Engineering foundation
Software development, business systems, data dashboards, platform connectivity, and engineering capability create a stable, extensible, connected digital base for ecommerce companies.
Guangzhou Lingyan Digital Technology Co., Ltd.
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.

Operating Architecture
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.
Software development, business systems, data dashboards, platform connectivity, and engineering capability create a stable, extensible, connected digital base for ecommerce companies.
AI development, agents, model applications, and AI automation systems turn support, content, advertising, analytics, and internal processes into intelligent workflows.
Full-platform advertising, creative iteration, conversion tracking, data optimization, and official advertising system connectivity help global ecommerce teams acquire growth more efficiently.
The compute-energy trading platform is the long-term direction for exploring compute resources, energy efficiency, trading coordination, and AI application scenarios.
Capability Details
Clients should see more than broad concepts. Each capability is designed to be decomposed, implemented, verified, and continuously improved as a business asset.
Global Advertising
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.
Organizing advertising across regions, languages, and major platforms for international ecommerce teams.
Continuous optimization around conversions, ROAS, creative performance, and user behavior.
System channels for official advertising system connectivity, conversion tracking, reporting sync, and advertising automation.
Attention to account safety, platform policies, data transparency, and business authenticity for review scenarios.
AI Automation
Map repetitive and measurable workflows across ecommerce operations, marketing, support, content, and data.
Use AI, rules, platform data channels, and workflow automation to turn recurring processes into stable systems.
Use data feedback and campaign results to improve content, conversion paths, and operational efficiency.
AI supports multilingual copy, product descriptions, ad headlines, landing page content, and creative variations.
Alerts, rules, and analysis assistants are built around budget, conversions, creative performance, and account health.
Products, orders, logistics, aftersales policies, and knowledge bases connect to agents for more consistent support.
Product launches, inventory, pricing, campaigns, email touchpoints, and data reviews become executable workflows.
Scenario Cases
We organize technology, AI, advertising, and data capabilities through scenarios so clients can see how each capability enters real operating workflows.
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.
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.
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.
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.
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.
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.
Delivery Method
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.
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.
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.
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.
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.
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
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.
Compute resources
Energy efficiency
Trading coordination
Ecommerce Enablement
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.
SEO & Trust
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