ControlX: AI-driven autonomous delivery intelligence for 97.8% SLA success and seamless logistics management

Most operations find out an SLA was missed when the dashboard turns red or the customer calls. ControlX is built to find out first, and to act while there is still time.

The problem with finding out late

A typical delivery dashboard tells you an order is late once it is late. By then the only options left are an apology, a refund or a re-delivery, and all three sit inside the last mile, which Capgemini estimates is 41% of overall supply-chain costs.

Yet most breaches announce themselves early. The kitchen is running behind. A rider has been stationary for six minutes. A partner hasn’t accepted the booking. Traffic on the main road has doubled. Each signal is small; together they predict which order will miss its promise.

What ControlX does

ControlX is the AI control tower in the Adloggs Agentic AI suite. It monitors the whole delivery ecosystem end to end, predicts disruptions, surfaces anomalies and recommends corrective actions before SLAs break. It works in three steps:

1. Sense. It reads live order, rider, partner and traffic signals across every zone and every fleet.
2. Predict. It estimates which orders will miss their promised time, and by how much.
3. Act. It triggers the next step through the right agent, or escalates to a person with the context attached.

The numbers behind it

Adloggs publishes three figures for ControlX:

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

Response time matters as much as accuracy. A prediction that arrives after the rider has left the wrong way is only a report.

From prediction to action

ControlX doesn’t act alone. It hands each fix to the agent built for it:

• Wrong rider or partner? LoggiAI reallocates the order across your own fleet and 1PL–4PL partners.
• Route no longer works? Routa re-plans it, batching where it can.
• Customer needs to know? Zoya updates them on WhatsApp, and Vox calls when voice is needed.
• Outside the rules? The case goes to your team, with the signals and the recommended action already on screen.

Seamless doesn’t mean hands-off

Operations teams set the boundaries: which actions ControlX may take on its own, which need approval, and which partners count as fallbacks. Every alert and action is logged, and root cause analysis turns repeated breaches into fixes for the next week, rather than surprises for the next shift.

Getting started

Start with one city or one outlet group. For the first two weeks, have your team act on ControlX’s recommendations themselves and compare its predictions with what actually happened, then let it act directly on the cases it predicted well. The Adloggs delivery management system connects your orders, riders and partners so ControlX sees the whole picture from day one.