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Flights are 'almost always cheaper' if you depart on two specific days of the week reveals travel expert
Flights are 'almost always cheaper' if you depart on two specific days of the week reveals travel expert

Daily Mail​

time2 days ago

  • Daily Mail​

Flights are 'almost always cheaper' if you depart on two specific days of the week reveals travel expert

A travel expert has revealed the best days of the week to fly to secure a cheap flight. Dawn Morwood, co-director of Cheap Deals Away, says that travelling on two specific days will help tourists save money on their flight. Speaking to the Express, the expert reveals that flying mid-week could help travellers snap up a bargain flight. Dawn says: 'Tuesday and Wednesday departures are almost always cheaper than weekend flights.' Many British travellers try to maximise their time away by flying at the weekend so prices are generally highest on Saturday. If you're able to be flexible with your departure date, it's worth checking the price of your flight across different days. Dawn also claims that booking a flight at the earliest date possible isn't always the best way to save money. She says: 'I've seen people book flights 10 months early thinking they've got a bargain, only to watch the same route drop by £200 per person just weeks before departure. 'Airlines use dynamic pricing, which means they're constantly adjusting based on demand predictions.' However, the expert adds that booking a flight last-minute is also a risky way to travel. She explains that tourists could face 'inflated prices' and 'limited availability' as well as being forced to 'compromise' on 'accommodation quality' if they book late. According to Dawn, the ideal time to book a short-haul flight to Europe is six to eight weeks before departure. When it comes to a long-haul flight, it's best to book eight to 12 weeks ahead of travel.

Emotional Intelligence: The Next Step In Retail Dynamic Pricing
Emotional Intelligence: The Next Step In Retail Dynamic Pricing

Forbes

time13-06-2025

  • Business
  • Forbes

Emotional Intelligence: The Next Step In Retail Dynamic Pricing

Anton Timashev, co-founder and CEO at Wayvee Analytics – emotion recognition technology for capturing direct customer feedback in retail. You've probably checked the price of a flight, found a good deal and returned later—only to see the price has gone up. Or you've seen an online product's price change depending on when and how often you checked it. This is dynamic pricing in action—where prices shift in real time based on demand, competitor pricing and customer behavior. For online retailers, this is standard practice. Prices adjust constantly, helping businesses maximize revenue and quickly respond to demand. In physical stores, however, pricing has traditionally been fixed, with changes happening only through scheduled markdowns, seasonal sales or promotions. That's beginning to change. Electronic shelf labels (ESLs), AI-driven analytics and real-time inventory tracking are allowing brick-and-mortar stores to experiment with dynamic pricing, adjusting prices throughout the day based on factors like stock levels, demand or external conditions like weather. However, even with these advancements, pricing strategies still rely on past sales data, inventory movement and competitor trends. One critical piece is still missing: understanding how pricing influences customer decisions in real time—at the shelf. While demand, competitor pricing and past sales data are useful indicators, they don't provide direct insight into how customers actually perceive pricing at the moment of decision making. Retailers can track whether a price adjustment increases or decreases sales, but they don't know why. Did customers see the price as fair? Did they hesitate? Were they expecting a discount that didn't appear? Most purchasing decisions happen in front of the shelf, but retailers lack real-time feedback on how pricing influences customer intent. Unlike e-commerce, where metrics like abandoned carts or time spent on a product page provide clues about price perception, physical stores have no equivalent indicators. Instead, retailers rely on after-the-fact sales reports or surveys, which don't capture missed opportunities or hesitations. This missing feedback loop means pricing decisions are made without fully understanding how customers react in real time—leaving a gap in dynamic pricing optimization. This is where emotions play a key role, as they drive purchasing decisions far more than rational price comparisons. Most purchases aren't made through a purely logical process but are influenced by how customers feel in the moment—whether a price excites them, creates hesitation or triggers an impulse buy. What exactly happens in those few moments before a purchase decision is made? When it comes to consumer behavior, the brain plays a pivotal role in how we make decisions—especially emotional decisions. This is key when we talk about pricing. Research by Dr. Brian Knutson, a neuroscientist in consumer behavior, suggests neural activity can signal whether a customer will buy a product before they consciously make the decision. The moment when people are weighing the product's value against their emotional response to its price is where purchase intent truly forms. For retailers, understanding this subconscious process opens up new ways to refine pricing and marketing strategies to better align with how customers actually make decisions. During decision making, the portion of the brain called the medial prefrontal cortex (mPFC), a region involved in evaluating choices and regulating emotions, helps us assess options by drawing on past experiences, personal preferences and emotional responses. When we're considering a product in a store, our mPFC is actively weighing its value. Is it worth the price? Should I buy it or walk away? This evaluation happens largely on a subconscious level, with emotions playing a key role in shaping our decision—often before we're fully aware of it. Most pricing models rely on macroeconomic trends and competitor pricing, making them more about the retailer than the customer. When you bring emotional intelligence into the mix, the focus shifts to how people actually perceive prices—creating a model that's built around the customer, not just the market. Retailers have tested different ways to make pricing more customer-driven. For example, Kroger tried ESLs with facial recognition to show targeted ads and adjust prices based on who was shopping. However, this method used biometric data like age and gender, which raised concerns about bias in pricing. Emotional intelligence takes a different approach; it's about understanding how customers feel in the moment and shaping their experience accordingly. How can retailers actually use these insights? Advanced AI-powered emotional analytics can be integrated with ESL systems to measure how customers perceive different prices in real time. Since emotional response is a key indicator of purchase intent—the moment when a customer decides whether to buy—retailers can experiment with different price ranges to see what resonates best. Another possible application is A/B testing of different price points. Unlike traditional A/B testing, which relies on sales data after a purchase is made, this approach provides immediate feedback on price perception. Retailers can understand how different pricing strategies affect customer sentiment before the point of sale. While emotional analytics is opening up new possibilities for pricing strategies, there are still a few reasons why it's not yet mainstream. Many early solutions have relied on camera-based systems or biometric data, which raised understandable concerns about privacy and transparency. Newer technologies now offer less intrusive, more respectful approaches—but as with any emerging tool, it takes time to build trust and prove consistency in real-world environments. As these solutions continue to evolve and more pilot programs demonstrate their value, emotional intelligence is poised to become a more integrated part of how retailers fine-tune pricing—not just based on market logic but on customer response. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Dynamic Pricing Outperforms Time-of-Use in California EV Charging Pilot with 98% Energy Delivered Off-Peak
Dynamic Pricing Outperforms Time-of-Use in California EV Charging Pilot with 98% Energy Delivered Off-Peak

Associated Press

time02-06-2025

  • Business
  • Associated Press

Dynamic Pricing Outperforms Time-of-Use in California EV Charging Pilot with 98% Energy Delivered Off-Peak

Dynamic pricing-based pilot with MCE and SVCE demonstrates enhanced flexibility and estimated $200/year average customer savings versus Time-of-Use Rates alone. PALO ALTO, CA, UNITED STATES, June 2, 2025 / / -- New results from a smart EV charging pilot, funded by the California Energy Commission's (CEC) REDWDS initiative and implemented by in partnership with MCE and Silicon Valley Clean Energy (SVCE), highlight the significant potential of dynamic price signals in optimizing EV charging. ChargeWise California's first phase tested how a dynamic approach can improve grid stability, lower energy costs, and boost renewable energy use in California. The findings highlight that dynamic price signals and automated charging management substantially improve managed EV charging compared to traditional Time-of-Use (TOU) rates. This approach delivered up to 98% EV charging load off-peak, significantly outperforming the 60-70% typically achieved by TOU rates alone, or the 90% by combining TOU with managed charging programs. Initial Pilot Insights: 1. Dynamic Approach Outperforms Time-of-Use for EV Loads: In addition to delivering 98% EV charging off-peak, ChargeWise California saved customers $10–20/month, shifted up to 30% of charging to solar-rich hours, and smoothed demand by avoiding the 'snapback' secondary peaks often triggered by rigid TOU schedules. 2. Lower Bills for Everyone: Dynamic pricing can save EV drivers ~$200 per year and reduce total system costs to lower utility bills for non-EV drivers. estimates aligning rates with grid-wide and local distribution signals will unlock over $1,000+ in annual system value per EV. 3. Whole-home Dynamic Rates are Inequitable: Applying dynamic rates to all customer load risks increased costs for customers without flexible tech like home batteries and EVs. ChargeWise California's submetering 'type-of-use' solution offered targeted incentives for EV charging, ensuring equity and high participation, with over 1,000 enrolled in 2 months, and over 50% from disadvantaged communities. 4. Programs Amplify Rates Impact: Dynamic rates amplify value when integrated with smart, customer-focused programs. ChargeWise California successfully combined dynamic pricing with automation in MCE and SVCE's managed charging programs, driving engagement to benefit both customers and the grid. 'Enrolling in MCE Sync was incredibly easy, and it has made managing my EV charging so simple. I love being able to track my energy consumption and see how much I'm saving each month. It's reassuring to know I'm charging with clean energy during off-peak times and making a positive impact, all while keeping more money in my pocket!', said Franco Maynetto, MCE Sync participant. 'The early results highlight just how impactful dynamic pricing can be in reshaping EV charging to support a cleaner, more flexible grid,' said Nick Woolley, CEO and Co-Founder of 'To fully realize the value of managed charging, we need an approach that is equitable, dynamic, system-aligned, and built through collaboration. That means designing solutions which precisely target flexible load, while making it easy for all customers to benefit—especially those in underserved communities. By utilities, aggregators, and policymakers working together in programs like ChargeWise California, we can create a path to unlock flexibility and deliver sustained reductions to electricity rates, with no negative consequences.' 'Silicon Valley Clean Energy is thrilled to see the insights and results coming out of this innovative dynamic pricing pilot,' said Monica Padilla, SVCE CEO. 'Helping our customers charge off-peak to lower their bills and align their charging with when energy is cleanest is not just valuable for our community, but for the broader California energy ecosystem.' 'As local electricity providers, the flexibility to innovate helps us meet the needs of our communities while advancing the California's clean energy goals. Combining targeted dynamic pricing with managed charging can significantly shift peak load and reduce costs, especially for residents and businesses in underserved communities. This pilot is proof that building partnerships with companies like backed by support from the CEC, is crucial for creating a dynamic, efficient, and equitable energy future for all Californians. We will continue to track the value of combining managed charging with dynamic versus time of use rates,' said Alice Havenar-Daughton, Vice President of Customer Programs at MCE. The initial findings demonstrate the crucial need for the energy industry to adopt a collaborative, holistic approach that considers all aspects of the energy system, including distribution, wholesale, capacity, and ancillary services. By prioritizing equitable program design and adaptive learning through testing, energy companies can optimize grid efficiency, integrate renewables, and lower customer bills. About is a Certified B Corporation® with a mission to make EV charging greener, cheaper, and smarter for utilities and their customers. Its end-to-end software platform wirelessly connects to a range of electric vehicles and chargers to intelligently manage EV charging while working with utilities to put cash back in customers' wallets for charging at grid-friendly times. With a global base of utility, vehicle OEM, and EVSE partners, manages more than 200,000 EVs on its platform each day. Learn more at About Silicon Valley Clean Energy Silicon Valley Clean Energy is a not-for-profit, community-owned agency providing electricity from renewable and clean sources to more than 280,000 residential and commercial customers in 13 Santa Clara County jurisdictions. As a public agency, net revenues are returned to the community to keep rates competitive and promote clean energy programs. Silicon Valley Clean Energy is advancing innovative solutions to fight climate change by decarbonizing the grid, transportation, and buildings. Learn more at About MCE MCE is a not-for-profit public agency and the preferred electricity provider for nearly 600,000 customer accounts and 1.5 million residents and businesses across Contra Costa, Marin, Napa, and Solano Counties. Setting the standard for clean energy in California since 2010, MCE leads with 60–100% renewable, fossil-free power at stable rates, serving a 1,400 MW peak load, significantly reducing greenhouse emissions, and reinvesting millions in local programs. For more information about MCE, visit or follow us on your preferred social platform @mceCleanEnergy. James Pratley +44 7940 369556 [email protected] Visit us on social media: LinkedIn Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Optiva, PlektonLabs and Qeema Showcase How APIs and Dynamic Pricing Transform Telecom Monetization at DTW Ignite
Optiva, PlektonLabs and Qeema Showcase How APIs and Dynamic Pricing Transform Telecom Monetization at DTW Ignite

Yahoo

time29-05-2025

  • Business
  • Yahoo

Optiva, PlektonLabs and Qeema Showcase How APIs and Dynamic Pricing Transform Telecom Monetization at DTW Ignite

In partnership with project Champions, AT&T, Bell, stc, TELUS, GCI and Acronym Solutions, the TM Forum Catalyst project demonstrates how telecom operators can evolve APIs into scalable, high-quality, on-demand services to unlock powerful new revenue opportunities. TORONTO, May 29, 2025 (GLOBE NEWSWIRE) -- Optiva Inc. (TSX:OPT), a global leader in BSS software for the telecommunications industry, PlektonLabs, a trusted leading system integrator serving global telecom industry and Qeema, a leading ICT solutions provider and systems integrator, today proudly announced a collaboration on a TM Forum Open Innovation Catalyst project to be showcased at DTW25 Ignite in Copenhagen June 17-19. The project, INFINITY: Unlocking revenue with APIs & dynamic pricing, introduces an innovative dynamic pricing solution. As cloud computing and AI advance rapidly, customers expect personalized, high-quality, on-demand services. INFINITY provides pricing flexibility that enables real-time adaptability, allowing telecom companies to meet diverse customer needs and changing consumption patterns. This approach satisfies evolving demands and creates new revenue streams to help telecoms stay competitive. "The need for dynamic pricing and billing is critical in today's rapidly evolving telecom landscape," said Bernhard Kraft, Head of Product Management at Optiva. "INFINITY empowers operators to move beyond fixed pricing, monetize their API ecosystem, and generate new revenue streams by adapting to demand and opportunity in real time with dynamic prices. It transitions networks from cost centers into responsive, agile profit engines." Traditional static pricing models limit operators' ability to maximize their 4G and 5G network capabilities, resulting in underutilized bandwidth and lost revenue. In contrast, dynamic pricing allows operators to adjust prices in real time based on network utilization and service demands, capitalizing on the advanced features of network slicing. During low utilization, operators can offer discounted or promotional slices to optimize resource allocation and increase revenue. During high network usage, it allows for monetization of premium network resources, offering enhanced services or dedicated slices at higher prices. This approach increases revenue while meeting user demands for network capacity and features, offering on-demand boosts at additional costs and unlocking significant upside revenue potential. INFINITY leverages proven industry standards, TM Forum's Open Digital Architecture (ODA) framework and Open APIs, and uses real-time network telemetry and GenAI-driven chatbots to deliver dynamic pricing capability. It allows customers, partners and cooperations to request QoD services, paying only for what they use, when they use it, optimizing network capacity and delivering premium, customer-centric user experiences. Operators can unlock untapped potential, address variable demand and leverage the solution's real-time adaptability for ongoing revenue growth. 'This project empowers CSPs to unlock real-time monetization through intelligent network strategies,' said Wahid Mohammad, CEO at PlektonLabs. 'Infinity becomes a rising standard within the TM Forum Framework, enabling telcos to propel their businesses forward.' Key Benefits of INFINITY: Enables dynamic pricing: Adapts pricing to real-time demand, customer needs and network capabilities and resources. Generates new revenue streams: Monetizes API ecosystems and tailored packages for B2B2C. Optimizes costs: Maximizes and prioritizes network capacity, aligning with customer intent and experience. Accelerates dynamic pricing with AI: Simplifies API discovery and easy adoption to use new CAMARA APIs on an AI-driven portal and supports dynamic quote management for easy monetization and real-time ordering. 'INFINITY showcases how collaborative design and real-world integration unlock measurable value from dynamic pricing and API ecosystems. This Catalyst proves that monetization isn't just about technology, it's about how seamlessly it fits into operations and delivers outcomes at scale,' said Ahmed Soliman, Chief Commercial Officer at Qeema. The Catalyst project, INFINITY: Unlocking revenue with APIs & dynamic pricing, will be showcased at DTW Ignite, kiosk 1.5. To learn more, visit TM Forum's INFINITY project page. About Optiva Inc. is a leading provider of mission-critical, cloud-native revenue management software for the telecommunications industry. Its products are delivered globally on the private and public cloud. The Company's solutions help service providers maximize digital, 5G, IoT and emerging market opportunities to achieve business success. Established in 1999, Optiva Inc. is listed on the Toronto Stock Exchange (TSX:OPT). For more information, visit For additional information, please contact: Media: Misann Ellmaker, media@ Investor Relations: investors-relations@ About PlektonLabsPlektonLabs partners with telecom leaders to unlock new possibilities through smarter architecture, agile integration, and dynamic monetization models. With deep expertise in API ecosystems and future-ready environments, we help communication service providers accelerate innovation and streamline operations. As the lead visionary behind the Infinity Catalyst project, PlektonLabs pioneered the concept and framework that reimagines how telecoms generate value through real-time pricing and intelligent APIs. See how we make the impossible, the inevitable at For more information, please contact: Media: Diana Cubas, About QeemaQeema is a leading system integrator and software house driving digital transformation across the Middle East. Headquartered in Saudi Arabia with a major presence in Egypt and operations across KSA, UAE, and Oman, we specialize in delivering value through advanced data management, AI, and enterprise solutions. With 300+ experts and strong references in telecom, utilities, healthcare, and education, Qeema partners with top-tier technology vendors to build scalable, future-ready platforms. We move with purpose — built on trust, driven by efficiency. For more information, visit For more information, please contact: Media:

England fans face paying THOUSANDS per World Cup 2026 match as Fifa consider controversial Oasis-style ticketing system
England fans face paying THOUSANDS per World Cup 2026 match as Fifa consider controversial Oasis-style ticketing system

The Sun

time21-05-2025

  • Business
  • The Sun

England fans face paying THOUSANDS per World Cup 2026 match as Fifa consider controversial Oasis-style ticketing system

ENGLAND fans heading to next summer's World Cup could be fleeced for THOUSANDS per match under Fifa plans to use a "dynamic pricing" strategy. Average costs of around £305 per match had previously been reported. 3 3 But now world chiefs are looking at the same demand-based pricing arrangements that saw this summer's Oasis reunion concerts plunged into controversy. And that could see ticket prices for the biggest games sky-rocketing with supply not being able to keep up with demand despite stadiums having capacities of 70,000-plus. A similar system being used in the Club World Cup, including Chelsea and Manchester City, saw prices fall to as low as £29 for games in the group stage. But that is unlikely to be the situation at the World Cup, despite the expansion to a 48-team tournament which will see a record 104 games played. The Fifa model will NOT apply to fans supporting the three host countries - the USA, Canada and Mexico. But visiting supporters will be exposed to the system, which could see top price tickets for knockout games going for £5,000 or more. Official fan groups supplied with tickets by their home associations are also likely to pay a lower price, although allocations are unlikely to exceed 6,000 for any matches. The measure, if confirmed, is likely to see Fifa accused of exploiting fans and seeking to maximise their own income. JOIN SUN VEGAS: GET £50 BONUS Unlike previous World Cups, which have been overseen by a Fifa -delegated local organising committee, 2026 will be run by the Zurich-based body. The greater the revenue from the estimated 6.5m tickets available, the more Fifa will make from the tournament. Fifa confirm 12 stadiums for new-look Club World Cup including TWO £1.2BILLION NFL grounds and 88,500-seat Olympic venue Fifa's argument is that dynamic pricing is a standard practice for major events in the USA - although that is not the case in the other co-host nations. The successful three-country bid, which won the right in 2018 to stage the World Cup, suggested that a projected £1.35bn in ticket sales would be a 'conservative' estimate. That appears to be an understatement, although a Fifa spokesman declined to confirm the plans. The spokesman said: 'Ticket sales for the Fifa World Cup 2026 are expected to begin in Q3 of 2025 via the Fifa website. Further details will follow in due course.' 3

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