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External websiteESG Supply Chain Management Professional Certification Course
Explore supply-chain management through the connected lenses of logistics, ESG, data and AI.

Hong Kong · Asia
From strategy and workflows to CRM, ERP and workforce enablement, Smark Global helps enterprises turn AI into measurable, governed and scalable operating capability.
Conceptual interactive illustration
Connect customers, sales, marketing, commerce, resources, inventory, logistics and workflows—turning fragmented operations into growth momentum.

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No confidential data required. Get a five-dimension readiness score and your priority opportunity instantly.

Hong Kong ICT Awards
2013 · Silver Award
Best SME ICT Product

Hong Kong ICT Awards
2016 · Certificate of Merit
Best Mobile App (Enterprise Solutions)

Hong Kong ICT Awards
2017 · Silver Award
Best Lifestyle (Social, Communication & Media)

Founder
Harry Lui|Founder of Smark Global, enterprise AI transformation practitioner and educator
Harry Lui translates enterprise systems and digital transformation experience into practical AI frameworks, training and implementation programmes.
The reality
When systems stand apart, processes stay manual and data sits in departmental silos, AI never leaves the experiment stage.
Solutions
Each can start on its own, or be sequenced together under one roadmap.

See the current state clearly before committing budget.
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Bring repetitive tasks, decision criteria and review responsibilities into one traceable workflow.
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One customer record that both front line and marketing can trust.
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Consistent order, inventory and finance data makes decisions reliable.
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From traffic to transaction, every step measurable.
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Turn leadership and experienced staff knowledge into AI working methods teams can use and managers can review.
Learn moreS.M.A.R.K.
A simple, repeatable approach: understand the current state, commit deliberately, then keep improving after go-live. Each stage has a defined output so leadership can approve and hold accountable.
Assess data, processes, systems and risk to establish an objective baseline.
Current-state report and readiness scoring
Prioritize use cases and tie each one to a measurable operating outcome.
Prioritized transformation roadmap
Validate with a contained pilot, then implement once it holds up.
A validated working solution
Integrate CRM, ERP, commerce and internal workflows so AI lands in daily operations.
Integrated operating processes
Track adoption and outcomes, establish a governance cadence, and scale the capability.
A continuous improvement mechanism and quarterly review
Case studies
Historical system implementation records covering enterprise systems, digital operations and user adoption—not AI deployments or AI outcome claims.

Centralised client information system for five centres
A centralised client information system launched on 1 August 2017 for case workflows, administrative reporting and analysis across five integrated centres.

E-commerce and business backend integration
An e-commerce and business back-office integration project.
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Enterprise membership application
An enterprise membership application recognised with a Certificate of Merit in the 2016 Hong Kong ICT Awards, Best Mobile Apps (Enterprise Solutions).
Learn moreHistorical delivery record
Selected organisations served in historical company records. Inclusion does not imply a current relationship, strategic partnership, endorsement or that every organisation received AI work.
Tung Wah Group of Hospitals
7-Eleven
IKEA
TINY
Mannings
Supergo
CityLink
DKSH
INFINITI
SINOMAX
Buildings DepartmentNow enrolling
Focused on supply-chain management and sales workflows. Course details and enrolment arrangements are provided on each course website.
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External websiteExplore supply-chain management through the connected lenses of logistics, ESG, data and AI.
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External websiteUse AI and WhatsApp customer signals to prioritise follow-up and build a practical sales workflow.
AI Academy
Tiered programmes for executives, operations and front line — taught on your own processes, with adoption tracked.


Founder's book
Written for Hong Kong business owners, the book explores how organisations can move beyond content generation and isolated productivity tools to understand customers, codify experience, uncover operating patterns and test new paths to growth.
Available on Amazon KindleKindle Edition · Traditional Chinese
Insights
: The biggest opportunity may not be another AI tool. Hong Kong is building a new industrial chain that connects computing power, data, talent, governance and enterprise adoption.
Learn moreA person can move from dismissing an idea with “I don't know how” to asking, “How much could I make possible?”
Learn moreOnce AI enters a company, what changes is not only the speed of work but how decision rights are allocated.
Learn moreManagement may remember what the company did, yet forget why it did it.
Learn moreThe real gap in sales performance is often not how well something is said, but whether you correctly understand what is happening with the customer.
Learn moreWhat staff really learn is what the company actually rewards, what it tolerates, and who pays the price.
Learn moreEfficiency only means finishing existing work faster; the market pays more when you solve more important problems.
Learn moreThe blocker is rarely model capability. It is process ownership, data readiness and integration.
Learn moreTen questions that should have answers before the first use case goes live.
Learn moreStarting with an integration layer and master-data discipline delivers faster than a full replacement.
Learn moreA complete framework covering readiness assessment, use-case prioritisation, governance and rollout pacing, written for leaders who answer to a board.
Learn moreOne training deck cannot serve leadership, operational staff and frontline teams equally well. This guide breaks down what each layer should learn, and how.
Learn moreAn AI agent can execute multi-step work automatically, which also means it can execute multi-step mistakes automatically. This guide covers the safe path from pilot to governed scale.
Learn moreMost enterprises do not need to rip out their CRM or ERP to adopt AI. What they need is a clear integration path, a data cleanup plan and an interface strategy.
Learn moreMost companies do not lack AI tools. They ask the tool for an answer before they have made the situation clear.
Learn moreThe same AI tool may produce generic copy for one company and reveal lost orders, rework and product opportunities for another. The difference is usually data, not prompts.
Learn moreA company’s most valuable customer evidence may not be its completed orders, but the conversations that nearly became business and then stopped.
Learn moreThe greatest constraint in a one-person company is not headcount. It is having to remember, decide and restart every kind of work with the same brain.
Learn moreHow the New Industrialisation and Technology Training Programme supports advanced technology training for company staff, and what to confirm first.
Learn moreHow logistics practitioners claim a course-fee refund for pre-approved smart logistics, AI and automation courses, including the four-month deadline.
Learn moreHow the BUD Fund treats upgrading and market development projects with AI elements, and why buying AI software does not automatically qualify.
Learn moreFAQ
The questions enterprises ask most often in a first meeting.
Sixty minutes to review your systems, your most time-consuming processes and your goals — followed by initial observations and a suggested scope.