Guangzhou Lingyan Digital Technology Co., Ltd.

Global intelligent commerce infrastructure

sdpwr uses engineering systems as the foundation, AI automation as the operating engine, global advertising networks as the growth layer, and compute-energy coordination as the future infrastructure path for clear, credible, and scalable ecommerce operations worldwide.

System visual for global intelligent commerce infrastructure
Growth infrastructure console
01Engineering foundation: software development, system integration, and data connectivity
02Intelligent operations: AI development, agent workflows, and automation systems
03Global growth: full-platform advertising, data optimization, and compliant operations

Operating Architecture

One architecture, four layers, organized into a clear system

Software development, AI development, advertising, AI automation systems, and the compute-energy trading platform are not scattered services. They are layers of one intelligent commerce infrastructure.

Engineering foundation

Software development, business systems, data dashboards, platform connectivity, and engineering capability create a stable, extensible, connected digital base for ecommerce companies.

Intelligent operations layer

AI development, agents, model applications, and AI automation systems turn support, content, advertising, analytics, and internal processes into intelligent workflows.

Global growth network

Full-platform advertising, creative iteration, conversion tracking, data optimization, and official advertising system connectivity help global ecommerce teams acquire growth more efficiently.

Future infrastructure

The compute-energy trading platform is the long-term direction for exploring compute resources, energy efficiency, trading coordination, and AI application scenarios.

Capability Details

From websites and systems to AI and advertising data connectivity, every layer can become an engineering deliverable

Clients should see more than broad concepts. Each capability is designed to be decomposed, implemented, verified, and continuously improved as a business asset.

Digital products and website systems

  • Corporate websites, brand sites, landing pages, campaign pages, and SEO content architecture
  • DTC sites, admin consoles, data dashboards, and business control surfaces
  • Multilingual, multi-market, multi-currency, and cross-border ecommerce foundations
  • Lead forms, support entry points, ad conversion events, and attribution paths

Business systems and platform engineering

  • Domain modeling for orders, products, customers, ad accounts, and creative assets
  • Platform data connectivity, permission models, audit logs, queues, and automation scheduling
  • Visual control panels and low-friction workflows for operations teams
  • Connecting ad platforms, ecommerce platforms, and internal data systems into one workspace

AI applications and agents

  • AI support, operations assistants, advertising analysts, and content generation workflows
  • Structured access to knowledge bases, product knowledge, campaign data, and SOPs
  • Multi-step agent tasks: analyze, generate, verify, publish, and review
  • Human review and permission control before AI touches high-risk actions

Ad technology and growth data

  • Official advertising system connectivity, conversion tracking, offline conversions, report sync, and budget rules
  • Ad account structures, campaign naming, creative tags, and performance segmentation
  • ROAS, CPA, CTR, CVR, and LTV summarized for business decisions
  • Entity, service scope, compliance, and data transparency for platform review scenarios

AI-powered operations automation

  • Automation for product launches, creative generation, review analysis, support routing, and email touchpoints
  • Data-threshold triggers for campaign alerts, budget suggestions, and anomaly warnings
  • Turning manual SOPs into reusable system workflows
  • Aligning operations, support, advertising, and content teams around one data language

Future compute-energy infrastructure

  • Modeling compute resources, energy efficiency, and cost structures for AI-driven businesses
  • Exploring connections between compute, energy value, trading coordination, and application demand
  • Leaving room for future data structures, trading objects, and resource scheduling concepts
  • Extending current software and AI engineering capability toward next-generation intelligent commerce infrastructure

Global Advertising

Full-platform advertising capability for worldwide markets

Advertising is not a detached service. It is the growth network layer of the intelligent commerce infrastructure. We emphasize real, compliant, and traceable advertising services across strategy, account structure, creative iteration, conversion tracking, analytics, and automated operations, with a clear path toward official advertising system connectivity.

Google AdsYouTubeMetaTikTokMicrosoft AdsAmazon AdsMarketplace adsDTC growth

Global media coverage

Organizing advertising across regions, languages, and major platforms for international ecommerce teams.

Data-driven optimization

Continuous optimization around conversions, ROAS, creative performance, and user behavior.

Data connectivity and automation

System channels for official advertising system connectivity, conversion tracking, reporting sync, and advertising automation.

Compliance and trust

Attention to account safety, platform policies, data transparency, and business authenticity for review scenarios.

Official advertising system connectivity support

  • The website clearly presents company entity, address, service scope, and advertising technology capability
  • Data connectivity is positioned around report sync, conversion tracking, budget rules, account management, and automated analysis
  • Compliance, auditability, and data transparency are emphasized instead of policy avoidance or gray-hat operations
  • Advertising technology connectivity sits inside the global growth network, showing a real business need

Advertising operations capability

  • Multi-market account structures and campaign naming conventions
  • Creative testing, audience segmentation, budget pacing, and conversion objective management
  • Continuous optimization around ROAS, CPA, conversion rate, and repeat purchase value
  • Campaign results feed back into content, products, pricing, and landing page conversion work

Data and automation capability

  • Ad data, onsite behavior, order data, and CRM leads can be unified for analysis
  • Automated reports, anomaly alerts, creative performance analysis, and budget monitoring
  • Rule-based and AI-generated recommendations with human review preserved
  • Interfaces reserved for future cross-platform ad automation and operating dashboards

AI Automation

Starting from business workflows, not technology for its own sake

Identify high-frequency work

Map repetitive and measurable workflows across ecommerce operations, marketing, support, content, and data.

Build intelligent systems

Use AI, rules, platform data channels, and workflow automation to turn recurring processes into stable systems.

Iterate for growth

Use data feedback and campaign results to improve content, conversion paths, and operational efficiency.

Content automation

AI supports multilingual copy, product descriptions, ad headlines, landing page content, and creative variations.

Multilingual copyCreative variantsLanding content

Advertising automation

Alerts, rules, and analysis assistants are built around budget, conversions, creative performance, and account health.

Budget alertsConversion trackingCreative analysis

Support automation

Products, orders, logistics, aftersales policies, and knowledge bases connect to agents for more consistent support.

AI supportTicket routingAftersales suggestions

Operations automation

Product launches, inventory, pricing, campaigns, email touchpoints, and data reviews become executable workflows.

Operations SOPsCampaign triggersData review

Scenario Cases

Not isolated services, but deployable business scenarios

We organize technology, AI, advertising, and data capabilities through scenarios so clients can see how each capability enters real operating workflows.

Cross-border ecommerce growth hub

For teams operating multiple markets, stores, and ad accounts, unifying product, creative, campaign, and conversion data.

Software systems, advertising data, and AI analysis live in one operating layer for faster market decisions.

SoftwareAd data connectivityDashboards

Global advertising automation

For major platforms including Google, Meta, TikTok, Microsoft, and Amazon, building automated operations across cross-market ad data, conversion tracking, budget pacing, and creative performance.

Advertising moves from manual reports and settings into auditable, traceable, and scalable global growth workflows.

Global adsConversion trackingAutomation rules

AI content and creative system

For DTC websites, short video, and ad creative teams, connecting multilingual content generation, asset versions, and performance feedback.

AI supports topics, copy, creative iteration, and review loops, shortening the path from idea to test.

AI developmentCreative systemMultilingual content

Support and operations agents

Connecting support knowledge, order data, product data, and marketing actions into agent workflows.

Less repetitive work across presales, aftersales, and operations, with faster response and more consistent service.

AgentsKnowledge baseSystem integration

Global ad compliance operations

For Google, Meta, TikTok, Microsoft, and other ad environments, creating checks across accounts, creatives, data, and policies.

Global advertising capability becomes clearer, more credible, and better suited to platform review and official system connectivity application scenarios.

Full-platform adsComplianceData transparency

Compute-energy platform prototype

Concept modeling around compute resources, energy efficiency, trading coordination, and AI application scenarios.

Current engineering capability connects to the future infrastructure roadmap, leaving room for the next platform product.

ComputeEnergy efficiencyPlatform prototype

Delivery Method

From strategic narrative to working systems, every step has a concrete output

A website or system build is not a one-time page production task. It is a continuous delivery method from business narrative and data structure to implementation and growth operations.

01

Business diagnosis and narrative alignment

Clarify company entity, target customers, service scope, ad capability, AI capability, and future platform concepts so the website does not feel scattered or untrustworthy.

Output: brand narrative, website information architecture, core glossary.

02

Data objects and system boundaries

Define how products, orders, customers, ad accounts, creatives, conversion events, AI tasks, and compute-energy resources are understood and connected by systems.

Output: domain model, capability layers, boundaries, and platform connection inventory.

03

Visual and frontend implementation

Translate technology credibility, international expression, and growth capability into page rhythm, navigation structure, responsive experience, and SEO-friendly semantics.

Output: bilingual website, responsive pages, structured SEO foundation.

04

Data connectivity and automation integration

Gradually connect advertising data channels, conversion data, reports, AI workflows, task scheduling, and internal operations tools according to real business needs.

Output: platform connectivity plan, automation workflows, data feedback mechanism.

05

Verification, optimization, and long-term iteration

Use build checks, page verification, campaign data, user behavior, and business feedback to iterate website content, ad strategy, and automation systems.

Output: verification records, optimization backlog, next-stage roadmap.

Future Platform

Compute-energy trading platform: the future layer of intelligent commerce infrastructure

The compute-energy trading platform is not a separate buzzword. It is sdpwr's long-term exploration of resource coordination in the AI era: as software systems, AI automation, and global growth networks scale, compute, energy efficiency, and trading mechanisms become critical support for the next generation of intelligent commerce.

node

Compute resources

node

Energy efficiency

node

Trading coordination

Ecommerce Enablement

Full-domain, full-channel enablement for global ecommerce growth

From DTC websites to marketplace commerce, from paid acquisition to AI-powered operations, we deliver technology and growth capability to teams that need scalable efficiency.

Cross-border ecommerce
Global brands
DTC websites
Marketplace sellers
Content commerce
Ad agencies
AI tool teams
Digital operations teams

SEO & Trust

Designed for discoverability, credibility, and review scenarios

  • The root path routes visitors by browser language, while bilingual pages include independent titles, descriptions, keywords, canonical links, and alternate language links.
  • The page uses the intelligent commerce infrastructure narrative to present the company entity, address, official domain, service scope, and global advertising capability.
  • Structured data declares company information and core business capabilities as an Organization.
  • Content explicitly covers official advertising system connectivity, data automation, and compliance scenarios.
Guangzhou Lingyan Digital Technology Co., Ltd.Address: Room K215, 1103, No. 212 Huizhi 2nd Road, Nancun Town, Panyu District, Guangzhou, China
Official domain: sdpwr.com

Contact

Bring technology, AI, and global growth into one roadmap

Guangzhou Lingyan Digital Technology Co., Ltd.Address: Room K215, 1103, No. 212 Huizhi 2nd Road, Nancun Town, Panyu District, Guangzhou, ChinaOfficial domain: sdpwr.comEmail: [email protected]Phone: +86 17688988869