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Defining an off-peak period in financial terms for a service-providing business involves identifying times when revenue generation is significantly lower than peak revenue periods. The exact definition can depend on the business model, but the key comparison points are:
Peak Revenue (PR) – The maximum revenue attained during the highest-demand period.
Average Revenue (AR) – The mean revenue earned over a typical day or period.
Off-Peak Revenue (OPR) – The revenue during traditionally low-demand periods.
Revenue Threshold (RT) – A defined percentage or value below PR or AR that categorizes a time slot as off-peak.
Off-peak periods occur when a business generates less revenue than its defined threshold, which is below its peak or average revenue, due to slow consumer flow or a lack of service demands.
For more details, please refer to our Off-Peak Analysis section.
A decentralized community with strong beliefs and convictions dedicated to building an ecosystem that strengthens local service businesses against mega-chains and mitigates the syphoning of consumer wealth to the super-rich.
Service Time is more than just a decentralized application—it’s a global movement powered by purpose, , and innovation. At its core lies a , united by a , a strong , meaningful , and a transparent, designed to uplift everyday consumers, service businesses, and holders worldwide.
We invite you to explore and discover what sets Service Time apart. Whether you're a consumer, a service business, a community investor, or a believer in economic fairness, we hope our values and aspirations resonate with you. Join us as we build a future where opportunity is shared, support is mutual, and the benefits of participation are open to all. This journey begins with us—and continues with you.
Imagine a protocol that enables service-providing businesses to turn their slow periods into profitable opportunities, facilitates amazing deals for consumers, and rewards community members for their supportive participation in the protocol's ecosystem. Service Time is a project that leverages blockchain, tokenization, Web 3.0, AI integration, and e-commerce to create a new protocol. Service Time is dedicated to developing a superior solution to the Web 2.0 business model, as provided by companies like and . Their Web2 business model connects consumers with deals from businesses at a significant disadvantage to the businesses. The Service Time's protocol implements a novel solution that addresses the : revenue loss resulting from imbalances between peak and off-peak demands. Its decentralized application aims to maximize for service providers, generate an additional income stream for deal consumers, and reward its token community (, , , etc.) with economic benefits, ownership, and governance.
Service Time is a project. The community is as vital as the protocol in the Service Time ecosystem. Our CFCO approach fosters a "non-rug-pull" and fair culture that prioritizes inclusivity, equity, and transparency in our interactions. Trust and fairness are paramount. The project aims to build by:
Implementing and honoring
Redistributing the ecosystem's accumulated and appreciated wealth to all its community members.
Our CFCO culture aligns the interests of service providers, consumers, and holders, ensuring balanced in the ecosystem’s growth and success.
Service Time's solution offers significant value propositions for various community groups in its ecosystem.
For Service Providers
Boost Revenue: Convert slow business periods into profitable opportunities
Attract Loyal Consumers: Acquire long-term with more long-term engagements
Zero Consumer Acquisition Cost: No consumer acquisition costs for local service businesses that are community members
Ownership & Rewards: Earn rewards and become a part-owner of the ecosystem
AI Integration: Deals management, pricing, and trade with AI integration and agents
Verifiable marketing: Publicly accessible and immutable marketing reports & analytics
For Consumers
Amazing Service Deals: Access quality services at wholesale prices for consumption or resale
Additional Income Stream: Resell/auction unused subscription deals in our marketplace
Ownership & Reward: Earn rewards and become an part-owner of the ecosystem
For OPIC holders
Ownership: Enjoy all the benefits of being a part-owner of the Service Time ecosystem
Service Subscription: Leverage 's purchasing power to convert one-time deals into deal subscriptions
Staking & Rewards: earn staking and revenue-sharing rewards from the ecosystem
Governance: Decision-making & voting rights in shaping the ecosystem's growth and treasury
Service Time aims to be a self-sustainable and economically viable ecosystem by generating revenue from the protocol's transaction fees. Its business model is a fee-for-service strategy offering competitive value propositions for its primary targeted community members – consumers, local service businesses, and OPIC holders. All fees collected will be autonomously and transparently deposited into the protocol's treasury. The protocol's treasury is intended to serve two primary purposes:
Sustainability reserve - funds for self-sustainability, research, and continuous growth
Revenue sharing - funds for the redistribution of accumulated wealth back to the community
The OPIC holding community entirely governs revenue-sharing decisions.
The Service Time protocol offers a wide range of utilities and features to its users. A few of the novel utilities and features include:
Off-Peak Booking is a utility that instantly lets consumers view a service provider's off-peak calendar and book a service during that period. This feature allows consumers to book a service reservation during an off-peak period by purchasing the respective subscription deal token.
Subscription Tokens are utility features that enable service providers to convert their service deals into blockchain tokens and package them into subscriptions. After the conversion process (minting), the service deals become a tradeable real-world asset that can be consumed, resold, or auctioned.
Dynamic pricing involves continuously monitoring key external factors that impact deal performance, including consumer demand and booking availability. The AI-powered dynamic pricing utility empowers service providers to autonomously monitor these variables and adjust deal prices in real-time, maximizing bookings during off-peak hours and optimizing revenue without manual intervention.
Consumers and service providers can use our resale marketplace to resell or auction their unused service deals to other potential consumers. The resale marketplace is a secondary marketplace that offers additional e-commerce features and caters to consumers interested in purchasing a part or the entire unused subscription. Resellers will have access to AI Agents who can buy, sell, or auction individual unused deals or entire subscriptions.
You can download and read the full whitepaper PDF copy here. This section includes only a few crucial items outlined in the whitepaper, including a summary of the problem and our solution.
Service businesses struggle to find loyal, long-term consumers for their slow (off-peak) periods at a cost-effective consumer acquisition rate. Consequently, these small-scale local service businesses frequently face a substantial revenue gap, which strains their cash flow and undermines their survival. This problem was evident in the early successful rise of Groupon, the daily deal marketplace. During its early days, Groupon used amazing deals to attract customers and connected them to local businesses that provided the deals. The rapid global rise of Groupon substantiated that they were solving a problem that local service businesses needed. However, over time, the Groupon solution proved inadequate for two reasons:
High consumer acquisition cost – the deals were a financial burden to the businesses
Non-loyal customer – deal consumers were not loyal repeat customers for the businesses
These two factors cause businesses to stop using the Groupon solution to tackle their slow period problems.
Groupon and LivingSocial introduced Web2 solutions to address the challenge of connecting consumers to local businesses, but these approaches proved inadequate. Their models primarily benefited consumers while imposing a one-sided negative economic impact on service providers. By offering deeply discounted, one-time deals, these platforms attracted local customers but failed to create long-term value for businesses. Once the deals were redeemed, service providers were left with the same issue: revenue loss from underutilized off-peak days and times.
In contrast, Service Time's Web3-based solution offers a more comprehensive and sustainable approach. In tackling the three-headed problem, Service Time proposed solution includes the following features and utility:
Proof of Loyalty
Subscription Token Model
Cost Reduction
Shared Risk-Reward
Decentralized community
Our mission is to generate financial wealth for everyday people and local service businesses by empowering them to mitigate multi-billionaire and multi-millionaire-owned mega-chain companies from siphoning revenue from these businesses and their consumers. As mega-chain stores cannibalize small service businesses worldwide, they transfer wealth from local communities to the super-rich. To counter this inequity, we are developing a trustworthy protocol and a community of believers to mitigate the sustainability risks facing local, small-scale service businesses worldwide. By working together, we can help these service providers transform their slow periods into profitable opportunities, thereby strengthening their revenue streams to withstand the competition from large, mega-chain companies. We aspire to empower consumers and service providers worldwide to collaborate in sharing risks and rewards, ultimately enhancing people's lives economically and meaningfully.
Service Time envisions a decentralized protocol and ecosystem with small, local service-providing businesses, consumers, and OPIC holders collaborating to distribute equitable opportunities and wealth globally. This vision of protecting small service-providing businesses forms the foundation for the protocol’s technological innovations, fulfilling Service Time’s mission. The protocol aims to address the ongoing challenge service providers face regarding revenue loss due to imbalances between peak and off-peak bookings. By utilizing blockchain, tokenization, AI integration, and e-commerce, Service Time aims to enhance off-peak revenue for service providers while delivering economic benefits to its community. The project emphasizes the importance of its and community engagement, aiming to be entirely by businesses, consumers, and OPIC holders.
A time period is off-peak if its revenue is below a certain percentage of the peak revenue.
Formula:
where:
= Off-Peak Revenue at time ( t )
PR = Peak Revenue
= Threshold percentage (e.g., 70% of PR)
A time period is off-peak if its revenue is significantly below the daily or weekly average revenue.
Formula:
where:
is the threshold factor (e.g., 80% of AR)
To quantify the financial impact of off-peak periods, we need to determine the difference in revenue between off-peak and normal periods.
where:
= Lost revenue due to off-peak periods
AR = Average Revenue per unit time (hour, day, week)
OPR = Off-Peak Revenue per unit time
= Total duration of off-peak periods
This formula helps estimate how much revenue is lost during off-peak times.
Let’s assume:
Peak Revenue (PR) = $10,000 per day
Average Revenue (AR) = $7,000 per day
Off-Peak Revenue (OPR) = $4,500 per day
Off-Peak Time Share () = 5 hours out of a 12-hour business day
Thus, the revenue shortfall per off-peak period is $1,041.67.
So, off-peak periods account for 35.71% revenue loss compared to normal periods.
By adjusting the ( ) and ( ) values, a business can:
Predict revenue differences for different off-peak time scenarios.
Determine discount rates or incentives needed to reduce the impact of off-peak losses.
Optimize pricing strategies for subscription models based on expected revenue fluctuations.
Meet the Team Behind Service Time
At the heart of Service Time is a passionate and forward-thinking team united by a shared mission to reshape how the world's consumers engage with service providers. Our diverse backgrounds encompass blockchain application development, product design, community building, and more, each contributing critical expertise to the success of our decentralized ecosystem. Together, we are building a platform that empowers service-provider businesses, rewards consumers, and fosters a global community of ownership and opportunity.
Get to know the people behind the vision. Click below to explore the profiles of our team members and learn more about the experience, values, and drive that fuel the Service Time project.
Does our mission inspire you? We’re always looking for talented, purpose-driven individuals to join our journey. If you’re passionate about decentralization, community empowerment, economic fairness, and building meaningful solutions, we’d love to hear from you. Let’s build the future—together. .
Tozo
Lead Developer
Josef Lee
Front-End UI/UX Developer
Higgra Michael
Operations Manager
Joseph Reed
Director Marketing Communication
Renzo Dennis
Community Builder