Frequently Asked Questions

Questar is a full-stack, AI-based predictive vehicle health management solution designed for trucks, buses, and heavy equipment. It analyzes real-time sensor data to catch failures 2–4 weeks before they strand a vehicle, reducing unplanned downtime by 25% and repair costs by 30%.

Traditional maintenance is schedule-driven and often misses early, hidden failures. Questar uses a patent-pending 5-layer AI architecture to monitor raw sensor streams (J1939, CANbus, OBD-II). It predicts failures based on actual vehicle health, allowing you to bundle predicted repairs with scheduled maintenance and eliminate costly emergency roadside breakdowns.

Yes. Questar is hardware-flexible. It can seamlessly integrate with your existing telematics providers (such as Geotab) or operate with Questar’s own dedicated hardware for deeper, more granular data ingestion.

Questar is highly versatile and compatible with all types of motorized equipment. This includes commercial trucks, buses, agricultural vehicles, tractors, excavators, construction machinery, and specialized equipment used in sectors like sugarcane farming and harvesting.

Fleets using Questar typically see up to 30% less repair cost, 25% less unplanned downtime, and 20% less unplanned emergency premiums. Additionally, it provides clear financial visibility, connecting maintenance actions directly to cost savings and extended asset lifespan.

IBM Maximo / MAS is the world's leading Enterprise Asset Management (EAM) solution. It enables organizations across Africa and globally to efficiently manage the full lifecycle of their assets using cloud-native architecture, AI-driven analytics (Watsonx), and mobile tools to optimize operational efficiency.

Absolutely. Maximo seamlessly integrates with major ERP systems (SAP, Oracle, Microsoft Dynamics), HR/Finance systems, GIS, SCADA, and IoT sensor platforms. Afrimax ensures smooth integration using standard REST/OSLC APIs and the Maximo Integration Framework (MIF).

MAS integrates AI via Watsonx to transform reactive maintenance into predictive and prescriptive actions. Features include AI-driven work order classification, natural language processing for maintenance notes, predictive failure modeling (Maximo Predict), and AI-assisted technician guidance (Maximo Assist).

Yes. Afrimax offers comprehensive training programs globally, including End User, Advanced User, and System Administrator training. We also provide 24/7 remote monitoring, tiered escalation, and dedicated support to ensure reliable service delivery across Africa and worldwide.