Transform reactive logistics into autonomous operations

ControlX combines AI-powered real-time monitoring and automation to help businesses respond faster, improve SLA performance, and build more reliable delivery operations.

What “reactive” costs

In a reactive operation the day runs on phone calls. A customer asks where the order is, a dispatcher checks three screens, a rider is called, and the fix starts ten minutes after the problem did. By then the options are an apology, a refund or a second trip, and all of them sit in the last mile, which Capgemini estimates at 41% of overall supply-chain costs.

The delay itself is rarely the surprise. The kitchen was behind, the rider had stopped moving, the delivery partner had not accepted the booking. The signals were there. Nobody was free to read them.

Four stages, from reactive to autonomous

Most teams sit between “monitored” and “assisted”. They can see more than they can act on. The step that changes the day is the last one, where routine fixes no longer wait for a free pair of hands.

How ControlX closes the gap

ControlX is the AI control tower in the Adloggs Agentic AI suite. It combines two things that are usually separate: real-time monitoring and automation.

• Real-time monitoring. It reads order, rider, delivery-partner and traffic signals across your own fleet and your 1PL–4PL partners, and predicts which orders will miss their promise.
• Automation. It triggers the next step through the agent built for it: LoggiAI reallocates the order, Routa re-plans the route, Zoya updates the customer on WhatsApp and Vox calls when voice is needed.

Adloggs publishes three figures for ControlX:

• 2.8M+ orders supervised
• 97.8% SLA defense rate
• Under 1 second AI response time

What changes for the team

• Faster response. The fix starts when the risk appears, not when the customer complains.
• Better SLA performance. Orders are corrected while there is still time to deliver them on time.
• More reliable operations. The same problem gets the same response at 2 pm on a Tuesday and at 8 pm on a festival Saturday.
• Time for the hard cases. Dispatchers handle the exceptions that need judgement, with the evidence already on screen.

Autonomous, with your rules

Autonomous does not mean unattended. Your team decides which actions ControlX may take on its own, which need approval, and which partners count as fallbacks in each zone. Every alert and action is logged, and root cause analysis turns repeated problems into fixes for the following week.

A safe way to make the move

1. Pick one city or one group of outlets.
2. List the five delays you see most often and agree the right response to each.
3. Run ControlX in recommend-only mode for two weeks, and compare its predictions with what happened.
4. Let it act on its own for the cases it predicted well. Keep approval for anything that costs money.
5. Review on-time rate and cost per order every week, then widen the rules.

The takeaway

Reactive logistics is not a people problem. It is what happens when people are asked to watch everything at once. Give the watching to ControlX, keep the decisions that matter with your team, and the operation moves from chasing delays to preventing them. The Adloggs delivery management system is where that starts.