The next normal: Accelerate your digital commodity management journey - The power of one - Eka ...
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WHITEPAPER Overview Trading in volatile markets could lead to plenty of opportunities for more profits, but it also comes with higher risks. While commodity markets have always been volatile, the impact of COVID-19 on customer behavior has been sweeping and immediate. Spending across most industries is down and purchases have shifted to digital and contactless engagement. Static, on-premise CTRM systems do not work in volatile markets because they are not agile and weren’t made to adapt to client needs. They cannot be fully managed in a mobile environment with remote demos, flexible modules, and remote installations. These traditional systems can’t leverage modern collaboration tools like in-context chat and data sharing and they don’t use machine learning principles to spot opportunities, resulting in decisions that do not reflect real-time market conditions. To maintain a competitive edge and successfully navigate these new market conditions, you must look beyond inflexible CTRM & ERP systems and spreadsheets and adopt a more intelligent approach. You need a CTRM system that helps you make better decisions, faster, and is backed by data and real-time insights, not intuition. In this white paper we will demonstrate use cases from day-to-day trading scenarios to demonstrate how commodity enterprises can transform their way of working, starting with how the speed of decision making is faster on a digital cloud platform. 2 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER The evolution of CTRM and ETRM Commodity markets are changing in ways that no one could have predicted even a few years ago. Worldwide access to high-speed internet and cellular service, advances in Volatility increasing in 2020 computing power, innovative technology such as drones, the In a post COVID-19 environment, geopolitical Internet of Things, AI and machine learning have transformed changes, trade battles and tariffs are shifting commodity management from data-intensive to data around the globe. Supply chain pressures overwhelming. have exploded, with food, chemicals and essential commodities under new scrutiny Commodity trading has always been data-intensive, and regulations. Commodity supply patterns requiring traders to monitor and analyze mark-to-market, are changing, and costs are increasing. From position, risk limits, physical trading, accounting, derivatives, aluminum to soybeans, once reliable sources VaR, compliance, and logistics. Commodity Trading and of supply are quickly becoming uneconomic Risk Management (CTRM) software was developed to help or being lost entirely as countries erect new companies improve commodity management. barriers to imports. However, traditional CTRM software and its related Energy Consumer Packaged Goods (CPGs) and Trading and Risk Management (ETRM) software can fabricators could be particularly exposed if only help so much because they were not designed to these trends, first established in mid-2018 and incorporate data from outside the trading system. Creating exacerbated by COVID-19, continue in 2020 reports that incorporate external data requires relying on and beyond. spreadsheets and custom systems, and often results in Companies that import and consume errors and multiple versions of reports. These systems also commodities for finished products will need tend to be static, running reports at specified times (such as to quickly identify new sources of supply and end-of-day reports). They are not designed for on-demand determine the financial viability of the various analytics and reporting. options available to them. Most commodities have variable grades and qualities, so recipes But the world has changed. Today, data comes to companies and production plans must be thoroughly continuously, in real time and in a variety of formats and analyzed, and potentially adjusted, for these systems. Commodity trading companies need to analyze firms to continue to address safety and data fast, because the world does not wait for pre- quality and operate profitably. scheduled reporting cycles. Commodity trading companies need to analyze changes in real time, to flex and expand with Price volatility and downward pressure on the market. prices will likely increase in 2020 across virtually all commodities. With lower demand for almost all commodities, geopolitical instability and increasing discord within OPEC, rapid and significant price movements are greater than any time in recent history. 3 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER What is Eka’s cloud platform for CTRM? Eka’s Cloud Platform for CTRM disaggregates CTRM/ Eka’s Cloud Platform extends commodity trading across CM into smaller composable applications, reducing reliance the entire value chain, creating a powerful, flexible, dynamic on difficult and expensive to maintain monolithic CTRM system to optimize trading efficiency and proficiency. systems and moving towards more agile and scalable cloud-based platforms. It turbocharges commodity trading It boosts commodity management performance and risk management by increasing the breadth, depth, and immediately by speed of commodity management systems. Eliminating data siloes Breadth It is fully integrated across the entire value chain, ensuring Eka’s Cloud Platform goes beyond trading and risk everyone has access to all the data they need whenever management, connecting the entire value chain – including they need it. Users no longer spend hours or days sourcing, trading and risk, operations, supply chain, and aggregating data for reports. downstream. Companies no longer work in siloes. They gain complete visibility into the entire value chain and Extending beyond trading and risk to the collaborate more effectively with trading partners. entire value chain It enables users to make decisions based on the entire Depth picture, not just the information in their own piece of the Combining big data with advanced analytics, including AI value chain. Users can analyze and optimize operations and machine learning, commodity trading is based on deep across the entire value chain from sourcing to distribution, analysis and real-time insight, not intuition or “what we did inventory movement, operational efficiency, and more. last year.” Enabling true collaboration Speed It enables business collaboration. Eka enables data sharing Eka CTRM aggregates and analyzes data in real time, and collaboration with internal teams and external trading providing on-demand analysis and reporting and enabling partners digitally and in real time, enabling real-time users to make better decisions, faster. In volatile markets, communication and collaboration so users can move fast to time spent aggregating data yields lost opportunities and take advantage of new opportunities or mitigate risk decreased profits.
WHITEPAPER Breaking CTRM into bite-sized applications Enabling anytime, anywhere access The power of an app-based platform is the flexibility to A mobile platform provides real-time access from any create exactly the system and functionality needed with mobile device, because commodity markets are global and the ability to easily expand when needed. Eka’s apps can be market shocks won’t wait for normal business hours. Online used to create a new system or be integrated into existing mobile signatures and approvals make it easy to work from CTRM systems to expand their functionality. anywhere. Providing a native cloud platform Delivering self-service insights A cloud-based platform enables faster implementations and Easy-to-use apps enable on-demand reporting, so users requires no hardware, software implementations, or local don’t need to rely on business analysts to create essential maintenance. Remote demos and installations with 24-hours reports. Because Eka’s Cloud Platform provides access to support are available. Implementations are faster and easier, all available data and advanced analytics, users create the and adding new functionality is quick and easy. The system insights they need when they need them. is designed to flex and expand with the business. Connecting to both external and internal data Delivering powerful insights with AI and Eka’s CTRM integrates data from real- time market feeds, machine learning spreadsheets, ERP systems, weather feeds, regulatory, Seeded with years of deep domain knowledge, Eka provides market prices indices and more, enabling complete visibility, insights that matter the most. faster analyses, and better decision making.
WHITEPAPER The cost of relying on traditional systems In rapidly changing markets, the costs of relying on older, disconnected systems are significant. Upfront costs of implementation. Traditional CTRM Manually incorporating data from external systems. The is implemented on premise and involves lengthy problems of integrating data manually are twofold, it takes a implementations and heavy IT involvement. Even lot of time and aggregating data manually creates errors. systems claiming to be cloud-based often require ▪ Automated data aggregation takes seconds. Manually long implementations to integrate systems. Digital collecting data from various systems and inputting all commodity management provides a simple, cloud- based that data into spreadsheets or other systems takes implementation with prebuilt connectors. It requires limited hours – or even days. While those hours or days pass, IT involvement and goes live in just a few weeks at a fraction markets continue to move, and opportunities are lost. the time and cost of traditional CTRM systems. ▪ Manual data aggregation results in errors – cut and paste errors, incorrect formulas, collecting the wrong Buying more than you need. Traditional CTRM and ETRM data. People make mistakes, and data errors can result systems have an all-or-nothing framework, so you purchase in making bad trades. Automated systems do not make the system and pay for the functionality whether you need mistakes. it or not. Eka’s app-based platform enables you to buy just what you need, and nothing more, but also provides the Making suboptimal decisions. Relying on data that could be ability to add functionality quickly and easily later as you several days old does not work in rapidly changing markets. grow. Implement the risk management you need today and By the time the data has been analyzed, and decisions are add accounting and hedging tomorrow – it’s seamless, easy, made, the market has changed again. In fast moving markets, and cost-effective. you need to be smart and fast. Relying on systems that don’t use real-time data results in missed opportunities.
WHITEPAPER How Eka’s digital platform turbocharges commodity management Digital commodity management monitors and analyzes data from across the entire value chain in real time – 24 hours a day. It delivers visibility into the entire value chain, from internal systems monitoring inventory, position, operations, and logistics to external data including market feeds and weather reports. The system provides real-time alerts when user-defined thresholds are breached, enabling rapid response to mitigate risk or capitalize on new opportunities. Designed to enable users to stay ahead in rapidly changing markets. ▪ Access data and insights from any mobile device, ▪ Share insights with your team by using the chat feature because commodity markets do not stop to wait for you or any messenger app. The ability to collaborate when to arrive at your desk. Today’s workforce will work from you need to, not just when you are sitting at your desk, anywhere. provides a first mover advantage that can drive profits. ▪ Use AI and machine learning to create deep insights and ▪ Collaborate across the value chain. Digital commodity make better decisions. Run simulations, analyze real-time management connects the entire value chain, so you can and historical data, look for trends, optimize production, negotiate with suppliers and customers digitally and in improve shipping and logistics, and more. real time and avoid delays inherent in email and phone exchanges. Eka’s cloud platform enables you to collaborate more, make better decisions faster and outmaneuver competitors. 7 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER Eka’s cloud platform fuels energy trading Imagine you are a crude oil trader and you are out of the office attending a conference. While out of the office, you and the other traders learn of a cargo that has just become available due to a canceled commitment. What happens next varies significantly depending on if you use Eka or traditional CTRM. Your process with Eka’s cloud platform Traditional CTRM ▪ All the information you need to decide whether to ▪ Now you are in the same situation, but you have a purchase the cargo is right in your hands. traditional CTRM system. This system has data silos ▪ You start by checking your position for the delivery and does not support real-time collaboration and period to see if you need the cargo. You check credit analysis on mobile devices. What happens? limits and exposure for the delivery period to ensure ▪ You email your team to request a position report for that you won’t breach any limits if you complete the the cargo delivery time. You email credit and market purchase. risk teams to confirm availability of credit and whether ▪ You evaluate the most profitable destinations to sell the exposure would remain within boundaries if the cargo. You enter the trade as a simulated deal for a final purchase takes place and you wait… limit check and to refine shipping and other secondary ▪ You receive emails back confirming interest in the costs. cargo and credit checks, but now you must wait for end ▪ You review the simulations and make a decision…The of day reports to evaluate position. You wait… entire process took just an hour! ▪ Having run the EOD report overnight, the risk manager takes the output and creates a business impact report and verifies it against business policies. You receive an email stating that the deal looks good, but the risk team needs their analysts to run a detailed scenario check. You wait… ▪ The scenario analyses arrive via email and you review it, call your team, and make the decision to purchase the cargo. The cargo has already been sold. The entire process took more than a day and resulted in a missed opportunity. 8 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER Farmers increase sales efficiency by trading directly with agriculture companies Today, many farmers rely on middlemen to coordinate sales time. The entire process can be completed in just a few with large agribusinesses. With Eka’s Cloud Platform, this minutes, without the delays inherent in email and telephone extra step is eliminated – saving time in the negotiation negotiations. process and providing a level of visibility that benefits both farmers and agriculture companies. The app connects directly with all internal systems, so the contract and other necessary documents can be uploaded It’s simple. Instead of waiting for a broker to negotiate a deal, and synced across the entire agribusiness instantly. Both farmers access an app on their phone, computer, or tablet the farmer and the agribusiness can view all information to see what agribusinesses are looking for which crops and about the transaction, including delivery and payments, on at what price. They use the app to input their bid to provide the app. It’s quick and easy. the crop and negotiate directly with the agribusiness in real Empower procurement with Eka One of the biggest problems with traditional CTRM systems What happens next? The trader opens the Procurement app is the lack of real-time insight. Procurement professionals on a tablet and begins running simulations. He evaluates must secure raw materials at the best price, on time and expected results based on the price swings and shares within budget. If there is a sudden shock to the market – a these analyses with his team via the chat feature. All the pandemic, hurricane, fire, or earthquake; new tariffs; civil team members review the analyses and they schedule a disruptions et al – they need to assess the impact on their meeting for first thing in the morning at 8:00 am, to create portfolio and ensure they can still get the materials they a plan and execute a procurement and hedging strategy for need at an acceptable price. the new market reality. By 8:30 am they have a plan in place and are moving on to the next order of business of the day. At every step of the way, Eka’s Cloud Platform is superior to traditional CTRM. The moment the disruption occurs, prices Meanwhile, the other trader finally learns about the price will be impacted. While two traders in the same city sleep shock and begins collecting data on current prices, peacefully, the price of one of their inputs is skyrocketing. historical prices, and current and forecasted purchases. The difference is that the trader with Eka will receive an alert Because all of this information is stored in disparate the moment the price crosses a pre-defined threshold and systems, manually aggregating it takes several hours, so they the other trader will not. The alert enables the trader to start do not begin analyzing it until the next day. At that point, evaluating options and creating a plan before traditional they run simulations and advanced analytics to evaluate CTRM users even know there is a problem. options for a procurement and hedging strategy, but they are two full days behind the team using Eka, so prices have changed, contracts have been secured, and opportunities have been lost. 9 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER Improve risk management: Story of a U.S. based dairy company background A US dairy organization was looking for an effective way by the time it could see its true exposure, creating missed to monitor profit margins from milk and processed milk opportunities. Its risk policies were not in line with business products. The company was spending too much time defined thresholds and risk limit breaches often occurred gathering data for analysis. and were not immediately detected. Prior to implementing Eka software, the company would Analysis of gains and losses took a long time to create, manually pull data from existing systems – spreadsheets for thereby increasing risk due to delays in identifying market inventory, Oracle ERP for physicals, direct brokers’ statement risk. from multiple brokers, different formats for derivatives, spreadsheets for additional information on inventory, market data from multiple data feeds and websites – finally apply rules and adjustments to handle exceptions, process issues, and flag inaccuracies. Because this was a time-consuming process, the company’s hedging strategy wasn’t optimized. The market would move
WHITEPAPER How Eka’s cloud platform helps Eka’s rapid deployment means a quick ROI. The dairy The management team can evaluate budgeted spending, company implemented Eka’s Position, Mark-to-Market, actual spending, projected spending, and coverage across Procurement and Risk apps in just 8 weeks. Now, they can the organization in real-time. Using the Position and Mark- consolidate and automate contracts and inventory from ERP, to-Market apps, the company can view exposure at the budgets and forecasts from spreadsheets, and CSV broker click of a button instead of waiting days for manual reports. statements from FCM for all products. Eka’s platform also eliminates any chance of human error while it aggregates, blends, and analyzes inputs from all data With Eka’s platform the company can aggregate data from sources to provide one, accurate visual representation of disparate systems, helping it to mitigate risk exposure. position in real-time. Users can create instant executive dashboards and receive real-time alerts for breaches of risk limits, enabling a quick response to increased risk. Traders make smarter stock and sell decisions A trader balances managing physical positions or inventory storage, logistics, markets, and shipping. Eka’s Cloud purchased from suppliers with trading to maximize profits. Platform enables traders to access all this information on To make the most profitable decisions, the trader must stay one platform in real time. on top of open positions, inventory, perishability (if relevant),
WHITEPAPER The Process With Eka cloud platform Traditional CTRM ▪ The trader logs into the platform to check his inventory • The trader checks his open contracts and inventory position and open contracts in the morning. With Eka position in the CTRM system in the morning to he can access overall exposure across his physical understand his overall stock position. inventory and financial position in one place and analyze • He looks at the market curves using an external system. his position with real-time market prices and current news He runs what-if scenarios on spreadsheets to simulate impacting the market to see what his open positions are. varying market conditions and evaluate decisions to sell ▪ Still logged onto the Eka Cloud Platform, the trader on spot markets or hedge future positions with exchange quickly checks the Mark-to-Market app using current contracts. pricing and identifies the positions he wants to sell. He • He then manually checks the credit of counterparties runs a few what-if scenarios to evaluate the potential with his mid-office and decides who to sell to. He impact of news and prices on potential trades. completes the trades and manually enters them into the ▪ He compares selling on spot markets against hedging CTRM system. After execution, the back office matches future positions with exchange contracts. He identifies the trades manually with vessel/inventory logistics to counterparties that buy his stock and runs a live credit complete physical delivery. check on counterparties prior to confirmation. • He executes these transactions and is immediately able ▪ He then runs a three-way pegging to match his open to see real-time inventory forecasting showing his current position/purchase/sales/shipment and planning to ensure position net of inventory and sales. he maximizes efficiency end-to-end. • He then waits until the next morning for the end-of- day ▪ He executes these transactions and is immediately able report to understand his overall position and P&L versus to see real-time inventory forecasting showing his current market prices. When he arrives at work the next day, he position net of inventory and sales. starts the day by evaluating position and P&L based on ▪ At the end of the day, he scans through the P&L and the end-of-day report and once again must check open position reports and shuts down for the day knowing contracts and inventory position based on this updated exactly where he stands because he has stayed on top of information. He executes a series of trades. He is always his position all day. He does not need to wait for end-of- out-of-step with the market. day reports. Increase profits with back-to-back trading Traders use back-to-back trading to mitigate risk. The trader purchases the physical commodity from the producer and mitigates risk by selling this position to a customer. For example, a trader makes a commitment to purchase six-month corn from a farmer in Kansas and goes short on corn with Nestle in Illinois for the same period. 12 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER How does Eka’s cloud platform help? When a trader logs into the Eka Cloud platform to check his able to access multiple data sources and assess arbitrage position and P&L in the morning, he gains an accurate, real- opportunities. The trader can now log the trades into the time view of exposure and P&L based on current market system. Because Eka provides one platform for all trading prices. He can quickly evaluate the impact of the latest news applications, the back office has the same information in on his position and P&L. hand immediately and can match the trades to available vessel logistics ensuring the delivery from the supplier He can run real-time Mark-to-Market analytics using current matches the pickup logistics from the customer. prices, identify open positions and run what-if simulations to evaluate the impact of various trades he can do to With Eka, the trader can evaluate position and P&L with offset the impact of current events on his position. He can real-time market checks and make further tweaks, if needed. examine every scenario using real market prices, his current Even better, he receives an alert if market price shifts position and P&L to identify the actions he needs to take. require him to act, so he worries less and is free to focus on taking more positions to boost profits. Because the integration layer in embedded in the platform with multiple as-is market data connectors, all data is instantly integrated with the system. This way traders are How does this compare to traditional CTRM? When the trader wants to check his position on contracts in end-of-day closure report to understand overall end of day his CTRM system he must run all impact analysis on position and P&L versus market prices. When he arrives at spreadsheets outside the system. He looks at market curves work the next day, he starts the day by evaluating position on external systems and must use the previous day’s end- and P&L based on the end-of-day report and once again of-day reports to evaluate the impact on mark-to-market. must execute a series of trades. He is always out-of-step If he wants to evaluate what-if scenarios, he has to use with the market. spreadsheets. When he completes the trades on the CTRM, the back office must execute the transaction matching available logistics (vessel & date) to the purchase/sale. He then waits to run an 13 | At The edge of tomorrow: Commodity management reimagined
WHITEPAPER Conclusion Traditional CTRM systems are inflexible and disconnected, forcing commodity companies to work out of step with the digital productivity of other industries. This has meant lower productivity, slower decision making, and overall suboptimal markets for all parties from farmers to traders, logistics companies, food manufacturers and end consumers. To be profitable, the business of trading needs a robust, cloud commodity management platform. One that fully incorporates realities of uncertain markets, adapts to changing levels of volatility in real time, and not previous day prices or end of day reports. Commodity businesses need a flexible solution that can make disconnected systems work like a collective brain by analyzing data from disparate sources and providing solid insights backed by data rather than gut instincts, so they have every bit of information that helps them take the best decision to move at the speed of markets. 14 | At The edge of tomorrow: Commodity management reimagined
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The power of one. To learn about how Eka can add value to your operations. www.eka1.com info@eka1.com About Eka Software Solutions Eka Software Solutions is a global leader in providing digital solutions for Trading & Risk, Supply Chain Management and Financial Services driven by Cloud, Blockchain, Machine Learning and Analytics. The company’s best-of-breed solutions serve the entire trading value chain across agriculture, energy, metals and mining and manufacturing markets. Eka’s Cloud Platform provides advanced analytics, one source of data and an automation engine, providing maximum flexibility and investment protection as business needs and market requirements change. Eka is committed to ensuring its 100+ clients can work from anywhere and collaborate across ecosystems within a secure and trusted environment. For more information, visit www.eka1.com and follow us on LinkedIn and on Twitter.
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