in a privileged position where we get to visit millions of Australian homes and businesses every year. The insight we gather on property configurations, access issues, and customer delivery preferences represents a hugely powerful unified data set that can be used across clients to streamline customer data capture and improve first time delivery success rates.
Our Data Strategy
Our Data Strategy is to drive data-led efficiency and productivity gains in every measurable last mile delivery moment.
We ask questions like: How can we use data to deliver more load for less? How can we use data to take friction out of the Customer Experience? How can we use data to reduce delivery failures and repeat visits?
By solving these problems for your business, we can drive significant CPO reductions.
AI-driven route planning for delivery efficiency
Like every business, we’re looking for ways to use AI to drive operational efficiencies.
AI routing that factors in payload, traffic patterns, and fuel efficiency can drive huge savings.
This creates opportunity for reverse logistics - returning to base with a full vehicle of product.
AI can also help to reduce delivery failures that lead to $ millions in repeat delivery costs every year.
Marketing data that matches device IDs with vehicle routes
Our partnership with Lumos gives clients access to marketing dashboards that track audience reach (to device ID-level) on every route our vehicles travel.
So if you choose to brand your delivery vehicles with ANC, your marketing team can accurately measure impressions and ROI.
Get in touch
If you're looking for a delivery partner that understands and prioritises customer needs, that has deep experience across multiple industries, and can scale up or down to meet any delivery requirements - get in touch with our team today.
