Future of Conversational AI for Travel and Hospitality Businesses

Fuelled by technology, the travel industry is experiencing rapid growth across the digital landscape. However, online travel planning still has some major roadblocks such as inconsistent customer support, irrelevant search experience, complex cancellation policies, and more. Multi-channel chatbot development services and conversational AI for travel and hospitality businesses are accelerating customer outreach efforts with greater efficiency.

This blog post explores how AI’s recommendation engines, natural language processing techniques, and in-depth analysis propel growth in travel businesses.

Automating Flight Bookings
The current process of online flight booking is a time-consuming and complicated experience even for the digitally adept travelers. It involves various challenges such as users’ inability to sift through complex flight schedules, comparing prices, and understanding cancellation policies.

With advancements in machine learning solutions, conversational AI can contribute to a seamless flight booking experience for customers across channels. Travel businesses can save users from manually hunting for suitable travel plans by building conversational interfaces that-

a) Fetch relevant travel plans with specific filters like the choice of airports, flight, budget, and destinations covered.

b) Estimate booking prices for easy comparison

c) Assist with additional information such as regional attractions, in-demand travel plans, etc.

Recommending Personalized Offers
The incorporation of AI-powered recommendation engines has witnessed a major surge across social media and customer service platforms. More personalized content enhances customer engagement and experience leading to increased loyalty.

By analyzing a customer’s travel history and recent searches, conversational AI can make speedy and more diverse travel recommendations. Travel and hospitality businesses can use machine learning solutions to segment audience preferences and thereby provide personalized offers including-

a) Budget-friendly accommodation options

b) Alternative travel dates or routes

c) New travel destinations based on traveler’s preferences

d) Recommended local dine-out options with attached offers

Streamlining Customer Support
Customer service is one of the most crucial factors for success in the travel and hospitality industry. The algorithmic advancements in the natural language processing capabilities of AI have empowered travel chatbots to handle customer grievances in no time. Today, travel and hospitality leaders have incorporated chatbots across their digital channels for-

a) Building convenient and automated customer support windows

b) Optimizing upselling and cross-selling efforts

c) Strengthening customer relations with quick response to complaints and grievances

d) Searching for cheapest deals, flights, and hotel reservations and organizing long and short distance trips.

Deploying Conversation AI for Travel and Hospitality Businesses with Oodles AI
We, at Oodles, build business-specific machine learning solutions for travel and hospitality businesses. Our AI team has hands-on experience in training ML models with natural languages to build dynamic conversational AI interfaces that-

a) Assist travelers with flight details, trip planning, flight cancellation, and price comparison.

b) Recommend personalized offers and deals based on historical customer data and preferences.

c) Predict weather conditions by using demographic data to ensure security.

d) Handle routine customer interactions with contextual responses to increase brand loyalty and improve engagement.

Talk to our artificial intelligence team to know more about our AI development services.

#chatbot development services

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Best Electric Bikes and Scooters for Rental Business or Campus Facility

The electric scooter revolution has caught on super-fast taking many cities across the globe by storm. eScooters, a renovated version of old-school scooters now turned into electric vehicles are an environmentally friendly solution to current on-demand commute problems. They work on engines, like cars, enabling short traveling distances without hassle. The result is that these groundbreaking electric machines can now provide faster transport for less — cheaper than Uber and faster than Metro.

Since they are durable, fast, easy to operate and maintain, and are more convenient to park compared to four-wheelers, the eScooters trend has and continues to spike interest as a promising growth area. Several companies and universities are increasingly setting up shop to provide eScooter services realizing a would-be profitable business model and a ready customer base that is university students or residents in need of faster and cheap travel going about their business in school, town, and other surrounding areas.

Electric Scooters Trends and Statistics

In many countries including the U.S., Canada, Mexico, U.K., Germany, France, China, Japan, India, Brazil and Mexico and more, a growing number of eScooter users both locals and tourists can now be seen effortlessly passing lines of drivers stuck in the endless and unmoving traffic.

A recent report by McKinsey revealed that the E-Scooter industry will be worth― $200 billion to $300 billion in the United States, $100 billion to $150 billion in Europe, and $30 billion to $50 billion in China in 2030. The e-Scooter revenue model will also spike and is projected to rise by more than 20% amounting to approximately $5 billion.

And, with a necessity to move people away from high carbon prints, traffic and congestion issues brought about by car-centric transport systems in cities, more and more city planners are developing more bike/scooter lanes and adopting zero-emission plans. This is the force behind the booming electric scooter market and the numbers will only go higher and higher.

Companies that have taken advantage of the growing eScooter trend develop an appthat allows them to provide efficient eScooter services. Such an app enables them to be able to locate bike pick-up and drop points through fully integrated google maps.

List of Best Electric Bikes for Rental Business or Campus Facility 2020:

It’s clear that e scooters will increasingly become more common and the e-scooter business model will continue to grab the attention of manufacturers, investors, entrepreneurs. All this should go ahead with a quest to know what are some of the best electric bikes in the market especially for anyone who would want to get started in the electric bikes/scooters rental business.

We have done a comprehensive list of the best electric bikes! Each bike has been reviewed in depth and includes a full list of specs and a photo.

Billy eBike

 https://www.kickstarter.com/projects/enkicycles/billy-were-redefining-joyrides

To start us off is the Billy eBike, a powerful go-anywhere urban electric bike that’s specially designed to offer an exciting ride like no other whether you want to ride to the grocery store, cafe, work or school. The Billy eBike comes in 4 color options – Billy Blue, Polished aluminium, Artic white, and Stealth black.

Price: $2490

Available countries

Available in the USA, Europe, Asia, South Africa and Australia.This item ships from the USA. Buyers are therefore responsible for any taxes and/or customs duties incurred once it arrives in your country.

Features

• Control – Ride with confidence with our ultra-wide BMX bars and a hyper-responsive twist throttle.
• Stealth- Ride like a ninja with our Gates carbon drive that’s as smooth as butter and maintenance-free.
• Drive – Ride further with our high torque fat bike motor, giving a better climbing performance.
• Accelerate – Ride quicker with our 20-inch lightweight cutout rims for improved acceleration.
• Customize – Ride your own way with 5 levels of power control. Each level determines power and speed.
• Flickable – Ride harder with our BMX /MotoX inspired geometry and lightweight aluminum package

Specifications

• Maximum speed: 20 mph (32 km/h)
• Range per charge: 41 miles (66 km)
• Maximum Power: 500W
• Motor type: Fat Bike Motor: Bafang RM G060.500.DC
• Load capacity: 300lbs (136kg)
• Battery type: 13.6Ah Samsung lithium-ion,
• Battery capacity: On/off-bike charging available
• Weight: w/o batt. 48.5lbs (22kg), w/ batt. 54lbs (24.5kg)
• Front Suspension: Fully adjustable air shock, preload/compression damping /lockout
• Rear Suspension: spring, preload adjustment
• Built-in GPS

Why Should You Buy This?

• Riding fun and excitement
• Better climbing ability and faster acceleration.
• Ride with confidence
• Billy folds for convenient storage and transportation.
• Shorty levers connect to disc brakes ensuring you stop on a dime
• belt drives are maintenance-free and clean (no oil or lubrication needed)

**Who Should Ride Billy? **

Both new and experienced riders

**Where to Buy? **Local distributors or ships from the USA.

Genze 200 series e-Bike

 https://www.genze.com/fleet/

Featuring a sleek and lightweight aluminum frame design, the 200-Series ebike takes your riding experience to greater heights. Available in both black and white this ebike comes with a connected app, which allows you to plan activities, map distances and routes while also allowing connections with fellow riders.

Price: $2099.00

Available countries

The Genze 200 series e-Bike is available at GenZe retail locations across the U.S or online via GenZe.com website. Customers from outside the US can ship the product while incurring the relevant charges.

Features

• 2 Frame Options
• 2 Sizes
• Integrated/Removable Battery
• Throttle and Pedal Assist Ride Modes
• Integrated LCD Display
• Connected App
• 24 month warranty
• GPS navigation
• Bluetooth connectivity

Specifications

• Maximum speed: 20 mph with throttle
• Range per charge: 15-18 miles w/ throttle and 30-50 miles w/ pedal assist
• Charging time: 3.5 hours
• Motor type: Brushless Rear Hub Motor
• Gears: Microshift Thumb Shifter
• Battery type: Removable Samsung 36V, 9.6AH Li-Ion battery pack
• Battery capacity: 36V and 350 Wh
• Weight: 46 pounds
• Derailleur: 8-speed Shimano
• Brakes: Dual classic
• Wheels: 26 x 20 inches
• Frame: 16, and 18 inches
• Operating Mode: Analog mode 5 levels of Pedal Assist Thrott­le Mode

Norco from eBikestore

 https://ebikestore.com/shop/norco-vlt-s2/

The Norco VLT S2 is a front suspension e-Bike with solid components alongside the reliable Bosch Performance Line Power systems that offer precise pedal assistance during any riding situation.

Price: $2,699.00

Available countries

This item is available via the various Norco bikes international distributors.

Features

• VLT aluminum frame- for stiffness and wheel security.
• Bosch e-bike system – for their reliability and performance.
• E-bike components – for added durability.
• Hydraulic disc brakes – offer riders more stopping power for safety and control at higher speeds.
• Practical design features – to add convenience and versatility.

Specifications

• Maximum speed: KMC X9 9spd
• Motor type: Bosch Active Line
• Gears: Shimano Altus RD-M2000, SGS, 9 Speed
• Battery type: Power Pack 400
• Battery capacity: 396Wh
• Suspension: SR Suntour suspension fork
• Frame: Norco VLT, Aluminum, 12x142mm TA Dropouts

Bodo EV

http://www.bodoevs.com/bodoev/products_show.asp?product_id=13

Manufactured by Bodo Vehicle Group Limited, the Bodo EV is specially designed for strong power and extraordinary long service to facilitate super amazing rides. The Bodo Vehicle Company is a striking top in electric vehicles brand field in China and across the globe. Their Bodo EV will no doubt provide your riders with high-level riding satisfaction owing to its high-quality design, strength, breaking stability and speed.

Price: $799

Available countries

This item ships from China with buyers bearing the shipping costs and other variables prior to delivery.

Features

• Reliable
• Environment friendly
• Comfortable riding
• Fashionable
• Economical
• Durable – long service life
• Braking stability
• LED lighting technology

Specifications

• Maximum speed: 45km/h
• Range per charge: 50km per person
• Charging time: 8 hours
• Maximum Power: 3000W
• Motor type: Brushless DC Motor
• Load capacity: 100kg
• Battery type: Lead-acid battery
• Battery capacity: 60V 20AH
• Weight: w/o battery 47kg

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Remote Check-Ins, AI, Apps: Tech-Enabled Recovery Strategies for Hotels

Technology is ever-evolving and so are user expectations. Technology is also a key element hotels can use to stand out from the crowd, to better assist their guests, and increase revenue. Sales are a key area in which hotels are always on the lookout for innovative methods to increase their profits.

As the world becomes gradually more digital, travellers’ behaviour is rapidly changing and hoteliers’ strategies need to follow to stay profitable and raise their income in the long run. The hotel business has become a digital game, where reservation and front-desk managers go hand in hand with tech specialists. Technology is no longer built for one specific task. Instead, it aims to help hotels operate more intelligently and efficiently, as well as helping them provide better guest experiences. Once those benefits are in place, the money they generate will follow.

#hospitality #hospitality-tech #technology #future-of-travel-industry #future-of-travel #future-of-ai #coronavirus-impact-on-business #tourism-tech

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Considerations for a Solution to Delivers Business using Conversational AI

Learn about the basics of the technology, as well as the top considerations for a solution that delivers a great customer experience at scale.

Conversational AI is a complicated technology. Many aspects need to align to create the best solution for the best customer experiences, including Automatic Speech Recognition, Natural Language Processing, Dialog Management, Machine Learning, and more.

Learn about the basics of the technology, as well as the top considerations for a solution that delivers a great customer experience at scale.

Table of contents

Conversational AI Cheat Sheet

Conversational AI: What is it and how does it work?

How does it work?

Conversational AI at a glance

Conversational AI Solution: From simple to advanced

Chatbot

Virtual Customer Assistants

Which one is right for your business?

Conversational AI Cheat Sheet

Choosing the right solution for your business

Conversational AI has been instrumental in improving customer satisfaction, decreasing costs, and increasing revenue. However, Conversational AI applications vary in levels of complexity and can result in dramatically different end products, and thus different experiences, for the end-user.

With that said, before choosing a Conversational AI solution for your business, it is important to determine not only your business goals but also the experience you want to deliver to your customers. Our cheat sheet will help you better understand the solutions available today, and the experiences they deliver, so you can better evaluate which is the best for your brand.

Tractical and IDC both identify automated customer service as the number one use case for AI-enabled digital transformation. Source: Tractica (2019, Q4). Customer Service Virtual Digital Assistants; IDC (2019, Q4). Worldwide AI System Spend for Automated Customer Service Agents.

#artificial-intelligence #business #ai #business-strategy #chatbots #conversational ai

Unlocking the Power of Data And AI for Businesses

The latest reports show that the Artificial Intelligence market was worth $40.2 billion in 2020. Experts attribute this growth to the increasing business adoption of AI. Data is the biggest asset that a company has in 2021. A comprehensive data strategy ensures the company can derive valuable insights that enable better decision-making.

What is the role of AI in business? There are countless examples of AI in business for forecasting and predicting values. For example, AI solutions enable financial companies to oversee stock price fluctuations and take advantage of trading opportunities. MetaStock is one such solution that provides analytical tools based on AI and data to predict stock prices.

Another approach of data and analytics that companies take is to forecast their budget, expenses, and revenues. It involves using historical data and transactional patterns to identify a company’s budget. Big data provides solutions to specific business problems through Artificial Intelligence models.

This article will focus on the following topics – 

• AI capabilities in business
• What is intelligent analytics?
• Latest trends in data analytics
• Business cases for AI

Let’s have a look at these topics in detail.

AI Capabilities in Business 

Harvard Business Review suggests that AI can do three significant things for your business. It can – 

1. Automate business processes
2. Gain valuable insights
3. Improve customer engagement

When people ask, “Why is data important for AI,” the answer is that all AI solutions require data. The foundation of AI analytics is historical or real-time data. With the help of data, AI can deliver the above three capabilities.

AI enables business process automation with the help of Robotic Process Automation. RPA bots can work with triggers, while smart bots can identify things that need to stay or eliminate during automation. 

The biggest role of AI in business is to generate and deliver valuable insights. When there’s tons of data, patterns are bound to emerge. The power of data in business is brought to its best use when companies can use any kind of data to improve business results. It usually happens by finding opportunities that are only seen through data and analytics. 

Artificial Intelligence drives customer experience by learning from the environment. Smart bots and AI algorithms deliver better customer service by understanding the conversation in real-time. Several companies use AI customer experience bots to enhance service delivery to their audience.

Read More: A CTO’s guide for AI Implementation

What is Intelligent Analytics?

Intelligent analytics is a branch of Artificial Intelligence. Companies use intelligent data and analytics to uncover meaningful insights. The purpose is to derive value from collected business data.

INSIGHTS – that’s the keyword here. Intelligent analytics is a part of the overall data strategy. It showcases the business that even their top management might sometimes miss. It includes new market segment opportunities, product differentiation parameters, honest product feedback, actual growth rate or products, expense and income status for a particular time period, and much more. 

There are three different types of intelligent analytics – 

• Descriptive analytics
  It focuses on using historical and real-time data to identify what happened during a time period. Examples of AI in business for descriptive analytics include understanding the new customers acquired, sales during a period, and more.
• Predictive analytics
  It focuses on predicting future values for the company. The Machine Learning algorithm uses past values and identifies values that are likely to occur in the future. Examples include predicting the budget for the next year, identifying the number of potential customers, and more.
• Prescriptive analytics
  It focuses on determining the right path that companies should take based on the insights generated from data. It highlights the action steps that will bring the desired results. Examples include price changes based on the historical demand of a product. 

Latest Trends for Data Analytics

As companies move towards modern applications of data analytics, everyone asks the same questions – “How can I use AI in my business?”. We will address the answer in the next section. For now, let’s understand the latest trends in data analytics that make AI possible for businesses. 

1. AI SaaS
   Data solutions are increasingly available as Software as a Service product. Companies can use off-the-shelf software to identify patterns by inputting data in different columns. There are software-based on multiple business functions, while some are common for all processes. However, if you want an enterprise-grade analytical tool, custom AI solutions are more effective.
2. Natural Language Processing
   AI machines are now learning on their own. More and more companies are experimenting with unstructured data through natural language processing. Intelligent bots now have conversations as real as humans do. It brings a new age of AI systems that can interact using emotions, feelings, and everything that humans have.
3. Extended Reality
   Data analytics combined with extended reality is generating unfathomable results. Through AR and VR, companies are creating virtual simulations – but combining it with the AI capabilities for predicting future environments, opportunities and making plans to understand how to solve future challenges. Extended reality delivers an AI customer experience that highly improves the customer satisfaction rate.
4. Interactive Visualizations
   Intelligent analytics is simplifying data representation for companies. There are interactive dashboards through which all stakeholders can better understand the data. It gives a personalized view of all the data points and showcases how it is performing. Interactive visualizations are useful for identifying visual patterns that might be missed otherwise.

Business Cases for AI

Today, there are use cases of AI in almost every business process. Even in the manufacturing sector, intelligent data analytics can help build systems that can identify the maintenance schedule of equipment – keeping it safe from breakdowns. 

There are plenty of applications that are common in business. We will talk about these popular business use cases of AI, based on different functions –

• Customer Service
  Sentiment analysis is a useful application of data analytics in business. Companies can identify what customers are saying about their product. It also includes:
  
  – Customer responses
  – Call forwarding
  – Call classification
  – Intelligent routing
• Marketing
  Marketing analytics is the most significant use. It helps to determine the results that we can achieve from the marketing budget. It also includes:
  
  – Personalized marketing
  – Intelligent content
  – Contextual marketing
  – Budget forecasting
• Sales
  The sales team can identify the future sales potential by analyzing the historical data. It helps to find areas where activities need to be improved. It also includes:
  
  – Predictive sales
  – Sales chatbot
  – Appointment scheduling
  – Lead management
• Operations
  The role of AI in business operations is increasing dramatically. Companies use automation and data analytics to drive valuable insights. It also includes:
  
  – Data mining
  – Predictive maintenance
  – Operational analytics
  – Inventory optimization

Apart from this, there are various business cases in different domains like healthcare, FinTech, HR, Insurance. In every domain and area of business, AI is showing significant results.

Checkout: The Future of Artificial Intelligence Services for Business

Bottom Line

Artificial Intelligence is transforming how companies used to work. Today, intelligent analytics is a business priority. Since data is the biggest asset they have, companies want to leverage AI and derive valuable insights from that data. That’s why more and more businesses are now hiring AI developers to build intelligent solutions.

BoTree Technologies is a leading Artificial Intelligence and Data Analytics company in the US, India, and Singapore.

Contact us today to understand how we can build AI capabilities for your business.

 

Source: https://www.botreetechnologies.com/blog/unlocking-the-power-of-data-and-ai-for-businesses/

#artificial intelligence #ai #ai solutions #ai in business #ai capabilities in business #robotic process automation