TANGME is a travel assistant chatbot designed to consolidate fragmented travel data for tourists in Thailand. The deck highlights a significant market opportunity, citing 106,841,284 Thailand domestic tourists in 2015, up from 98,902,213 in 2014. Technically, the platform utilizes a combination of RASA NLU and Chatfuel, supported by custom review data crawlers and real-time crawlers for booking sites like Agoda and Booking.com. While the deck provides a clear architectural overview and identifies a specific pain point—information overload—it lacks critical business information. There is no me…
Key takeaways
- The market size is defined by Thailand domestic tourist figures, reaching over 106 million in 2015 (Slide 2).
- The core problem addressed is the excessive amount of information required before a trip, illustrated by fragmented search results (Slide 3).
- The solution is a chatbot providing 24/7 service, easy interaction, and immediate answers (Slide 4).
- Product features include attraction/restaurant/hotel/flight search, booking capabilities, and navigation (Slide 6).
- The technical architecture relies on RASA NLU and Chatfuel for the conversational interface (Slide 7).
- Data is sourced via crawlers from platforms like TripAdvisor, Pantip, Wongnai, Agoda, and Booking.com (Slide 7).
- The team consists of four members: a Head Developer, a Designer, and two additional Developers (Slide 8).
- The deck completely omits a business model, financial data, and a funding request.
Executive Summary
TANGME is a travel assistant chatbot aimed at simplifying the trip planning process for domestic tourists in Thailand. The deck is brief, consisting of only 9 slides, and functions primarily as a technical and product introduction. While it establishes a clear market need based on high domestic tourism volume and the frustration of fragmented information, it stops short of being a comprehensive investment deck. It lacks the financial, strategic, and competitive context usually required by venture capital investors.
Slide 1: Title Slide
The opening slide introduces the company name, TANGME , and its core value proposition: Travel Assistant Chatbot . The visual theme uses hexagonal shapes and icons representing mobile technology, ideas, and social interaction, setting a modern, tech-focused tone.
Slide 2: Market Opportunity
This slide presents two large figures to establish the scale of the opportunity. It cites 98,902,213 Thailand Domestic Tourists in 2014 and 106,841,284 Thailand Domestic Tourists in 2015. This demonstrates a growing market of over 100 million annual trips, providing a strong quantitative foundation for the product's relevance in the region.
Slide 3: The Problem
The problem is defined as information overload. The slide states, "There's so much information you must know before your trip." To illustrate this, the slide features a collage of screenshots from various search engines (Google), booking sites (Booking.com), and local review sites. The visual message is that the current planning process is cluttered, fragmented, and overwhelming for the user.
Slide 4: The Solution
TANGME proposes to "Gather all of the data into one place with Chatbot." The solution is characterized by three pillars: 24/7 services , easy to talk to , and immediate answer . This positions the chatbot as a streamlined, always-available alternative to manual web searching.
Slide 5: Product Example
This slide provides visual evidence of the product in action. It shows two screenshots of a mobile chat interface (likely Facebook Messenger, given the UI elements). The screenshots show the bot providing hotel recommendations with images, names (such as S Plus Hotel and Amari Garden Pattaya ), and price information in Thai. This confirms the product is functional and localized for the Thai market.
Slide 6: Features
Tourist attraction, restaurant, hotel, flight search · Booking hotel, flight · Navigation
This indicates that TANGME intends to be an end-to-end travel tool, moving from discovery to transaction and finally to on-trip utility.
Slide 7: Technical Architecture
This is the most detailed slide in the deck. It outlines how the system functions:
Review data crawler: Pulls data from Pantip, TripAdvisor, Emagtravel, and Wongnai into a central Database. · TANGME Core: Utilizes RASA NLU and Chatfuel to process user queries. · Real-time crawler: Queries external APIs or sites like Agoda , Booking.com , and Traveloka to provide live booking options.
This slide provides transparency into the product's backend and how it solves the data fragmentation problem mentioned in Slide 3.
Slide 8: The Team
Pisit Makpaisit - Head Developer · Kanatip Chitavisutthivong - Designer · Padungkiet Tamasee - Developer · Kundjanasith Thonglek - Developer
The team is heavily weighted toward development (3 out of 4 members), which aligns with the technical focus of the deck. However, no bios or previous experience are listed.
Slide 9: Conclusion
The final slide is a standard closing: "Thanks! Any questions?" It includes a smiley face icon but lacks contact information, a website URL, or a call to action.
What TANGME Does Well
The deck is highly focused. It identifies a specific geographic market (Thailand) and a specific user pain point (information fragmentation). By citing domestic tourism numbers, the founders show they understand the scale of their immediate surroundings. The inclusion of a technical architecture slide is a strength for a seed-stage technical team, as it proves they have thought through the data sourcing and natural language processing requirements of a chatbot. The product screenshots also provide necessary proof of concept, showing that the bot can handle localized content and rich media.
What is Missing from the Deck
The TANGME deck is missing several components essential for a professional fundraise: 1. Business Model: There is no explanation of how the company intends to generate revenue. In travel, this is usually via affiliate commissions from bookings or advertising, but the deck does not confirm this. 2. Competitive Analysis: The deck mentions several sites it crawls (like TripAdvisor and Wongnai), but it does not explain how it competes with them or other travel assistants. 3. Traction Metrics: While the deck shows a product example, it does not list user numbers, retention rates, or the number of successful bookings facilitated. 4. The Ask: There is no mention of how much money the team is looking to raise or what the milestones for that capital would be. 5. Roadmap: The deck shows what the product does now, but not where it is going in the next 12-24 months.
Founder Takeaways
Focus on a specific niche: TANGME's decision to focus on Thai domestic tourism rather than "global travel" makes the problem feel more solvable and the market data more relevant. Founders should always lead with the specific market they can dominate first. Show the plumbing: For technical products like chatbots or AI tools, showing an architecture diagram (Slide 7) helps build credibility with technical investors. It moves the conversation from "magic" to "engineering." Don't forget the business: A pitch deck is not a product manual. While the technical details are good, the omission of a business model and a funding ask makes this feel like a student project rather than a startup. Always include a slide on how the business scales and how you will make money.
Frequently asked questions
- What is the primary target market for TANGME?
- Based on Slide 2, the primary target market is domestic tourists within Thailand. The slide specifically cites data for Thailand domestic tourists from 2014 and 2015, indicating a focus on local travel rather than international inbound tourism.
- What technologies does TANGME use to build its chatbot?
- According to the architecture diagram on Slide 7, TANGME utilizes RASA NLU for natural language understanding and Chatfuel as the platform interface. It also employs custom 'Review data crawlers' and 'Real-time crawlers' to fetch data from external travel and review websites.
- Where does the chatbot get its travel information and reviews?
- Slide 7 lists several data sources. For reviews, it crawls Pantip, TripAdvisor, Emagtravel, and Wongnai. For real-time booking information, it connects to Agoda, Booking.com, and Traveloka.
- Does the deck explain how TANGME will make money?
- No. The 9-slide deck does not contain a business model slide, a monetization strategy, or any mention of revenue streams. It focuses entirely on the problem, the technical solution, and the team.
- Who are the founders and what is their background?
- Slide 8 lists the team: Pisit Makpaisit (Head Developer), Kanatip Chitavisutthivong (Designer), Padungkiet Tamasee (Developer), and Kundjanasith Thonglek (Developer). However, the deck does not provide any professional history, past achievements, or educational backgrounds for these individuals.
