"I Have Three Staff Members and None of Them Do Anything Interesting"
Janet Wong has run a boutique travel agency in Wan Chai for fourteen years. She specialises in customised Japan tours — cherry blossom season packages, autumn foliage trips, ski holidays in Hokkaido — for Hong Kong families and small groups. She has three full-time staff. In 2024, she sat down and calculated how they actually spent their days.
"I realised that 60% of what my team does is data entry and answering the same questions," she told us. "How many days in Tokyo? What's included in the package? Can we change the hotel? Is this date available? Every week, we're answering those questions hundreds of times. It's not the work I built this agency for."
The Scale of the Manual Problem
Janet's agency processes approximately 200 tour bookings per month during peak periods — roughly 50 per week. Each booking involves an average of 4–6 email exchanges or WhatsApp conversations to finalise details: itinerary preferences, hotel choices, flight options, dietary requirements, insurance add-ons. That is 200–300 individual message exchanges per week — plus the corresponding data entry into the agency's booking system, invoice generation, and follow-up reminders for deposit deadlines.
In November 2024, the peak cherry blossom booking season began. Janet's team was overwhelmed. Two packages were booked for the wrong dates due to a manual data entry error. The rectification cost the agency HK$22,000 in rebooking fees and consumed four days of staff time to resolve. Janet started researching AI the following week.
What Janet's Agency Implemented
In January 2025, Janet deployed an AI booking assistant integrated with WhatsApp and her agency's website. The implementation focused on three specific workflows that consumed the most staff time:
--- Initial enquiry handling: When a customer messages asking about Japan tour packages, the AI responds with relevant options based on stated preferences (group size, dates, budget, interests), answers standard questions about inclusions, and presents a selection for the customer to consider. The customer can ask follow-up questions and get accurate answers from the AI before speaking to a consultant.
--- Booking form and specification collection: Once a customer has selected a package, the AI guides them through a structured booking form — collecting all required information (names, passport details, dietary requirements, special requests, payment preference) in a single conversational exchange. The completed data is automatically populated into the agency's booking system, eliminating manual data entry.
--- Deposit reminders and document collection: The AI sends automated reminders for deposit deadlines, final payment due dates, and document submission requirements — in Cantonese, English, or Simplified Chinese depending on the customer's profile.
The Results: Six Months Later
Janet shared her six-month numbers with us:
--- Manual data entry reduced by 85%. The AI collects and populates booking data directly, eliminating the most error-prone step in the process.
--- Booking errors: zero in six months. The November 2024 type of error — wrong dates due to manual transcription — has not recurred.
--- Staff time on routine enquiry handling: down from approximately 4 hours per day (across the team) to under 40 minutes.
--- The time recovered was reinvested into customisation: Janet's team now spends their time creating genuinely personalised itineraries for customers who want something beyond the standard package. This has increased her average booking value by 18%.
What Janet Tells Other Travel Agency Owners
"The work I was paying my team to do — data entry, answering the same questions, sending reminders — AI does better and faster. The work that actually builds customer loyalty — understanding what a family really wants from their holiday, suggesting the ryokan in Kyoto that's perfect for them — that's still us. AI didn't replace my team. It gave them their jobs back."
懂AI的冷，更懂你的難 — UD 同行28年，讓科技成為有溫度的陪伴.
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