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The Project

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Overview

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What is Off-Peak

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:

  1. Peak Revenue (PR) – The maximum revenue attained during the highest-demand period.

  2. Average Revenue (AR) – The mean revenue earned over a typical day or period.

  3. Off-Peak Revenue (OPR) – The revenue during traditionally low-demand periods.

  4. 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.

Service Time

What is Service Time?

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.

Introduction

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.

Superior Protocol

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.

Community-Owned

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.

Value Propositions

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

Revenue Sharing

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.

community-owned and governed ecosystem
shared mission
value propositions
revenue-sharing treasury
our vision
off-peak
Groupon
LivingSocial
persistent challenge in the service industry
off-peak revenue
Off-Peak

Utilities & Features

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

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 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.

AI Dynamic Pricing

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.

Agental Resale Marketplace

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.

Technology Stack

Coming Soon!

White Paper

For more details, read the full white paper on Service Time here.

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.

Problem Summary

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.

Solution Summary

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

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ServiceTime_WP_V10.docx

Roadmaps

Q1 2025 - Project Exploration

Q2 2025 - Development

Q3 2025 - Contracts & AI

Q4 2025 - UI/UX Marketplace

Q1 2026 - Testing & Audits

Q2 2026 - Main Net Launch

Mission & Vision

Core Mission

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.

Global Vision

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.

Off-Peak Analysis

Off-Peak Period: Two Possible Approaches

1. Based on Peak Revenue (PR)

A time period is off-peak if its revenue is below a certain percentage of the peak revenue.

Formula:

OPRt<α⋅PROPR_t < \alpha \cdot PROPRt​<α⋅PR

where:

  • OPRtOPR_tOPRt​ = Off-Peak Revenue at time ( t )

  • PR = Peak Revenue

  • α\alphaα = Threshold percentage (e.g., 70% of PR)

2. Based on Average Revenue (AR)

A time period is off-peak if its revenue is significantly below the daily or weekly average revenue.

Formula:

OPRt<β⋅AROPR_t < \beta \cdot AROPRt​<β⋅AR

where:

  • β\betaβ is the threshold factor (e.g., 80% of AR)


Deriving Revenue Difference Between Off-Peak and Normal Days

To quantify the financial impact of off-peak periods, we need to determine the difference in revenue between off-peak and normal periods.

Revenue Difference Formula

ΔR=(AR−OPR)×Toff\Delta R = (AR - OPR) \times T_{off}ΔR=(AR−OPR)×Toff​

where:

  • ΔR\Delta RΔR = Lost revenue due to off-peak periods

  • AR = Average Revenue per unit time (hour, day, week)

  • OPR = Off-Peak Revenue per unit time

  • ToffT_{off}Toff​ = Total duration of off-peak periods

Percentage Revenue Loss Due to Off-Peak Periods

Loss Percentage=(AR−OPRAR)×100\text{Loss Percentage} = \left( \frac{AR - OPR}{AR} \right) \times 100Loss Percentage=(ARAR−OPR​)×100

This formula helps estimate how much revenue is lost during off-peak times.


Example Calculation

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 (ToffT_offTo​ff) = 5 hours out of a 12-hour business day

Revenue Difference Calculation

ΔR=(7,000−4,500)×512=2,500×0.4167=1,041.67\Delta R = (7,000 - 4,500) \times \frac{5}{12} = 2,500 \times 0.4167 = 1,041.67ΔR=(7,000−4,500)×125​=2,500×0.4167=1,041.67

Thus, the revenue shortfall per off-peak period is $1,041.67.

Percentage Revenue Loss

(7,000−4,5007,000)×100=(2,5007,000)×100=35.71%\left( \frac{7,000 - 4,500}{7,000} \right) \times 100 = \left( \frac{2,500}{7,000} \right) \times 100 = 35.71\%(7,0007,000−4,500​)×100=(7,0002,500​)×100=35.71%

So, off-peak periods account for 35.71% revenue loss compared to normal periods.


Using This Formula for Forecasting

By adjusting the ( α\alphaα ) and ( β\betaβ ) 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.

ethos
community-owned and governed
guiding ethos
community-first and community-owned (CFCO)
its Ethos
shared risk-reward
community
consumers
service providers
community members
a genuine, loyal, and long-term community
consumers
OPIC
OPIC
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Team

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. .

Core Team

Tozo

Lead Developer

LinkedIn

Josef Lee

Front-End UI/UX Developer

LinkedIn

Higgra Michael

Operations Manager

Joseph Reed

Director Marketing Communication

LinkedIn

Renzo Dennis

Community Builder

LinkedIn

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