In a materials operation, the decisions that move profitability happen in conversations that never reach the record in dispatch, QC, and ERP systems. Connecting them to it is the clearest opportunity producers have today to create a new technological and organizational advantage.
A foundation everyone knows
The basic data that runs a materials operation has kept roughly the same shape over the last couple decades: customers and projects, orders and tickets, regions and plants, trucks and drivers. The on-prem and cloud generations of software have been built around that structure, and the structure itself has barely needed to change, because it reflects the core records and transactions of the business well, held within a system of record.
What the cloud transition delivered
Over the last decade the industry has invested heavily in moving that structure to the cloud, a transition our founding team helped build in the prior generation of these systems. Connected cloud systems, BI, fleet tracking and telematics, sensors across trucks and plants, and ERP rollouts gave producers visibility not available before. Orders, tickets, and truck time became measurable, dashboards replaced guesswork with data-driven decisions, and many aspects of performance could finally be compared across plants and regions just by opening an app. Producers who made that investment now run on connected systems and can see the structured record of the business clearly, and that foundation is what the next step builds on.
The goals, and the distance still to go
The goals producers are working toward have been just as steady as the data. Every operation wants the same handful of things:
- Operational clarity, to know what is working and where the highest-impact improvements lie, whether in resources, management oversight, policies, training, or capital investment.
- Guardrails against mistakes, so the costly error is caught before it ships.
- Stronger customer relationships, keeping the accounts it has earned and growing them.
- Maximize asset utilization, getting the most out of trucks and plants that keep costing money even when they are not earning it.
The cloud transition moved all four forward, and the metrics it produced also show the distance still to go.
NRMCA’s 2026 fleet benchmarking puts asset utilization, the share of available truck time that becomes billable yardage, at 75.7%, and only about half of producers measure it at all. The same benchmarking shows cubic yards delivered per mixer truck fell 11% year over year in 2025, from 4,937 to 4,403.1 Returned concrete runs 2 to 5% of production, most of it from over-ordering.2 Each of these gaps is also an opportunity, and new technology has an important part to play in creating the visibility needed to close them.
The missing piece is in the conversations
Ask why a particular window was missed or why a load came back, and the answer usually starts with a conversation. Producers run on structured dispatch, ERP, and fleet data, but much of the meaning lives in the unstructured communications around it: the calls, texts, portal messages, and radio traffic where orders are negotiated, changed, and saved. A Friday call moves the pour, the yardage, and the access route, and the dispatcher who took it knows while Monday’s shift does not. A waived fee is agreed on a call and never typed into the order, invisible to billing. Frustration shows up in an account’s day-to-day conversations well before it shows up in order volume.
Frustration shows up in an account’s day-to-day conversations well before it shows up in order volume.
None of this is anyone’s oversight. Dispatchers do the job under pressure, leaning on training from supervisors, instincts built up on the job, and relationships with their colleagues and counterparts on the jobsite, at the plant, and operating the trucks. Until recently, spoken and written conversation could not be analyzed at scale, so the industry digitized the half of its data that the technology of the time could handle. Nearly every producer we talk with records calls in a VOIP system but rarely opens them, usually only to settle a customer dispute, by searching manually for that customer’s phone number, or to pull a few calls more or less at random for a coaching session with a dispatcher. The recordings were there, but the context inside them stayed out of reach.
Why this is possible now
The context became reachable because of two developments that arrived together. The cloud transition created the connectivity: dispatch systems with APIs and data feeds, call recordings stored where they can be reached, and systems that can finally talk to each other. And AI can now read a conversation well enough to work with it at scale, picking out what was requested, what was promised, and what changed across every call rather than the handful someone has time to review. Natural-language processing is not new, but the latest large language models bring a new level of nuance, and the flexibility to handle the complexity of how materials production and delivery are actually discussed.
Together, these two developments make a new layer possible. The dispatch data a producer already runs on can be joined with the conversations around it, so the full story of every order becomes searchable, mistakes get caught before they ship, and the team has the right context at the moment of decision. Every call, message, and note becomes part of the record on the order it concerns, tied to the accounts and assets involved. The relationship history that used to live in people’s heads is on the screen for the whole team, the record that was never there before.
This is what we mean by Operational Intelligence: the layer that captures the human, talked-through side of the operation and makes it usable alongside the record. It is a different kind of thing from BI, ERP, or dispatch software, and it is what MaterialMotion is building with materials producers.
What becomes possible
Connecting the conversation to the record turns each of the industry’s four standing goals into something a team can act on directly.
Operational clarity. Connecting communications to the record puts the whole operation in one view. Every call, message, note, and order is connected and searchable in one place. Pull up a customer, a job, or a plant and see where things stand, then ask in plain language and get an answer you can trace to the exact calls and records behind it. When something goes wrong, the full timeline of the incident is already assembled, so disputes can be settled in minutes with certainty and recurring disruptions become visible patterns instead of one-off incidents. The same record shows how your team handles every interaction, so coaching starts from real examples of what works, the whole group holds to one standard, and new dispatchers learn from the acquired knowledge of your best. That clarity reaches customers and markets as well: competitive pressure becomes visible across a producer’s footprint, and the DNA of each account comes into view, from what frustrates it to what it prefers and the patterns it repeats over time.
Guardrails against mistakes. Connecting them puts a guardrail on every order. When an order does not match what was agreed, your policies, or the specs, the conflict is caught before the first load ships: the incorrect mix, the missing admixture, the wrong address, the delivery detail that would otherwise turn into an escalation. The same check makes your standards the default on every order and surfaces the rare exception early, while there is still time to act. Quality gets the same early warning, because the way a mix or a problem is described on calls and tickets is analyzed alongside the operational record, so quality risks are recognized before they set.
Stronger customer relationships. Connecting them makes account health visible early. Loyalty slips before it shows in volumes, and the signs are in the day-to-day conversations first. Those signs surface early, so dispatch, sales, and management can step in with the full account history and the customer’s own words. Revenue risks, pricing signals, and growth opportunities come out of daily calls and reach the people who can act on them. Every waiver, credit, and verbal promise is tracked, so invoices match what was agreed and every charge is backed with evidence, and verbal waivers and site hazards go on the record where they protect both the customer relationship and the business.
Maximize asset utilization. Connecting them gets more out of every truck and plant. The details that decide whether a truck moves or waits are in the daily back-and-forth with the job. Read alongside the operational record, they help keep trucks moving, cut idle time, and prevent the avoidable cleanup loads that cut into margin.
Delivered at the moment of decision
Decisions in a materials operation happen up and down the organization, at different scopes, and all of them get better with the right information behind them. Strategic decisions are less frequent and more consequential: revising a policy, shifting a market strategy, deciding whether to build a new plant. Choices like these are made well when leadership has deep, clear insight into what the operation is actually doing. Day to day, the same holds across the whole team, where the best available information helps everyone balance customer satisfaction against asset utilization, one decision at a time.
The moment of decision runs through all of them, and it is where the information has to land: for the dispatcher when the call comes in, as a flag before the load ships, as a note before the invoice goes out, as an alert to sales while there is still time to act, and in the aggregated view a leader uses to decide what to change next. It reaches the team where they already work, with no change to how dispatch runs today.
A careful approach
It matters that a producer approaches this carefully, and with a vendor dedicated to it. The systems that run production, from order taking and batching to ticketing and billing, are demanding, and the vendors who build them are rightly focused on running them reliably at scale. As AI comes into dispatch operations across the industry, some vendors are aiming at the repetitive work a machine can do reliably, freeing dispatchers to spend their judgment where it counts: balancing asset utilization against customer satisfaction, and resolving the unexpected problems that come up all day in a production operation. This is a welcome help with the recurring work of dispatch.
Reading across those systems and the conversations around them is a different discipline, and it is better done by a vendor focused on it alone than expected as a side feature from the platforms whose attention rightly stays on keeping production running. Approached that way, the intelligence is added as a layer on top of what a producer already runs, without changing the systems the operation depends on every day.
Doing it carefully also means moving methodically: bringing the analysis in with people in the loop, validating findings before they are trusted, and setting the pace on the producer’s terms. That is how a capability like this earns its place in decisions that are hard to undo.
The meaning behind the metrics
NRMCA’s 2024 performance benchmarking puts the average producer’s pre-tax margin at 9.1% and the survey’s top quartile at 17.2%, a gap of about $14.80 per cubic yard.3 The cloud transition gave producers the metrics that reveal that gap. Connecting the conversations to the record supplies what the metrics alone could not: the reasons behind the numbers, visible early enough to act on. A unified record, with the intelligence to read that volume at scale, gives managers and leaders the grounding to challenge the status quo, make the case for the right investments in improvement, test their theories against what the operation actually does, and push the organization forward. For producers who move on it, that Operational Intelligence becomes a durable advantage in their local markets, built on the cloud investment they have already made.
