Delivery ops are a real-time coordination problem. Routes need rebalancing, order volumes spike unpredictably, drivers call in sick, restaurants run late. Your dispatchers are managing by firefighting — toggling between screens, making phone calls, and hoping the next delivery isn't late. Your platform has all the data needed to handle this intelligently. It just needs an AI layer to connect the dots in real time.
Sidenet's AI assistants sit inside your delivery platform and handle the coordination your dispatchers shouldn't have to do manually. Route optimisation, volume forecasting, and order management — all through natural language.
Each of these assistants can be built, configured, and shipped using Sidenet — no AI engineering required.
Optimises driver routes and assignments in real time. Handles reassignments when things go wrong.
Fewer late deliveries. Faster exception handling. Dispatchers manage by exception, not by micromanagement. A 5-minute disruption is resolved in 30 seconds.
Predicts order volume by zone, time, and day to optimise driver staffing.
Right-sized staffing. Lower cost per delivery. Better service levels. Predictable ops instead of reactive ones.
Streamlines order intake and processing through conversational AI.
Faster order processing. Fewer errors. Restaurant partners spend less time on admin and more time on service.
Embed the Sidenet chat in your delivery platform with a single line of code.
Configure dispatch, forecasting, and ordering agents in Studio. Connect to your routing engine, order system, and staffing data.
Test internally, then ship to your delivery operations customers with full observability.