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A complete guide to the best chatbots

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Chatbots are quickly becoming a best practice for customer service. They provide businesses with the opportunity to improve their customer experience and to be more accessible in an era when phone calls and emails may not always be possible or appropriate. Finding the best chatbot is all you need to make your customers happy!

The chatbot revolution is upon us. Chatbots have been on the rise for a few years now, and they are showing no signs of slowing down. Technology continues to advance, and there will be better solutions coming up every day. Therefore, it will be important to stay informed of the latest technologies and trends to get the most effective chatbots for use. To get the best results, you must understand the different types and the best practices for chatbots.

Understanding the Different Types of Chatbots

Chatbots are programs that use artificial intelligence to simulate conversations with human beings over instant messaging services like Facebook Messenger and WhatsApp. They can provide information about products or help customers solve problems in a natural-sounding conversational tone.

There are different types of chatbots you can create depending on the type of business. They range from customer service bots to news bots. Chatbots might be the answer if you are looking for an effective way to communicate with your customers. However, experts design chatbots differently to serve different purposes. Here are different types of chatbots and their definitions:

  • Conversational bots. These mimic human conversation by using machine learning algorithms to generate responses for users. They ultimately help customers to make decisions.
  • FAQ bots. These offer pre-generated answers to commonly asked questions. They will recommend options and knowledge base information to the users for more help in their search for answers to what they need.
  • Personal assistant bots. These types of chatbots perform tasks like scheduling appointments or helping people find items on websites. There are task-specific bots to help users with specialized needs.
  • Generic chatbots. Typical examples here are Siri and Alexa. These are open-ended bots that can typically answer any question. They are too general, and businesses would not prefer using them to address their specific needs.

The Best Practices for Chatbots

In today’s world, everyone ones to stay connected. With the use of social media, instant messaging, and other types of digital communication, it is easy to stay in touch with friends and family all over the globe. However, there is sometimes a downside to this type of connection: we’re always on! This habit can lead to habitually checking your phone for messages or updates even if you don’t have anything pressing going on, a bad technology habit that can turn into an addiction as time goes by. Fortunately, there is a way out: chatbots.

Chatbots allow users to connect using artificial intelligence (AI) without being constantly logged onto their devices. So, what are the best practices for chatbots? There are important things to put into consideration. Here is a list of some things that can help make your chatbot successful. They include:

  • Making sure the bot is intuitive and easy to use. The chatbot should serve its intended purpose and help your business realize its goals and objectives for growth.
  • Being transparent about the type of data collected from users. Your contacts should feel safe when issuing out their data via the chatbot and get to know the help they will be getting by doing so. 
  • Providing options for how often people receive messages from the bot. Your chatbot shouldn’t be a bother to your users. Therefore, the chatbot design should factor in options for users to pick at their pleasure.
  • Offering an option for scheduling automated messages in advance. This feature is a great option to help your customers get what they want in good time without wasting time.

Final Thoughts

Chatbots are a new frontier in the world of customer service. With chatbots, businesses can provide 24/7 support while at the same time scaling up their customer service without hiring more people. Chatbots have many benefits for business owners, but they often don’t know the best practices that will help them get the most out of their bots. Use the ideas highlighted here to get the best chatbot for your business.

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

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Business

Royal York Property Management And Nathan Levinson On Building Stable Rental Portfolios In A Volatile Market

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Across North America, Europe, and much of the world, rental housing is caught between two pressures. On one side are tenants facing record affordability challenges. On the other side are landlords seeing operating costs, interest payments, and regulatory complexity move in the opposite direction.

Recent analysis from Canada’s national housing agency shows how tight conditions still are. The average vacancy rate for purpose-built rentals in major Canadian centres rose to about 2.2 percent in 2024, up from 1.5 percent a year earlier, but still below the 10-year average despite the strongest growth in rental supply in more than three decades. 

At the same time, higher interest rates have pushed up the cost of acquiring and financing rental buildings, which has slowed transactions and made many projects harder to pencil out.

In this environment, the question for landlords and investors is less about chasing maximum rent and more about building stability. That is where Royal York Property Management and its founder, president, and CEO Nathan Levinson have drawn attention.

From a base in Toronto, Royal York Property Management manages more than 25,000 rental properties, representing over 10 billion dollars in real estate value, and operates across Canada, the United States, and parts of Europe. Levinson also sits on a Bank of Canada policy panel focused on the rental market, where he provides data and on-the-ground insights about rent trends and landlord stress. 

For many smaller property owners, his model has become a reference point for how to treat rental housing as a structured financial asset rather than a side project.

Rental housing under pressure from both sides of the balance sheet

In many countries, the basic rental story is the same. Construction of new rental housing has climbed, yet demand still runs ahead of supply in most major cities. In Canada, overall rental supply grew by more than 4 percent in 2024, the strongest increase in over thirty years, while vacancy rose only modestly. 

At the same time, borrowing costs have moved sharply higher compared with the pre-pandemic period. Research shows that elevated interest rates have reduced the profitability of new multifamily deals and slowed investment activity, even as structural demand for rental housing stays strong.

For small and mid-sized landlords, that tension shows up in a simple way. Mortgage payments, taxes, insurance, and maintenance rarely move down. Rents move up more slowly, and in many jurisdictions they are constrained by regulation or market realities.

Levinson’s view is that this gap will not close on its own. Landlords who want to stay in the market need more predictable income, tighter control of costs, and clearer systems for dealing with risk.

A property management model built for volatility

Royal York Property Management did not start as an institutional platform. Levinson’s early clients were owners of single condominiums, duplexes, or small buildings who were struggling with irregular rent payments, surprise repairs, and complex rental rules.

Instead of handling each property ad hoc, he built a standardized operating model that treats every door as part of a wider portfolio. Each unit sits on a centralized platform that records rent, arrears, lease expiries, maintenance tickets, and legal actions. Owners see real-time statements and performance metrics rather than waiting for year-end reports.

That structure, combined with an internal maintenance and legal team, is designed to handle stress rather than avoid it. When markets are calm, the system may look conservative. When conditions worsen, it is what keeps owners in the black.

“Execution is everything” is how Levinson often frames it in interviews. 

Turning rent into a more predictable income stream

The feature that first drew many investors to Royal York Property Management is its rental guarantee program in Ontario. Under this model, landlords receive their rent even if a tenant stops paying. RYPM takes responsibility for legal proceedings, arrears recovery, and re-leasing the unit, while the owner continues to receive income.

Independent profiles of the company describe this as one of the first large-scale rental guarantee frameworks in the Canadian market, and note that the firm manages tens of thousands of units under this structure. 

The guarantee itself is closely tied to local law and does not transfer directly into every jurisdiction. The underlying logic, however, is straightforward:

  • Treat unpaid rent as a recurring and manageable risk rather than an occasional shock.
  • Price that risk into a clear product instead of handling each case informally.
  • Use scale, legal expertise, and data to keep default rates low and resolution times shorter.

For landlords who are facing mortgage renewals at higher interest rates, having a more stable rent stream can be the difference between holding a property and being forced to sell. That is one reason rental guarantee models have started to attract interest from investors outside Canada who are watching RYPM’s approach.

Using technology to see risk earlier

Behind the guarantee and the day-to-day operations is a technology stack that tries to surface problems before they become crises. Royal York Property Management’s internal platform uses data from payments, maintenance, and tenant behavior to flag risk signals and operational bottlenecks. 

Examples include:

  • Tenants who move from on-time payments to repeated short delays.
  • Units where small repair tickets point to a larger capital issue ahead.
  • Buildings where complaint volumes suggest service gaps or staffing problems.

Rather than treating these as isolated events, the system aggregates patterns across thousands of units. That allows management to decide whether a problem is individual, building-specific, or systemic.

Levinson has also pushed this data outward. As a member of the Bank of Canada’s rental policy panel, he provides anonymized information on rent collection, defaults, and renewal behavior, which feeds into broader discussions about financial stability and housing policy. 

The same data that protects a landlord’s cash flow in one building helps central bankers understand how higher rates are affecting thousands of households.

Why the Canadian case matters for global landlords

Several recent reports underline how closely rental markets are now tied to national economic performance. Tight rental supply and high rents are feeding inflation in many economies. At the same time, higher borrowing costs are discouraging new construction, which risks prolonging shortages. 

This feedback loop is especially hard on small landlords. Many own only one or two properties and have limited room to absorb higher mortgage payments or extended vacancies. Analysts in Canada and abroad have warned that some owners are at risk of default as their loans reset at higher rates. 

In that context, the Royal York Property Management model offers three lessons that travel across borders:

  1. Standardization protects both sides. Clear processes for screening, rent collection, maintenance, and legal steps reduce surprises for owners and tenants at the same time.
  2. Risk pooling is more efficient than one-off crises. Handling arrears, legal disputes, and vacancies inside a structured system is less costly than improvising each time.
  3. Operational data belongs in policy conversations. When policymakers have access to real rental data rather than only mortgage statistics, interventions can be better targeted.

It is not an accident that Levinson’s work now sits at the intersection of private property management and public financial policy.

What everyday landlords can borrow from the Royal York playbook

Most landlords will not build a 25,000-unit management platform. Many will never interact with a central bank. The core ideas behind Nathan Levinson’s approach are still accessible to smaller owners that manage a handful of properties.

Three practices stand out.

First, treat every rental unit as part of a simple portfolio. That means using a consistent template to track rent, arrears, expenses, and vacancy days for each property, then reviewing it on a schedule instead of only when something goes wrong.

Second, write down the rules for risk in advance. Late-payment steps, repayment plans, documentation standards, and maintenance response times should exist on paper, not only in memory. Royal York’s experience suggests that clear rules reduce conflict, because everyone knows what will happen next. 

Third, invest in service as a protective layer. Multiple independent profiles of RYPM point out that faster response times and transparent communication reduce tenant turnover and protect building condition, which in turn supports long-term returns. 

For landlords and investors trying to navigate today’s volatile rental markets, the message from Royal York Property Management and Nathan Levinson is surprisingly simple. You cannot control interest rates or national housing policy. You can control how organized your portfolio is, how clearly you manage risk, and how consistent your operations feel to the people who live in your buildings.

For many, that shift from improvisation to structure is what will decide whether their rental properties remain a source of wealth or turn into a source of stress.

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