INFORM shows how artificial intelligence (AI) technology can help operations rely less on legacy dispatching and save operational costs.
For decades, dispatch operations in the aggregates, asphalt, and ready-mix concrete industries have been constrained by legacy planning systems. These systems, often built on outdated rule sets, manual adjustments, and limited optimisation, struggle to meet today’s requirements for speed, accuracy, and responsiveness. Yet despite clear evidence that modern AI-powered scheduling significantly outperforms these older technologies, many organisations hesitate to make the transition.
This reluctance has real economic consequences. Inefficient dispatching increases fleet costs, reduces asset utilisation, lowers service quality, and constrains margins in an industry already challenged by tight delivery windows and volatile demand patterns. With digitalisation accelerating across the supply chain, producers who continue to rely on outdated tools risk falling behind competitors that embrace algorithmic planning.
The good news: Moving beyond legacy software is easier and more rewarding than many decision-makers assume.
The Limits of Legacy Dispatch Systems
Scheduling aggregates transport is dramatically more complex than it may appear from the outside. Companies must balance loading capacities, vehicle availability, driver hours, haul distances, delivery priorities, customer time windows, and unpredictable traffic conditions. Planners are expected to make these decisions in real time, often under significant pressure.
Legacy planning systems were never designed to cope with this level of complexity. They tend to rely on simplified rules or basic heuristics that cannot evaluate millions of possible planning scenarios per minute. When conditions change, which they do constantly, dispatchers must adjust plans manually, often leading to suboptimal outcomes, unnecessary empty miles, or service failures.
The result is a system built on reactive decision-making rather than proactive optimization. Dispatchers spend their time firefighting instead of improving overall performance and customer experience.
AI Planning: A Logical, Proven Alternative
Modern AI-powered planning engines, like INFORM’s AI-powered transport planning and execution software, use advanced algorithms that evaluate vast numbers of scheduling combinations in seconds. These systems apply mathematical optimisation to create transport plans that minimise costs, maximise efficiency, and meet business rules with precision.
For dispatchers, this means freedom from tedious calculations and manual corrections. AI handles computational complexity, while planners focus on communication, service quality, and exception handling. Instead of reacting to problems, teams work with robust, optimised schedules that stand up to real-world volatility.
This shift brings measurable improvements:
· Higher fleet utilisation through smarter truck/order allocation.
· An industry-leading cost reduction approach and service level excellence.
· Improved on-time performance and lower CO₂ output.
· Increased situational awareness and real-time decision making for dispatchers.
When producers run simulation studies comparing legacy plans to AI-optimised plans, the differences are striking. KPIs such as loads/truck/day, empty mileage, and service level consistently improve, often by double-digit percentages – findings that are regularly confirmed in INFORM’s customer simulations and proof-of-value projects.
The C-Level Perspective: Overcoming Hesitation
Despite the quantifiable benefits, many executives remain hesitant to adopt AI-powered transport planning. Some fear the perceived complexity of digital transformation. Others underestimate the financial impact of inefficient dispatching. In many organisations, long-standing processes create inertia that is difficult to overcome.
But the business case for AI is not abstract. It is concrete and measurable. When simulations convert performance improvements into monetary savings and return on investment, the data speaks for itself. Companies often discover that the project pays for itself far faster than expected.
Hesitation, then, is rarely about the technology itself. It is more often a psychological barrier: the fear of changing a system that “has always worked.” Yet today’s market conditions demand more than “good enough.” Customers expect reliability. Margins require optimisation. Sustainability goals necessitate efficiency.
Digitally enabled transport planning is no longer a future trend. It is a current competitive advantage.
Why Some Organisations Still Don’t Make the Switch
Even when simulations show compelling results, some organisations ultimately fail to act. This reluctance can stem from several factors:
· Underestimation of the opportunity: Cost savings from optimised transport often exceed expectations.
· Fear of operational disruption: Many assume implementation is complex, when in fact rollout can be phased and minimally invasive.
· Cultural resistance: Teams accustomed to traditional planning may worry that algorithms will replace human expertise.
However, delaying modernisation has a cost of its own. Each day spent operating with outdated planning tools represents inefficiencies and missed opportunities that compound over time.
A Straightforward Path to Modernisation
Transitioning from legacy dispatch software to an AI-powered system does not require a disruptive overhaul. Modern solutions integrate with existing ERP, telematics, and weighbridge systems. Implementation can be incremental, and teams receive structured onboarding to ensure adoption and ease of use.
The most effective first step is often a simulation study: a side-by-side comparison of current dispatch plans and AI-optimised plans using real operational data. This approach allows organisations to quantify the benefits without affecting daily operations.
With clear evidence in hand, decision-makers can proceed confidently, knowing that the investment will generate tangible and sustainable returns.
Conclusion: It’s Time to Modernise Logistics Planning
The building materials sector faces increasing pressure to improve efficiency, reduce emissions, and deliver reliable service to customers whose expectations continue to grow. Legacy dispatch systems cannot keep up with these demands.
AI-powered transport planning solutions like INFORM’s mathematically rigorous optimisation engines offer a proven and operationally reliable alternative. They empower dispatchers, strengthen customer relationships, reduce costs, and support strategic goals across the organisation.
For producers still holding onto outdated software, the message is clear: there are many ways to leave legacy systems behind. And every reason to do so. The transition is logical, practical, and essential for maintaining competitiveness in a rapidly evolving industry.
