Introduction

Why has artificial intelligence revolutionized sectors like commerce, finance, and communication, yet left the services sector largely untouched on a structural level? The answer is clear: unlike products or information, services have not been standardized or structured as operable data.

Currently, services make up over 65% of the global GDP, yet a critical asymmetry persists. Products have been fully digitized, categorized, and managed through interoperable platforms, whereas services, whether commercial, organizational, or public, lack a standardized model for semantic and operational structuring. This gap limits their ability to integrate with automation systems, artificial intelligence, marketplaces, CRMs, ERPs, or even smart cities.

The consequence is undeniable: without a service indexing layer, services cannot fully realize their potential as digitally transactional and programmable entities.

What does indexing a service entail?

Service indexing is the technical process through which a service is represented, classified, parameterized, and operationalized within a standardized relational structure. This process involves several key components:

• Typification: Structural categorization of the service (e.g., recurring, one-time, quantifiable).
• Dynamic Attribution: Customizable fields covering semantic, logical, and visual attributes.
• Contextualization: Definition of delivery scope (in-person, remote, hybrid).
• Transactional Rules: Specifications for pricing, billing, execution, and visibility logic.

The outcome is a structured digital service entity that is interpretable by both humans and machines.

A service indexing model helps to resolve the following structural challenges:

• Discoverability: Enables precise search results and recommendations.
• Interoperability: Facilitates seamless integration with external platforms.
• Automation: Powers AI engines, business workflows, and frictionless operations.
• Scalability: Supports service replication across contexts and geographies without requiring redesigns.

In fact, without a standardized indexing framework, the creation of a digitally governable service ecosystem would remain unachievable.

myservy’s Technical Proposal

DSSM as a Structuring Engine

myservy introduces service indexing as a core semantic and operational layer for digital governance. This concept is brought to life through the Dynamic Services Structure Model (DSSM), a relational modeling architecture that transforms any service into an operable digital entity.

With myservy, services across commercial, organizational, or public domains can be:

• Digitally structured within an intelligent relational model (DSSM).
• Linked to automated interaction workflows (SIA).
• Activated, transacted, and managed across multiple systems and channels.

The DSSM enables services to be represented as standardized, enriched, actionable digital objects that are fully integrated into business ecosystems such as workflows, marketplaces, wallets, CRMs, or smart city environments.

The Service Taxonomy Framework: semantic basis of indexing

To make service indexing technically possible, myservy developed the Service Taxonomy Framework (STF): a structured model that classifies each service by macro-vertical, sub-category, transactional type and configurable attributes. The STF is the semantic foundation that feeds the DSSM, ensuring that every service is typed in an interoperable, standardized and ready for automated execution.

This semantic framework not only organizes the universe of possible services, but also enables their representation in dynamic catalogs, intelligent flows and automation engines. Thanks to the STF, myservy can build consistent and reusable relational structures for any type of service, be it commercial, organizational or citizen.

Intelligent Activation of Indexed Services

The Service Interaction Algorithm (SIA), MyServy’s proprietary engine, interprets the structural logic of the DSSM and activates it in real-time. By using indexed services, the SIA facilitates the automation of sales, billing, interaction workflows, natural language-based service creation, and dynamic offer customization.

The integration of DSSM and SIA transforms MyServy into a platform that is not only structurally robust but also adaptive, intelligent, and self-optimizing.

Extended Applicability by Industry

myservy’s service indexing framework can scale to meet the operational complexities of industries such as:

• Construction and Infrastructure
• Energy, Petroleum, and Industrial Maintenance
• Logistics and Transportation
• Health, Wellness, and Home Care
• Government and Public Entities (Citizen Services)
• Collaborative Economies and Franchise Networks

Technical Conclusion

The global economy is progressing toward an intelligent transactional infrastructure. Service indexing is more than a technical standard—it is an essential step to make services interoperable, scalable, and governable.

Indexing is the new language of services, and myservy has designed the syntax. Through the DSSM and its composable architecture, the platform delivers a robust, agnostic, and scalable system to represent, automate, and integrate services within intelligent environments.

Just as Amazon indexed the world’s products and Google indexed the world’s information, MyServy is building the infrastructure to index the world’s services.

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