The AI-Powered Revenue Architect
Engineering Industrial Growth through Digital Intelligence & Consultative Discovery. In today’s volatile global supply chain, industrial leaders face a new reality: traditional growth methods, relying on trade shows, agents, or passive inbound enquiries, are no longer enough to maintain a competitive edge.
Modern industrial buyers now conduct their research primarily digitally, forming critical impressions of reliability and technical competence long before engaging with a partner.
This workshop moves beyond traditional sales tactics to introduce Revenue Architecture: a systematic, AI-powered approach designed specifically for the complexities of B2B manufacturing and wholesale distribution.
Participants will transition from reactive sellers to Revenue Architects, learning to use AI to engineer a more predictable and credible growth engine. The program focuses on three
core pillars:
Intelligence Architecture- Leveraging AI to interpret market signals, analyze competitor landscapes, and evaluate buyer supply-chain risks with precision.
Pipeline Engineering: Using AI and LinkedIn to build high-trust digital credibility and craft non-salesy, value-driven outreach that resonates with different stakeholders.
Consultative Discovery: Mastering advanced questioning frameworks to uncover deep operational challenges and navigate the diverse priorities of multistakeholder
buying centers.
By integrating AI-driven efficiency with strategic consultative skills, participants will learn how to establish technical authority earlier in the buying cycle, shorten
engagement timelines, and convert digital insights into high-value business partnerships.
Module 1: Intelligence Architecture & Market Signals
AI-Enabled Demand Mapping: Using advanced LLMs such as ChatGPT, Gemini,Claude to study and interpret industry developments and anticipate shifts in customer ordering patterns.
Evaluating buyer supply-chain priorities to ensure
pre-meeting preparation is data-driven and relevant.
Sales Opportunities Management: Systematically evaluating and scoring sales opportunities to ensure resource allocation is focused on high-probability conversions.
Mapping The Buying Centre And Account Insights: Leveraging digital intelligence such as LinkedIn and Clay to map technical and procurement audiences within high-potential accounts.
Module 2: Engineering Predictable Pipelines with AI
The Credible Digital Presence: Designing a powerful online presence using the largest professional social network LinkedIn that positions you as a reliable
industrial partner rather than a vendor.
AI-Assisted Prospecting: Using Generative AI including ChatGPT and Gemini to help guide and generate high-value, personalized outreach for LinkedIn and
email that connects with various stakeholders.
Strategic Sequencing: Implementing multi-touch engagement structures that provide consistent value and build a predictable pipeline of high-quality
appointments.
Module 3: The Consultative Discovery Framework
Advanced Questioning Architecture: Moving beyond surface-level needs to uncover the strategic and commercial drivers of industrial buyers.
Consequence-Based Discovery: Using structured S.C.O.R.E. questioning framework (Situation, Causes, Objectives, Repercussions, Effects) to help buyers quantify the impact of their operational challenges.
Stakeholder Navigation: Mastering the different perspectives of Engineering, Ops, and Procurement to align a solution across the entire buying committee.
Applicants must be 25 years old or above, and meet at least one of the following criteria:
• Logistician with at least 2 years of experience interested in learning about aligning logistic resources with business priorities or
• Early and mid-career professionals with at least 3 years of experience in any discipline who supervise the work of others, or
• Logistics Solutions Professional, Warehouse Operations Manager, Transportation Operations Professional with more than 2 years of supervisory experience in any logistics discipline and who are in charge of reporting logistic performance to align with company strategies or
• Professionals with at least 3 years of working experience and a Diploma who want to work in logistics, warehouse operations, or transportation operations.
And, the applicants must
• Have Level 7 and above in Workplace Literacy of Employability Skills Workforce Skills Qualification(able to speak, write and read English )
• Have an understanding of the organization’s structure, standard operating procedures and guidelines
• Able to communicate effective verbal and written communication
1. All notice of transfer/withdrawal / deferment must be given in writing and submitted at least 2 weeks prior to course commencement.
2. An administrative fee of $60 (GST inclusive) will be imposed if notice is received less than 2 weeks.
3. If notice of withdrawal is received:
– At least 1 week before commencement of the course, a 20% of the full course fee will be charged. For government-funded course, a 20% of full course fee before funding will be charged.
– Less than 1 week before commencement of the course, a 30% of the full course fee will be charged. For government-funded course, a 30% of full course fee before funding will be charged.
– No show on the scheduled date, a full course fee will be levied. For government-funded course, a full course fee before funding will be charged.
4. For all government-funded programmes (WSQ & Non-WSQ), funding is only applicable to:
– Singapore Citizens or Singapore Permanent Residents.
– Participants who have achieved at least 75% attendance and passed all required assessments.
– Full course fee will be charged to participants who fail to meet the above-mentioned criteria.
5. Certificates or Statement of Attainment or Certificate of Attendance will only be issued to participants who have achieved 75% attendance and undergo assessment (if applicable).
6.When a course is cancelled, fails to commence or fails to complete under unforeseen circumstances, participant is allowed to defer the intake at no cost or withdraw from the course; under such situation, a full refund of the advance payment will be given.
7. Notice of change in participant’s name must be given in writing, 1no less than 5 days prior to course commencement.
8. SMF reserves the right to change the venue, cancel or postpone the event without prior notice and full refund will be given under such circumstances. Such modifications shall become effective immediately upon the posting thereof. Please approach your account manager for more queries.
9. SMF Centre for Corporate Learning Pte Ltd has a Data Protection Policy which provides more information about how we collect, use and disclose your personal data. Please click the link below to know more.
https://smfccl.sg/privacy/
1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal together with the appeal fee of $109.00 (inclusive of 9% GST).
9. The assessor can help the candidate with writing and lodging the appeal.
10. The assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.
