𝗚𝗿𝗲𝗮𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 𝗯𝗲𝗴𝗶𝗻 𝘄𝗶𝘁𝗵 𝗮 𝗱𝗲𝗲𝗽 𝗴𝗿𝗮𝘀𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗕𝘂𝘆𝗲𝗿 𝗠𝗶𝗻𝗱𝘀𝗲𝘁 𝗮𝗻𝗱 𝘄𝗵𝗲𝗻 𝗱𝗮𝘁𝗮 𝗮𝗻𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗲𝘀 𝗻𝗲𝗲𝗱𝘀 𝗮𝗻𝗱 𝗱𝗲𝘀𝗶𝗴𝗻 𝗿𝗲𝗺𝗼𝘃𝗲𝘀 𝗳𝗿𝗶𝗰𝘁𝗶𝗼𝗻.

From Dubai to Delhi, I’ve spent two decades proving that principle—acting as a Consultant-turned-Change Agent who transforms customer and employee journeys across real estate, banking, telecom and technology. Today I lead digital-transformation-led, AI-driven Customer Experience (CX) & Experience Management (XM) programmes that convert insight into revenue, loyalty and agility.

𝗪𝗵𝗮𝘁 𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿
• Contract Automation at Scale — digitised 100 K+ CLM contracts for a GCC real-estate portfolio, shaving weeks off approval cycles and tightening compliance.
• AI-Powered Promotion & Pricing Engines—dynamic models driving profitability and marketing ROI.
• Next-Best-Action Marketing—AI engines in insurance and telecom funnels doubled CVR, reduce CAC.
• End-to-End Journey Re-imagining—orchestrated Salesforce Marketing Cloud, Adobe Experience Platform and Dynamics CRM to serve 40 M+ customers seamlessly.
• Omnichannel MarTech Modernisation—unified CDP, analytics and automation and hit ROAS breakeven in a single quarter.
• AI-Agentic Playbooks—re-usable agents for support and contract review, accelerating future deployments by 60 %.

𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸
1. Value Blueprint — co-create a Buyer-Mindset maps and P&L-tied CX/XM metrics, Governance and Risk.
2. Rapid Pilots, Industrial Scale—AI-agentic, low-code prototypes, then production on Microsoft, Salesforce, Yardi or AWS.
3. Change that Sticks—PMP rigour, CCXP empathy and agile pods anchoring OKRs to experience-led growth.

𝗖𝗮𝗿𝗲𝗲𝗿 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀
• DAMAC Properties (UAE)—Director, DX & AI Innovation: customer-journey transformation; built AI tools and automation shaping AED 2 bn+ portfolios.
• HSBC & Batelco—AI-enabled acquisition and retention playbooks adopted across South Asia & GCC.
• Cisco & Reliance—customer-centric product launches scaling to tens of millions of users. 
• Early roles in real-estate development (Omaxe, Wave Group) cemented my passion for data-driven buyer insight.

𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆
CCXP • PMP | Speaker, World Digital Congress & MarTech ME | Forbes ME & Marketing-Shots contributor | Mentor to GCC & India AI/CX start-ups.

Let’s connect if you’re driving digital transformation, scaling AI-led CX/XM or re-imagining journeys. Always keen to exchange ideas—or roll up sleeves alongside fellow builders of great experiences.

𝗥𝗼𝗯𝗼𝘁𝘀 𝗮𝗿𝗲 𝗻𝗼𝘁 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝗯𝗮𝗿𝗯𝗲𝗿𝘀. 𝗧𝗵𝗲𝘆 𝗮𝗿𝗲 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗮𝗱𝗱𝗿𝗲𝘀𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗶𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝗶𝗲𝘀, 𝘄𝗮𝘀𝘁𝗲𝗱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀, 𝘂𝗻𝗲𝘃𝗲𝗻 𝗳𝗮𝗱𝗲𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗽𝗲𝗮𝘁 𝗽𝗮𝘀𝘀𝗲𝘀. 𝗧𝗵𝗶𝘀 𝘁𝗲𝗰𝗵 𝗶𝘀 𝗻𝗼𝘁 𝗮 𝘁𝗵𝗿𝗲𝗮𝘁. 𝗜𝘁 𝗶𝘀 𝗮 𝘁𝗼𝗼𝗹 𝘁𝗼 𝗲𝗻𝗵𝗮𝗻𝗰𝗲 𝘁𝗵𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗴𝗿𝗼𝗼𝗺𝗶𝗻𝗴 𝘀𝗲𝗿𝘃𝗶𝗰𝗲.

Industry estimates place the UAE salon services market at approximately AED 10 billion (≈ USD 2.7 billion), which is projected to grow at a CAGR of roughly 6.7 percent through 2030.

Revenue mix. In women-focused salons, hair services typically account for approximately 60–75 percent of service revenue. Nails, skin, lashes, and waxing split the rest. In men's formats, haircuts usually account for about 50–65 percent. Beard trims and shaves add around 20–30 percent when consistently upsold. Treatments are generally single-digit shares.

The footprint is dense, with more than 1,500 barbershops across the UAE. Booking platforms list 330 plus in Dubai alone.

Establishing a grooming center is a complex and challenging task. A modern fit-out can easily cost between AED 200,000 and 500,000, depending on the interiors, equipment, trained staff, and location. Most of these outlets are owner-operated, and with increasing inflation projected to hover around 2%, the need for efficiency through advanced grooming technology becomes more vital than ever.

What grooming tech and automation looks like in modern salons:
1. Smart mirrors and AR try-on. From L'Oréal's ModiFace to local "smart mirror" installs in Dubai. These tools pre-visualize looks and nudge higher-value services.
2. Compliance-driven sterilization. Dubai Municipality and Trakhees guidelines mandate disinfectant protocols. Autoclaves and UV cabinets standardize hygiene, reduce downtime, and lower audit risk.
3. Large salons in the UAE use CRMs like Fresha, Zenoti, and Phorest to automate bookings, send reminders, track inventory, and conduct business analysis.

Time is the tax. Typically, a haircut session lasts between 15 and 45 minutes. Salon chains are aiming to reduce it to 12 to 17 minutes. The reduction in appointment times by 2 to 4 minutes per client helps salons to accommodate an additional 6 to 10 services per chair each day.

The math is simple. 𝘙𝘦𝘷𝘦𝘯𝘶𝘦 𝘱𝘦𝘳 𝘤𝘩𝘢𝘪𝘳 𝘱𝘦𝘳 𝘥𝘢𝘺 ≈ 𝘢𝘷𝘦𝘳𝘢𝘨𝘦 𝘵𝘪𝘤𝘬𝘦𝘵 × 𝘤𝘭𝘪𝘦𝘯𝘵𝘴 𝘱𝘦𝘳 𝘩𝘰𝘶𝘳 × 𝘴𝘵𝘢𝘧𝘧𝘦𝘥 𝘩𝘰𝘶𝘳𝘴 × 𝘶𝘵𝘪𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯. Pair this with time-in-chair data from your POS to see what a 2–4 minute cycle-time reduction yields in extra revenue per shift. Layer SOPs, staff training, and service add-ons. That is the margin you can see on the profit and loss (P&L) statement.

"Craft stays human. Throughput is the lever. Compress minutes, keep quality, and the margin follows."

#DigitalTransformation #GroomingTech #OperationalExcellence #Dubai #BeautyworldME Beautyworld Middle East

Ram Jalan

We are deploying millions of agents that can act, decide, and scale at speeds human cognition can't match. They'll optimise supply chains, diagnose diseases, trade securities, and design products. But speed isn't just about how fast agents work—it's about how fast they scale.

Zoom showed us scale can happen overnight—10 million daily users in December 2019, 300 million by February 2020. Perplexity went from 3,000 daily users to 10 million in months when solving the right problem at the right time.

Agentic AI will teach us that overnight can happen every day.

Every organization asks: 'How do we scale AI?' Here's the more complex question: Can our business models, infrastructure, and governance actually sustain that scale?

Scaling is both a decision and a discovery. When scale accelerates faster than human cognition can track, only machine intelligence keeps tempo. But when machines make decisions at scale, human judgment and ecological boundaries must govern them.

The next wave of failures won't be technical. They'll be coherence failures—agents scaling faster than humans can govern, slower than markets demand, or optimizing locally while harming ecosystems.

Every act of scaling is a system redesign. Before deploying agents at scale, ask:
What happens when this grows 100x?
Who benefits, who gets left behind?
Which ecosystems get stressed—employees, customers, partners, environment?
Where will people encounter these agents—on the front end or the back end?
Can our infrastructure, governance, and business models sustain this?

From a leadership perspective, three shifts matter:
𝗦𝗲𝘁 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝗶𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝗰𝗮𝗹𝗲, 𝗻𝗼𝘁 𝗮𝗳𝘁𝗲𝗿. You can't govern agents once they're at scale. Build the guardrails—what they can do, what they can't, when humans override—into the architecture, not the audit.

𝗣𝗿𝗲𝘀𝗲𝗿𝘃𝗲 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗺𝗮𝗰𝗵𝗶𝗻𝗲𝘀 𝗰𝗮𝗻'𝘁 𝗮𝗻𝘀𝘄𝗲𝗿
Agents tell you what's optimal, not what's right. Define clear accountability: what level of 'optimal' is acceptable, where do humans take over? For decisions involving money, health, or irreversible consequences, humans stay responsible.

𝗠𝗮𝗽 𝗿𝗶𝗽𝗽𝗹𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝘀 𝗯𝗲𝘆𝗼𝗻𝗱 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻.
Agents reshape ecosystems. Who else feels the impact when you scale? Suppliers, competitors, employees, communities, and regulators. Map second and third-order effects. What systems stress? Who benefits? Who gets displaced? Think beyond organizational walls.

𝗦𝗰𝗮𝗹𝗶𝗻𝗴 = 𝘁𝗶𝗺𝗶𝗻𝗴 + 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 + 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆. 
Over the next 18 months, two types of organizations will emerge: those deploying for speed, and those designing for coherence. The first scales fast. The second scale sustains. The difference won't show in launch metrics. It'll show in what breaks—or doesn't—at 100x.

#ResponsibleAI #AIUAE #DigitalTransformation #AIStrategy #AgenticAI #AIKSA

In my eighteen years as a marketing and technology leader, I've discovered that adopting integrated Martech solutions successfully involves relationship development, technical competence, business strategy, storytelling, and selling to internal and external customers. Along the process, I've assisted hundreds of top business leaders and brands in various industries in developing world-class marketing measurement systems, therefore significantly enhancing marketing and its relationship to business strategy. 
- Using analytic roadmaps and data-driven insights to generate marketing automation strategies
- Implementing integrated marketing technology solutions across the customer purchase lifecycle
- Driving my company's and customers' (internal/external) expansion.
- Increase utilisation of analytics, attribution, optimisation, simulation, and metrics
- Customer value delivery through exceptional customer experience
- Connecting the technical/analytical level to the commercial potential using imaginative narrative

Here is an overview of my projects:
1. Built a MarTech, Creative and Digital Marketing Setup ground up and moving towards an ARR of $400,000
2. Our companies are global leaders in FinTech, IT, Pharma, Paints, Food & Beverage, Manufacturing, Health & Beauty, Online Fashion & Tailoring, and Education
3. Manage the digital transformation of Wave Group's eight business verticals. The company reached 75% Digital First status in five years (arrived figure). It has developed digital business models that span the customer buying journey across all company verticals.
4. I developed a new business model and new platforms and marketing innovations at BW | Businessworld to boost print subscription, internet reading and ad income. Also raised Rs 50 crore.

Specialities:
#Martech #AdobeMarketingCloud #Hubspot #Marketo #digitalmarketing #branding, #socialmedia #neuromarketing #consumerexperience, #advertisingandmarketing, #marketingautomation, #emailmarketing, #analytics, #SEO, #SEM.

Cross-category experience: 
Telecom & Mobility, Internet, Digital and eCommerce, FMCG, Media & Publishing, Real Estate, Cinemas, Education, Health & Wellness, Logistics, CSR & ORM 

Awards & Recognitions:
CIO Review MarTech Professional and Company of 2022
DMA-Asia Marketing Influencer of the Year 2018
Adobe & Paul Writer – Top 100 Most Influential MarTech Leaders of the Year 2017
CMO Asia – Top 50 Most Popular Digital Marketers in India in 2017,2018, 2019

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