Glossary
CTRM and Commodity Management Explained
Commodity trading has its own vocabulary, and the software supporting it adds more acronyms on top. This page explains the key terms and answers some common questions about commodity technologies.
1. Software categories and acronyms
# What is CTRM software?
CTRM stands for commodity trading and risk management: software supporting the business processes around trading commodities, from capturing deals to tracking positions and exposure, and reporting profit and loss.
The term covers a wide range of systems, from narrow trade-capture tools to platforms spanning the whole transaction lifecycle.
# What is a Commodity Management System (CMS)?
A Commodity Management System does everything a CTRM does, then continues into the parts of the business a traditional CTRM stops short of: counterparty management, logistics execution, quality and inspection data, document management, traceability, and more.
In physical trading a great deal of the value and the risk sits in execution. A CMS carries the trade from capture through to settlement on one platform, so trading, operations, risk and finance all work from the same numbers.
Gen10's view: this CTRM functionality gap is exactly what we built CommOS to address: a full commodity operating system to connect your entire business in one single source of truth.
Read more Commodity Management: From the trade desk to the supply chain
# How did CTRM evolve into Commodity Management?
CTRM originally covered the trade and risk side only: deal capture, mark-to-market, exposure and settlement. The physical side (logistics, scheduling, quality, warehousing) was usually left to other systems, or not covered at all.
Two things pushed it outward. Operational risk became as material as price risk, as traceability, regulations, and geopolitical disruption to logistics meant a business could be exposed even with its price risk perfectly hedged. And CTRM vendors started adding ERP-style functionality while ERP vendors added trade and risk functionality from the other direction; analysts have tracked this convergence for close to a decade. Commodity Management is what came out of the overlap: CTRM’s trade and risk core combined with supply chain execution in one connected system, carrying a position from trade through physical delivery to settlement.
Gen10's view: CommOS was built as a Commodity Management System from the outset, rather than a CTRM with logistics functionality added on afterwards.
# What is ETRM software?
ETRM is energy trading and risk management: CTRM software applied to energy commodities such as crude, refined products, biofuels, natural gas and power. The overlap with CTRM is substantial, though energy markets bring their own scheduling requirements, contract conventions and regulatory reporting.
# Why doesn’t a standard supply chain management (SCM) system work for a commodity trading business?
Generic SCM platforms are built for manufacturing or retail: a fixed bill of materials moving through a known network of owned or contracted facilities, with one buyer holding the goods start to finish. Commodity supply chains don’t work that way. A cargo can be bought and sold again while still in transit, with title changing hands before it’s even discharged. Quality is often provisional until an inspection at load or discharge, and price is rarely fixed upfront: it’s calculated against a formula tied to an exchange or index curve, adjusted for grade, location and quality.
Because of this, commodity businesses typically end up running several disconnected systems alongside any SCM tool: a CTRM for the trade and hedge book, a document system for bills of lading and letters of credit, and often multiple spreadsheets too. SCM software has no natural place for a pricing formula or a hedge that changes value as a shipment moves, so operations and the trade book stay separate and someone has to reconcile them by hand.
Gen10's view: CommOS is built around the entire commodity supply chain: the same platform holds the trade, the hedge, the pricing formula and the physical execution, so there’s no separate SCM system to keep in sync.
Read more Commodity Management Ecosystems in the supply chain
# What is commodity ERP, and how does it sit alongside a Commodity Management System?
Commodity ERP is enterprise resource planning software extended or configured for businesses that buy, sell and process commodities. ERPs typically handle the general ledger, statutory reporting, group consolidation, procurement, payables and receivables.
What they are not built for is the physical commodity lifecycle: pricing formulae across composite curves, FX and interest, exposure across physical and futures contracts, valuations that change after inspections, variable qualities/quantities and managing tolerances.
A Commodity Management System handles the physical and financial lifecycle and should share its data with the ERP in real-time, so Finance sees the same information the trader entered, updated throughout the day without a manual reconciliation step.
# What is a cloud CTRM? What does “cloud-native” actually mean?
A cloud CTRM is delivered and run in the cloud rather than installed on your own servers. Cloud-native means the system was designed for the cloud from the outset, rather than an older on-premises product rehosted on someone else’s hardware.
A cloud-native platform scales with demand and updates continuously, is generally easier to connect to external systems and data feeds, and typically provides a stronger data foundation for AI integrations.
# What is a SaaS CTRM? How is SaaS different from cloud-native?
Software as a Service CTRM: you subscribe to the software rather than buying a licence, and the provider runs, secures, maintains and updates it. That usually means a lower upfront cost, a predictable subscription, no infrastructure to manage, and new functionality arriving periodically as part of the service.
SaaS and cloud-native often go together but are not the same thing. SaaS describes how you buy the software and who operates it, whilst cloud-native describes how it was built.
# What is a multi-commodity CTRM?
A system that handles more than one commodity group, eg metals alongside agricultural products, within a single platform.
Vendors often list many commodities, so it is important to ask whether the system handles each one’s specific requirements without custom development, and whether someone managing two desks sees a single consolidated position. Businesses using a CTRM that can’t handle each commodity in depth might end up buying a second one, running a second instance of the same system, or working on spreadsheets alongside it. Any of these workarounds create a reconciliation problem that doesn’t exist if the CTRM is truly adapted to the business’ needs.
# What is a single source of truth?
A single source of truth means every fact about a trade, shipment schedule, bale or virtual lot is recorded in one place, and everything else references it.
Companies without a single source of truth often find the same information entered separately into a trading system, an operations spreadsheet, a logistics tracker and a finance ledger, where the copies can drift apart. Once that happens, compiling a real, live view of the business’ positions becomes almost impossible.
# What is an “ags and softs” CTRM, and why is the term misleading?
An ags and softs CTRM is CTRM software configured for agricultural and soft commodity trading: grains, oilseeds, cotton, coffee, cocoa, sugar and so on. As a software category it’s important to dig further, because requirements vary considerably between these commodities.
Cotton is managed and valued down to the individual bale. Coffee is sampled at several points along the chain and can need cupping quality data down to the micro-lot. Cocoa, sugar and grains each carry their own contract conventions, quality regimes, units and logistics. And that’s before we start adding in the requirements of different geographies. It’s important to work with a CTRM vendor who understands your specific crops and has the functionality to support all their complexities.
Gen10's view: CommOS is built with specific functionality for each agricultural and soft commodity, based on our Founder’s experience as a cotton trader and our 25 years of working closely with our clients to understand their unique situation when building our commodities technology.
# What is a metals CTRM, and why is the term too broad?
A metals CTRM is CTRM software configured for metals trading. “Metals” is industry shorthand for a wide range of markets: base metals, ferrous metals and steel, concentrates, and precious metals, among others.
Base metals such as copper, aluminium and zinc are largely LME-traded refined metal, moving in standardised lot sizes and grades, with warrant management as the operational core. Ferrous metals and steel scrap are graded to industry specifications rather than one global exchange benchmark, and trade on regional, freight-heavy pricing that shifts with grade, thickness and preparation. Concentrates are priced off assay results, treatment and refining charges, and penalty deductions for impurities and moisture are netted off a reference price, often through several rounds of provisional and then final pricing as lab data comes in. Precious metals bring a different rulebook again: LBMA Good Delivery fineness standards, and allocated versus unallocated account structures for vaulting and custody with no real equivalent in base metal hedging. It’s important to work with a CTRM vendor who understands the specific metals you trade and has the functionality to support each one’s complexities.
Gen10's view: Gen10 builds dedicated CTRM functionality for each of these metals segments: a flexible, assay-driven pricing engine for concentrates, warrant- and lot-level tracking for base and ferrous metals, and 25 years of experience working directly with traders across over 100 commodities all within the one code base.
Read more CTRM for Metals – What is it and why is it needed?
# What is a black-box CTRM?
A black-box CTRM is one whose internal workings and data are not accessible to the customer, meaning it is difficult to integrate with other systems via API, and reporting is limited to what the vendor has built.
The practical consequence is that your operating data is harder to analyse, connect to other systems or migrate, and it limits what AI tools can do with it, since they can only work with data they can reach.
2. AI in commodity trading
# What is agentic AI?
Agentic AI describes systems that carry out multi-step work rather than only answering questions: they retrieve what they need, decide what to do next, can use other tools and systems, and complete a task.
A chatbot can explain how to add a cost to a contract, but an agentic AI can add it, within the same permissions and approvals that apply to the person asking. A good agentic AI also creates a clear audit trail of every action so its output can be checked and verified.
# What is an agentic CTRM? What is chat-driven CTRM?
A chat-driven CTRM adds a plain language chatbot as a way of working alongside the usual screens and reports. You can ask for your net position, unmatched contracts this week, or your exposure if arabica moves five percent, and get an answer from the live book.
Agentic AI goes further, letting the same conversation take action, within exactly the same workflow rules, user permissions and approval routes that apply to the person asking. A good governance system underneath sets the limit on what a conversational interface can do.
Gen10's view: NaNi is an agentic AI interface allowing users to chat and interact with CommOS.
# What is AI governance, and why does a CTRM need it?
Commodity trading businesses already follow strict controls: trading limits, approval thresholds, counterparty screening and regulatory reporting to name a few. AI governance means an AI system works inside those existing controls, with a record of what it did and on whose authority.
Guardrails are how that is enforced in practice. Without them, an AI tool’s risks grow the more it is used.
Read more AI Guardrails: Helping Commodity Traders Drive Value
Gen10's view: Conductor.AI is the governance layer that makes our agentic AI deployable in production: it coordinates agents, protects data, enforces permissions and records every action NaNi takes.
# What is human-in-the-loop?
A design principle: the AI proposes, but a person decides. In a trading operation that means an agent can prepare, calculate, draft and recommend, but any changes go through either the person asking the question or the approval process that already applies when a human takes the action.
Gen10’s Conductor.AI provides the orchestration layer where you can set your policies and determine which actions need a human in the loop.
# What is RAG (retrieval-augmented generation)?
RAG (retrieval-augmented generation) is a technique where an AI model retrieves relevant information from a defined source before answering.
For example, Gen10’s NaNi already understands broad commodity trading concepts, but RAG is what lets her apply that knowledge to a specific company. Before answering, she retrieves your own transaction data, documentation, and internal terminology, so she's working from your contracts and your definitions.
# Why do AI assistants hallucinate, and how does structured data prevent it?
If a large language model is asked something it cannot answer from the source data, it will produce the most plausible-looking answer instead, and it doesn’t tell you that it’s made it up.
The mitigation is to remove the guesswork: give the model a structured, governed, live source, using RAG to retrieve it, and guardrails to ensure it tells users if it cannot answer them. This is why data architecture is so important; a well-structured single source of truth ensures answers are reliable enough to act on.
# What is an AI cost control?
Every AI query consumes compute, and compute is billed. Across an operation running thousands of queries a day it can represent a significant cost.
Cost controls mean visibility over what AI is being used for, by whom and at what price, plus the ability to set limits and route work to appropriately sized models, or deterministic (non-AI) systems, when AI isn’t actually needed.
In Gen10 systems, Conductor.AI is where you set up your cost controls and other AI governance, as well as where you monitor spend and adjust your AI strategy over time.
3. Managing physical trade complexity
# How do you manage complex pricing in your CTRM?
Physical contracts are often priced as a formula rather than a fixed price, referencing an exchange curve, adjusted for differentials, quality and costs, and recalculated as those move. CommOS lets you weight several exchanges or references into your own composite curve, then save and reuse it. And the same formula-based approach extends to FX and interest calculations within the contract, all updating with a click as the live situation changes.
Read more Pricing Concentrates & Ores Requires a Flexible Pricing Engine
# How do you manage differentials, assays and certification?
Differentials, premiums, discounts, and associated terms are a vital but complex role in ensuring a trade accurately captures the correct value of a lot’s quality, origin, certification etc. In CommOS, valuations update with a click as new quality data is received or uploaded, and that same live data feeds pricing and invoicing within the one system. Certification is also linked to virtual lots and works the same way. Being attached to the virtual lot means that as well as managing mass-balance credits, you can build a full chain of custody record.
Read more Metals traders – close the information gap on assay management
# How do you manage allocation and lot-level data?
CommOS makes lot allocation simple by showing your logistics team everything that matters about unallocated stock in one place, including its location, quality and certification, and checking a proposed allocation against contract tolerances before it's confirmed. For commodities like cotton, coffee, cocoa and metal concentrates, that stock is tracked at the individual bag, coil, or bale level, so quality, origin and certification stay attached to it as it moves. Warehouse reports update the record directly, that same data generates your shipping documents, and each lot's quality feeds pricing and invoicing with one click.
4. Risk
# What is commodity risk?
Commodity risk covers price, basis, currency, credit, logistics and operational exposures, and the categories rarely stay separate: a price spike raises margin calls, which raise funding needs, which raise the odds of a counterparty defaulting.
Gen10's view: CommOS manages all of these risks in one system: price, basis, currency, credit, counterparty and logistics risk all update from the same live data, so a change in one shows up in your exposure to the others immediately. Traditional CTRM systems typically only managed financial risks, but because CommOS is a full Commodity Management System, it brings in the wider commodity risks, and using one connected system means fewer operational risks too.
# What is geopolitical risk, and why does it matter so much in commodities right now?
Geopolitical risk is exposure to government and conflict-driven events that change what can be traded, who it can be traded with, and how it physically moves: sanctions, export controls, tariffs, and closed or contested shipping routes. In commodities it rarely stays isolated. A blocked strait raises freight and war-risk insurance, which changes delivered cost, which can undercut a contract signed under different assumptions.
Gen10's view: A Commodity Management System can’t stop a strait closure or a licensing change, but it can close the gap between the event and the response: flagging which contracts, counterparties, vessels and routes are exposed the moment a sanctions list, tariff schedule or export ban updates, rather than days later once someone has pieced it together from documents and spreadsheets.
# What is operational risk in commodity trading?
Operational risk is the risk of loss caused by your own processes and people. It's the hardest risk to eliminate and the easiest to underestimate, because it hides in the gaps between systems: copying or typing mistakes, a step forgotten under pressure, and missing documentation are all common human errors leading to operational risk.
Gen10's view: System automation means data only needs to be uploaded or input once, approval workflows prevent actions until they are approved, and there are many different alerts to ensure deadlines, mandatory documents, tolerances, and other controls are all followed. CommOS also logs every action automatically, so if something does go wrong you can trace what happened without spending hours tracking back and comparing separate systems.
# What does real-time risk management actually look like?
Real-time risk management means that reports on positions, exposure and P&L reflect what has just happened; a price fixed, a shipment loaded, an inspection result received, without an overnight batch, manual reconciliation or manually updating a spreadsheet.
It is important to discuss reporting in any CTRM demo to understand what data your teams will be able to get out of the system and how relevant and timely that data is. Be sure to ask for specific timelines and formats.
Read more Beyond the Spreadsheet: Real-Time Risk Management for Commodity Traders
5. Compliance, traceability and sustainability
# How do you manage commodity traceability?
Traceability data is generated across farms, mills, inspections, warehouse reports and shipping documents, as well as by your own operations. This usually means data is shared via a combination of email, PDF documents, spreadsheets, and occasionally an API between systems. The data then has to remain attached to the real-world stock across splitting, blending, storage, transformation, and logistics before a customer or auditor asks for it.
CommOS manages this with virtual lots: a digital record of the physical lot that carries its origin, certification and quality data from the point of creation. As the goods split, blend and move, the virtual lot updates automatically from file or API imports, for example when a warehouse confirms a movement or an inspection company sends a result, so the record builds itself as you go rather than being reconstructed from inboxes.
# What is the EUDR? Who does it apply to, and when?
The EU Deforestation Regulation requires that seven commodities; cattle, cocoa, coffee, oil palm, rubber, soy and wood (and products derived from them) are not linked to land deforested or degraded after 31 December 2020, and were legally produced.
Operators placing these goods on the EU market or exporting them must submit a due diligence statement supported by geolocation data for the plots the commodity was grown on. After two postponements, the obligations apply from 30 December 2026 for large and medium companies, and from 30 June 2027 for micro and small enterprises outside the timber sector. A simplification package published in May 2026 reduced the administrative burden but left the core traceability and due diligence requirements intact.
# What is CBAM?
The Carbon Border Adjustment Mechanism puts a carbon price on certain imports into the EU, so goods produced where carbon pricing is weaker do not undercut EU producers subject to the Emissions Trading System. It covers cement, iron and steel, aluminium, fertilisers, electricity and hydrogen, plus selected precursors.
The transitional, reporting-only phase ran from October 2023 to the end of 2025. The definitive regime began on 1 January 2026: importers above a 50-tonne annual threshold must hold authorised CBAM declarant status, report verified embedded emissions annually and surrender certificates against them. The first declaration and surrender falls due on 30 September 2027, covering goods imported during 2026.
# What is CSRD? What is CSDDD?
CSRD and CSDDD are often confused. CSRD, the Corporate Sustainability Reporting Directive, governs what you must disclose about sustainability performance. CSDDD, the Corporate Sustainability Due Diligence Directive, governs what you must do about human rights and environmental impacts in your operations and value chain.
Omnibus I narrowed both from 18 March 2026: higher thresholds mean fewer companies are in scope, and CSDDD liability and fines were reduced. CSRD now applies to financial years beginning on or after 1 January 2027, CSDDD from 26 July 2029. For a commodity business, with data changing hands at every stage from farm or mine to your own warehouse, you need to be able to evidence what you report.
# What is Peppol?
Peppol is an international framework for exchanging electronic business documents, including invoices, credit notes, and contracts, in a standard format across a shared network. Every party needs just one integration to this shared network rather than creating multiple data-sharing systems. E-invoicing via Peppol is already mandatory for B2B transactions in Belgium, and other jurisdictions are set to mandate it, with a full EU-wide rollout planned by 2030.
CommOS integrates directly with your Peppol Access Point. The invoice is created in CommOS as usual and routed to the Access Point automatically, then Peppol directs it to your counterparty. Because CommOS already holds the operational and quality data, pricing, invoicing and any queries are all managed in the one system, with provisional and final invoices, credits and reissues updating everywhere automatically.
# What does “compliance as a by-product” mean?
Compliance obligations don't all occur on the same clock. Some, like counterparty and sanctions screening, have to be met before a contract is agreed. Others, like records and trade surveillance, run continuously. And some, like certification audits, bank due diligence requests and regulatory examinations, land periodically or with little warning.
Compliance as a by-product means that compliance evidence already exists, because traceability data, counterparty checks, approvals and documents were captured in the system of record as the work was done, rather than being manually gathered from different sources after the fact. It is one of the five principles CommOS is built on.
6. Buying, implementing and running a system
# What should a CTRM RFP cover, and why shouldn’t you ask AI to write it?
A useful RFP describes how your business actually works: the commodities and contract types you trade, your pricing mechanisms, how goods move, which workflows matter, and what you expect to be doing differently in future. It should provide a conversational starting-block between your company and the CTRM vendor, so a long, generic list of several hundred functional questions dilutes and buries the important questions.
This is also why generating an RFP with a general-purpose AI tool tends to backfire. An RFP is your chance to work out what the business actually needs, and the thinking is a valuable part of that process. Don’t lose that value by delegating the thinking to an AI. By all means, use AI to make suggestions, but the process improvement ideas can only come from the people who live with the process day-in, day-out.
# How long should a CTRM implementation take?
A cloud CTRM can technically be deployed in a matter of hours, but that isn't the same as being ready to run your business on it. What impacts the realistic timeline are: the number of commodities and entities in scope, how much reference data has to be migrated, how many integrations are needed, and how quickly the business can make decisions and release people for training.
Gen10 implementations can take as little as a few weeks, but for most companies the realistic timeframe is in the months, depending on requirements, data migration and training schedules.
# What is a super-user? What is a power user?
A super-user and a power user are different things. A super-user is a role within the system, with elevated permissions to configure settings or manage other users' access. A power user is someone in your business, often also a super-user, trained in depth on the system and acting as the internal point of expertise. They can answer colleagues’ questions, test releases, train new starters, and translate between what the business wants and what the system can do.
We encourage clients to identify their power users early and give them real ownership of the system, because they are the people who make it work day to day.
# What is technical debt?
Technical debt is what you pay for not keeping software up to date. It typically starts small: a CTRM can't do one thing, so the team works around it in a spreadsheet. That's fast, but now there are two things to maintain, and next time the business needs to change something, there are more moving pieces to update.
Some technical debt is normal: there's always a gap between a changing business and the technology that supports it. The difference is whether your provider closes that gap through regular, agile updates, or whether workarounds pile on top of workarounds until a legacy system becomes too complex to change.
Gen10's view: CommOS updates continuously as part of a multi-tenant cloud platform, so regular upgrades roll out to every client. We work with each client to schedule those upgrades at a time that works for their business.
# What is interoperability? What is an API? What is MCP?
An API is a defined way for one system to request data from, or send instructions to, another without a human in between. MCP (the Model Context Protocol) is a newer, related idea: a standard way for an AI agent to discover and call the tools and data sources available to it, rather than needing custom integration code for each one. Interoperability is the broader ability for a system to work with the other systems you rely on, including ERPs, market data providers, inspection companies, vessel trackers, and others.
During a CTRM selection process, ask which integrations already exist and are running in production for a good sense of how interoperable a system really is.
Read more Interoperability: have we finally learned from the past?
# What is system agility, and why does it matter for a CTRM?
System agility is interoperability and development speed working together. A CTRM has to keep connecting to new systems as the business adds them. It also has to ship the features that put that data to work, quickly.
The list of systems a trading firm connects to only grows. Traceability and origin data, satellite and weather-derived risk signals, and AI-assisted analytics have all become relevant to commodity trading in the last few years, on top of the market data, ERP and logistics connections firms already had. A system built for agility treats a new integration as an expected evolution, not a multi-year project. When evaluating a CTRM, it’s worth asking not just what it connects to today, but how that list has changed over the last two years.
Gen10's view: CommOS runs as a single multi-tenant cloud platform, so new integrations and features ship as part of the ongoing product development. It’s also built to sit alongside the systems you already run: a payment posted in the ERP updates credit limits and risk exposure in CommOS automatically, and your vessel tracker’s data shows in CommOS alongside your shipments.
# What questions should you ask a CTRM vendor before signing?
The questions worth asking are rarely about features.
- Who will manage our implementation, and have we met them yet?
- What happens when we need something the system does not do down the line?
- Are all your customers on the same version of the software? How do you manage client upgrades?
- How often do you release new versions, and what does an upgrade cost?
- Can we get our data out without asking you? What does that look like in practice?
- Do you have reference clients in a business like ours? Who are they?
Still have questions?