Real-Time Market Adjustments

Hourly electricity pricing is over in a month 😮 But that’s a good thing. Starting October 1, all electricity markets will be per 15 minutes instead of per hour. Why? Because the power system is a physical machine that works in real time. Until now, we’ve aggregated consumption in one-hour blocks. This is a simplification. That simplification creates challenges for the grid: market schedules and system operations don’t fully sync. The shift to 15-minute granularity fixes part of that: ✅ Better system alignment: Market schedules match grid reality better ✅ Fewer imbalances: Less cost to correct imbalances ✅ Smoother renewable integration: Easier to handle wind and solar swings ✅ Sharper price signals: Clearer scarcity and flexibility value The illustration below shows this. A 15-min aggregation follows the actual consumption much better than the one-hour alternative. When physics and economics clash. Physics always wins. This is an important step toward aligning power markets with the physical realities of the energy system. But it will change how we consume, trade, and plan energy. So better use the next month to prepare wisely ⚡

What if your quarterly reset cycle is quietly costing you margin every single week? In the U.S., retail sales grew about 𝟑.𝟕% 𝐢𝐧 𝟐𝟎𝟐𝟓 and foot traffic is still positive, even if softening late last year.  That tells us consumers are coming in but what’s changing is how they shop and how quickly their preferences shift. Yet most store resets the big layout, display, and planogram overhauls and still happen quarterly or seasonally. However, those big swings no longer match how customers behave.  Demand now fluctuates at shelf-level in days, not months. This misalignment creates a 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐠𝐚𝐩: 1. A trending SKU waits weeks for a prime position 2. A high-margin display stays outdated too long 3. A competitor’s localized promotion steals attention Instead of overhauling an entire store, leading teams are embracing 𝐦𝐢𝐜𝐫𝐨-𝐫𝐞𝐬𝐞𝐭𝐬, targeted adjustments driven by real performance data. Micro-resets are about responsiveness: 𝟏. Respond to real signals from real stores 𝟐. Fix specific execution gaps fast 𝟑. Keep your floor optimized day-to-day Real-time execution is the ability to detect drift and act quickly and is now the true differentiator between stores that struggle and stores that lead. In my experience working with store operations teams, the retailers gaining ground are not the ones executing the biggest resets.  They are the ones able to detect drift early and act within days, not quarters. At Pazo, we see this clearly: the future belongs to retailers who treat execution as a continuous discipline, rather than just a seasonal event. Because in modern retail, waiting is expensive and speed wins. #RetailInnovation #StoreOperations #CustomerExperience #RetailStrategy #DataDrivenRetail #RetailExcellence

A landmark day in ERCOT, as Ancillary Services are now procured by the system operator in Real-Time, every 5 minutes. The implementation of Real-Time Co-Optimization has been a massive focus for anyone involved in power systems in Texas since I first entered the industry more than 6 years ago, and it's exciting to see it finally come to fruition. So far, any market uncertainty evident in higher clearing prices for Ancillary Services in yesterday's Day-Ahead Market has been counteracted with limited volatility upon reaching Real-Time operations. While batteries may have been hesitant to commit to hour-long Ancillary Service commitments in the Day-Ahead Market under the new state-of-charge guidelines, it's clearly not affecting them on an interval-by-interval basis in the Real-Time Market, as Ancillary Services have returned to their now-customary levels of well below $5/MWh. On the Energy side of things, Real-Time prices have cleared somewhere between 50 and 75% of Day-Ahead prices in every interval thus far. This, of course, is likely in part related to uncertainty in yesterday's Day-Ahead Market regarding this morning's cutover. However, it is also a good indication that, so far, RTC is doing what is intended - increasing flexibility for market participants and ERCOT, and therefore efficiency in market outcomes for consumers. Now, we'll just have to eagerly await the additional information that will lie within the disclosure reports released 60 days from today...

You’re running a thriving retail business, your sales are soaring, and customer demand is through the roof. But behind the scenes, there’s a ticking time bomb—your inventory management. Stockouts, overstock, and delayed orders are quietly eroding your profits and customer satisfaction. Here’s the hard truth: In today’s fast-paced retail environment, outdated inventory management is a silent killer. It’s not just about knowing what’s in your warehouse; it’s about having real-time insights that empower you to make smarter decisions on the fly. Why does real-time inventory matter? Prevent Stockouts and Overstocks Real-time data gives you a clear view of your inventory levels at any given moment. No more guessing games or reactive reordering. You can see exactly what’s selling fast and what’s gathering dust, allowing you to adjust your orders accordingly and keep your shelves perfectly stocked. Boost Customer Satisfaction Imagine a customer walks into your store or clicks on your website to buy a product, only to find it’s out of stock. Frustrating, right? Real-time inventory insights ensure that your customers never face this issue. By knowing what’s available, you can promise—and deliver—on your customer experience every time. Optimize Your Supply Chain With real-time insights, you can spot inefficiencies and bottlenecks in your supply chain as they happen. This means you can quickly adapt, reroute shipments, or reorder products to keep everything running smoothly. It’s like having a 24/7 pulse on your entire operation. Increase Profit Margins Real-time inventory management isn’t just about avoiding losses; it’s about maximizing profits. By reducing excess inventory, cutting down on storage costs, and improving turnover rates, you’ll see a direct impact on your bottom line. Adapt to Market Changes Instantly The retail world moves fast. Trends change overnight, and customer preferences are fickle. Real-time insights let you react immediately—adjusting your inventory to meet new demands without missing a beat. It’s the difference between leading the market and playing catch-up. Retailers who embrace real-time inventory insights are not just staying afloat—they’re thriving. In an era where data is king, having the ability to monitor, analyze, and act on inventory data in real-time is no longer a luxury—it’s a necessity. If you’re ready to elevate your retail game, it’s time to ditch the outdated systems and embrace the power of real-time insights. The future of retail isn’t about guessing what’s next; it’s about knowing it. Let’s keep building. Follow Ekyam.ai #realtimeinsights #supplychain #b2b #Inventorymanagement

Tariff volatility is here. Can you adapt fast enough? Entering 2025 we are facing a radically altered trade landscape. Tariff proposals range from 10% to 60%.  🚢 Organizations must manage rising costs, sudden supply disruptions, and inflationary pressures, all while contending with fast-changing rules and potential retaliation from trading partners. Yet volatility also creates opportunities for organizations who are prepared. 🧭 𝗚𝗿𝗮𝗽𝗵-𝗯𝗮𝘀𝗲𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗰𝗮𝗻 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘄𝗲𝗯 𝗼𝗳 𝘀𝘂𝗽𝗽𝗹𝗶𝗲𝗿𝘀, 𝘁𝗮𝗿𝗶𝗳𝗳𝘀, 𝗮𝗻𝗱 𝗹𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗿𝗼𝘂𝘁𝗲𝘀. Here's how: 1️⃣ 𝗠𝘂𝗹𝘁𝗶-𝗛𝗼𝗽 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 ↳ Map your entire supplier network as nodes and relationships in a graph.  ↳ Visualize dependencies several layers deep, often hidden in traditional systems. 2️⃣ 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗧𝗮𝗿𝗶𝗳𝗳 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 ↳ Add tariffs to the graph and then use graph algorithms to simulate alternate sourcing paths with lower duties or better resilience. ↳ This enables decision-makers to test “what-if” scenarios, minimizing guesswork when a sudden tariff spike occurs. 3️⃣ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗥𝗶𝘀𝗸 & 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 ↳  Apply centrality and community-detection algorithms to find which suppliers or markets could cause cascading failures. ↳  Uncover clusters of high-risk exposure, allowing proactive adjustments rather than reactive damage control. Graph-based platforms help executives move beyond spreadsheets and siloed databases. They offer a living, interconnected view of all the moving parts, enabling better-informed decisions on pricing, sourcing, and expansion. 🚀 𝗔𝘁 𝗗𝗮𝘁𝗮2 𝘄𝗲 𝗵𝗮𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 𝗼𝘂𝗿 𝗿𝗲𝗩𝗶𝗲𝘄 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝗡𝗲𝗼4𝗷 𝘁𝗼 𝗵𝗲𝗹𝗽 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝘁𝗵𝗲𝗶𝗿 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗼𝗳 𝗴𝗿𝗮𝗽𝗵𝘀 𝗮𝗻𝗱 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. If your organization is concerned about how it can adapt to the new era of trade volatility, reach out and we can start the conversation. ♻️ Know someone who needs better visibility into their supply chain? Share this post to help them out! 🔔 Follow me Daniel Bukowski for daily insights about delivering value from connected data.

We're living through a structural transition in finance. Recent volatility looks like a cycle, but if you examine the plumbing, something more fundamental is happening. We're changing how capital itself is organized, governed, and deployed: For over a century, financial architecture relied on static instruments and human-bounded decisions. Stocks for growth, bonds for income, cash for safety. We assess risk quarterly and interpret policy changes long after they happen. This worked for financing railroads and factories. Assets with predictable cash flows that moved slowly. Today's economy operates differently. The core failure of modern finance is latency, not mispricing. Capital reacts too slowly to its environment. When the control system can't sense changes fast enough, the system decays through opportunity costs and misallocation. We're governing a fiber-optic economy with copper-wire finance. Capital markets serve one function: route savings to productive use under uncertainty. The traditional stack assumes assets move slowly and information travels at committee speed. But software, distributed networks, and algorithms don't behave like industrial assets. They're globally mobile, highly volatile, and subject to machine-speed feedback loops. There's a structural mismatch. To understand where we're going, consider the telephone evolution. Landlines were static. Mobile phones added portability. The smartphone wasn't just better connectivity - it was a platform shift that enabled entirely new industries. Capital markets are undergoing this exact transition. Three developments are converging: Stablecoins as the transport layer - instantly settleable, globally portable digital cash that moves as easily as information. AI as the navigator - continuous risk assessment across thousands of variables, enabling real-time adjustment rather than periodic rebalancing. Composable financial networks - modular primitives that allow capital to rebalance, hedge, and compound without settlement friction. Together, they shift capital from static allocation to continuous adaptation. Intelligent Capital Markets aren't a new asset class. They're a new operating layer for capital itself. Just as smartphones absorbed the functions of laptops and cameras, intelligent markets become the substrate on which future portfolios will be built. This transition is structural, already underway, and will define how capital survives the next decade. If you found this valuable and want weekly insights from a technologist on the future of finance, subscribe to my newsletter Disruption Capital: https://lnkd.in/ddVzZJgg

The numbers from H1 2025 just dropped, and they're telling a story that should make every hotel sales leader rethink how we operate. Global hotel rates hit their steepest decline since the post-pandemic recovery. But here's the real kicker: most reservations are now booked within just two weeks of travel. Some markets are seeing booking windows compress to just days out. Yet I'm still hearing about hotels running the same weekly revenue meetings, building static 90-day forecasts, and making pricing decisions based on last year's patterns. It's like trying to steer a speedboat with a cruise ship's wheel. The uncomfortable truth? Traditional forecasting isn't just outdated, it's dangerous. When demand can spike or crater in hours, and distribution algorithms can shuffle your ranking in seconds, your weekly strategy session is already obsolete before it ends. The properties that are actually winning right now have made a fundamental shift. They've moved from prediction to reaction. Real-time velocity analytics. Automated triggers that adjust pricing without waiting for a meeting. Teams that can spot anomalies and act within hours, not days. But here's what really gets me: while we're all scrambling to buy better technology, we're forgetting about the people caught in the middle. Your front desk team is watching upgrades walk out the door because rates changed after the guest arrived. Your sales team is trying to quote group rates when pricing is fluctuating daily. Your revenue manager is working 60-hour weeks just trying to keep up. The solution isn't just better systems, it's empowering your teams to operate in this new reality. Training them to recognize patterns, giving them authority to make real-time adjustments, and creating processes that work when everything is moving fast. What's your booking window looking like these days? Are your teams equipped for the speed of modern demand, or are you still playing catch-up? #hospitality #revenuemanagement #hotelsales #leadership #booking

While some are analyzing last quarter's data, real-time systems are acting on today's. Recent research reveals why speed creates advantages in pharma commercialization: Companies that operate 3-4x faster than industry average grow at least 3x faster and achieve 2x higher profitability. Yet most pharma companies still make decisions based on lagging data. The shift from reactive to proactive: Traditional: Quarterly claims data → Monthly analysis → Eventual action Real-time: Live prescription data → Immediate insights → Instant optimization We're seeing real-time optimization across: Sales force execution (adjust targeting in days, not months) Market access negotiations (live margin data informs strategy) Patient services design (optimize based on current fulfillment patterns) The compound effect: When you can act on insights immediately, you don't just improve performance — you create continuous improvement loops that accelerate over time. Our Real-Time Rx Graph enriches traditional aggregator data with live platform-sourced insights. Data can be visualized, shared, and acted on in real time. Learn how: Data Boom 2.0: The Power of Real-Time Data: https://hubs.ly/Q03HyLL_0 How quickly can your organization move from insight to action? #Pharma #RealTimeData #Speed #CompetitiveAdvantage BlinkRx

What’s happening in US and European insurance markets... has already made traditional underwriting look outdated. Insurance is no longer just about what happened. It’s about what is happening in real time. Across leading insurers, underwriting is shifting from static assessment to continuous risk evaluation. Not a trend. A structural shift. - Telematics is redefining motor pricing, moving beyond frequency into driving behavior, time of use, and exposure quality - Health insurers are integrating wearable data, enabling continuous monitoring and preventive risk interventions - Cyber underwriting is evolving from static questionnaires to real-time vulnerability scans and dynamic risk scoring - Property insurers are embedding climate models, geospatial analytics, and forward-looking catastrophe projections into pricing The pattern is clear: Static underwriting is losing relevance. Traditional actuarial models were built on historical datasets, periodic reviews, and aggregated assumptions. But the market now expects: Continuous data flows Dynamic pricing adjustments Real-time risk signals This creates a fundamental gap. Most actuarial frameworks were never designed for this level of responsiveness. The real question is no longer: “Is your model accurate?” It’s: “Can your model adapt fast enough?” Because in today’s market, latency in decision-making is becoming a pricing risk in itself.

ERCOT's Real-Time Co-Optimization + Batteries market change goes live in just over two months. Ancillary Services (AS) will be procured in the Real-Time Market alongside Energy. Security-Constrained Economic Dispatch (SCED) will co-optimize both, ensuring the lowest-cost solution. 👍 AS scarcity will be visible in clearing prices and locational marginal prices (LMPs), 👍 Batteries will have more flexibility to move between Energy and AS positions in Real-Time, 👎 But will also face tighter restrictions on state-of-charge (SoC) qualification. Key considerations for battery stakeholders... 1) Shifting duration requirements: ▪️ ECRS will require just 1 hour of energy capacity (previously a 2-hour requirement) - therefore, 1-hour systems will be able to qualify 100% of their rated power, which means more MW can qualify, competition rises, and clearing prices could fall. ▪️ Reg Up/Down and RRS reduce to 30-minute duration requirements - which means more MW can qualify at lower state-of-charge (SoC) positions. 2) State-of-charge visibility will be included in ERCOT's market clearing process: ▪️ The amount of storage capacity that is eligible for Ancillary Service awards interval-to-interval may decrease. ▪️ Batteries will only be able to receive AS awards based on how much energy they actively have stored, and how that relates to the energy required to hold a given service - this limits the ability for batteries to stack Ancillary Services, ▪️ However, at the same time, it potentially limits competition to provide these services in certain intervals. In the example below, under RTC+B, this 1-hour system can commit its whole rated power to ECRS in any given interval, providing SoC permits. However, it can't stack multiple services at the same time, limiting the contributing revenue streams. It chooses to commit a quarter of its rated power to Non-Spin between 6pm and 7pm because the clearing price is 4x higher than that of ECRS. (This example assumes SoC is at 100% and the system is not deployed and required to export energy over this time period) Modo Energy ERCOT subscribers should head to the Modo Energy Terminal to see what impact the RTC+B shift is likely to have on earned revenues and when this impact is expected to be most pronounced.