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s the Swedish real estate market continues to evolve, new trends are emerging, particularly within the commercial sector. Our latest Market Intelligence Report offers an in-depth look into these shifts, providing deep insights and predictions for 2024that could help the industry better understand the market. And where to look for opportunities.
The past six months we have seen a significant activity within the Swedish commercial real estate scene. Over 3,005 companies, each with more than five employees, have relocated, showcasing a trend that follows previous years patterns. Notably, businesses ranging from 5 to 9 employees formed the majority of these moves, highlighting a high activity within this segment.
The Predictive pulse of 2024
Looking ahead, our analytical models have identified a high relocation indicator for 4,698 companies having more than five employees. This indication, drawn from AI models and extensive market data, suggests an active year with a lot of potential. Interestingly, the bulk of this movement is expected from companies with 10 to 49 employees, pointing to a important reshuffling in the commercial real estate space.
Regional Revelations
The report sheds light on the geographical nuances of these relocations. While the Stockholm region has traditionally been a hub of activity, the forthcoming year places a spotlight on Gothenburg, anticipating a higher volume of larger entities on the move. This regional redistribution of commercial real estate activity underscores the diverse opportunities unfolding across Sweden.
In light of that, we also see that companies and production units with more than 20employees in Stockholm tend to move more often than in other parts of the country. 33% of companies in Stockholm changed address during the last three years, while the same number in Gothenburg is 27%.
The Industries on the Move
Diving deeper, certain industries emerge as more mobile than others, including sectors like insurance, information services, and staffing solutions.
Why This Matters
For businesses and investors, understanding these patterns is crucial. The shifting sands of the commercial real estate market offer both challenges and opportunities. For investors, it's a chance to anticipate demand in growing areas and sectors. For businesses, the insights provide a roadmap for strategic decisions about where to plant their flags in a competitive landscape.
Access the full report by clicking on the picture below
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Not-Invented-Here Syndrome
How the Not-Invented-Here Syndrome can slow you down
In the early 2000s, Open Innovation emerged as a response to the Not-Invented-Here(NIH) Syndrome - a mindset particularly prevalent in engineering and IT organisations.Companies often preferred to build their own solutions rather than adopting existing ones, even when viable alternatives were readily available.
The rise of open innovation, open source, and open data has since accelerated technological progress for everyone. Instead of investing heavily in developing proprietary solutions, businesses can now leverage what already exists, saving time, money, and effort.
Why do companies still build their own solutions?
Despite these advancements, some businesses still choose to develop their own versions of existing solutions. The reasons often include:
- A belief that their needs are unique - assuming no existing solution will fully address their challenges.
- A desire for ownership and control - feeling that an in-house solution offers more flexibility or security.
However, these assumptions often lead to inefficiencies and long-term challenges.
Why reinventing the wheel can be a costly mistake
If a solution already exists in the market, trying to replicate it internally is rarely the best approach. Here’s why:
- Existing solutions are already optimised. Established providers continuously improve their products, meaning businesses benefit from ongoing innovation at a fraction of the cost.
- It’s more cost-effective. The upfront investment has already been made by others, allowing you to buy into a mature solution rather than funding development from scratch.
- Avoiding long-term technical debt. When you build your own solution, you’re responsible for maintenance, updates, and troubleshooting, costs that only increase over time. Dependence on internal teams or external consultants can create bottlenecks and slow progress.
The trap of sunk costs
Once a company has invested in a proprietary solution, it becomes difficult to abandon, even when it’s no longer efficient. This is how businesses end up with a giant with feet of clay, a fragile system that limits agility and innovation.
The Smarter Approach
Rather than building something from the ground up, focus on what differentiates your business. If a solution already exists in the market, build on top of it rather than duplicating efforts. The key to staying competitive isn’t in owning every piece of technology, it’s in leveraging the best tools available to drive your core business forward.
How the Not-Invented-Here Syndrome can slow you down
In the early 2000s, Open Innovation emerged as a response to the Not-Invented-Here(NIH) Syndrome - a mindset particularly prevalent in engineering and IT organisations.Companies often preferred to build their own solutions rather than adopting existing ones, even when viable alternatives were readily available.
The rise of open innovation, open source, and open data has since accelerated technological progress for everyone. Instead of investing heavily in developing proprietary solutions, businesses can now leverage what already exists, saving time, money, and effort.
Why do companies still build their own solutions?
Despite these advancements, some businesses still choose to develop their own versions of existing solutions. The reasons often include:
- A belief that their needs are unique - assuming no existing solution will fully address their challenges.
- A desire for ownership and control - feeling that an in-house solution offers more flexibility or security.
However, these assumptions often lead to inefficiencies and long-term challenges.
Why reinventing the wheel can be a costly mistake
If a solution already exists in the market, trying to replicate it internally is rarely the best approach. Here’s why:
- Existing solutions are already optimised. Established providers continuously improve their products, meaning businesses benefit from ongoing innovation at a fraction of the cost.
- It’s more cost-effective. The upfront investment has already been made by others, allowing you to buy into a mature solution rather than funding development from scratch.
- Avoiding long-term technical debt. When you build your own solution, you’re responsible for maintenance, updates, and troubleshooting, costs that only increase over time. Dependence on internal teams or external consultants can create bottlenecks and slow progress.
The trap of sunk costs
Once a company has invested in a proprietary solution, it becomes difficult to abandon, even when it’s no longer efficient. This is how businesses end up with a giant with feet of clay, a fragile system that limits agility and innovation.
The Smarter Approach
Rather than building something from the ground up, focus on what differentiates your business. If a solution already exists in the market, build on top of it rather than duplicating efforts. The key to staying competitive isn’t in owning every piece of technology, it’s in leveraging the best tools available to drive your core business forward.
s a real estate professional, you know that timing and information are everything. Identifying which businesses are planning to relocate mean the difference between closing a deal and missing out.
But what if you could predict these moves before they happen?
At Tembi we have developed a solution that gives real estate professional market foresight, and a real competitive edge establishing early client relationships. Our advanced artificial intelligence platform provides you with the ability to anticipate company relocations, transforming the way you secure leads and grow your business.
The challenge of predicting moves
Traditionally, figuring out which companies are planning to move offices has been a matter of luck or extensive networking and marketing campaigns based on limited data. By the time, a company is ready to look for a new location, or inverse a property hits the market, it is already a race against dozens of other real estate professionals who are also in the know.
Tembi's predictive edge
At Tembi, we have leveraged artificial intelligence to change the game. Our Real Estate Market Intelligence solution is not just another database – it is a predictive tool that can forecast whether a company will move in the next 6 to 12 months, often before the company itself has identified the need to relocate.
How it works
Our proprietary machine learning models analyse vast amounts of data points, from building data and economic trends to company growth patterns, to provide a prediction score on companies likely to move. This insight gives you a significant head start to prepare a proposal, reach out, build a relationship, and maybe even secure a deal before others even know there is an opportunity.
And if you own properties, our Moving Prediction Score is a great tool to health check your current tenants and where they “stand.”
Precision score
Over time, our machine learning models have become very precise. When we estimate that a company will grow, we are right nine out of ten times , giving it a 90% precision rate. And most companies that will move, we capture.
Access comprehensive data
But we do not just stop at predictions. Tembi provides you with access to comprehensive company data, including size, financial health, and industry segmentation. This information allows you to tailor your approach to each potential client's unique needs and preferences.
Gain a competitive advantage
With Tembi’s solution, you are not just getting leads; you are getting a consultant's perspective. Understanding the dynamics of the real estate market is crucial, and we give you the knowledge and insights to navigate it effectively. This means you can position yourself strategically in the market and close deals faster, giving you that competitive edge.
Currently, Tembi's Real Estate Market Intelligence is available to real estate professionals operating in Denmark and Sweden, with plans to expand to other markets soon.
Are you interested in getting more information. Please fill out the form below and we will get back to you as soon as possible.
s a real estate professional, you know that timing and information are everything. Identifying which businesses are planning to relocate mean the difference between closing a deal and missing out.
But what if you could predict these moves before they happen?
At Tembi we have developed a solution that gives real estate professional market foresight, and a real competitive edge establishing early client relationships. Our advanced artificial intelligence platform provides you with the ability to anticipate company relocations, transforming the way you secure leads and grow your business.
The challenge of predicting moves
Traditionally, figuring out which companies are planning to move offices has been a matter of luck or extensive networking and marketing campaigns based on limited data. By the time, a company is ready to look for a new location, or inverse a property hits the market, it is already a race against dozens of other real estate professionals who are also in the know.
Tembi's predictive edge
At Tembi, we have leveraged artificial intelligence to change the game. Our Real Estate Market Intelligence solution is not just another database – it is a predictive tool that can forecast whether a company will move in the next 6 to 12 months, often before the company itself has identified the need to relocate.
How it works
Our proprietary machine learning models analyse vast amounts of data points, from building data and economic trends to company growth patterns, to provide a prediction score on companies likely to move. This insight gives you a significant head start to prepare a proposal, reach out, build a relationship, and maybe even secure a deal before others even know there is an opportunity.
And if you own properties, our Moving Prediction Score is a great tool to health check your current tenants and where they “stand.”
Precision score
Over time, our machine learning models have become very precise. When we estimate that a company will grow, we are right nine out of ten times , giving it a 90% precision rate. And most companies that will move, we capture.
Access comprehensive data
But we do not just stop at predictions. Tembi provides you with access to comprehensive company data, including size, financial health, and industry segmentation. This information allows you to tailor your approach to each potential client's unique needs and preferences.
Gain a competitive advantage
With Tembi’s solution, you are not just getting leads; you are getting a consultant's perspective. Understanding the dynamics of the real estate market is crucial, and we give you the knowledge and insights to navigate it effectively. This means you can position yourself strategically in the market and close deals faster, giving you that competitive edge.
Currently, Tembi's Real Estate Market Intelligence is available to real estate professionals operating in Denmark and Sweden, with plans to expand to other markets soon.
Are you interested in getting more information. Please fill out the form below and we will get back to you as soon as possible.
f you knew which company would move within the next six, or twelve months, what would you do with that prediction?
During the last month I have talked with many Real Estate professionals within different sectors in the real estate industry, asking them the question how an understanding of companies moving intentions would change their work and approach. As expected, they all had different answers and saw different possibilities.
Below I have paraphrased three answers that stood out during my conversations.
The Real Estate Agent
“As a Real Estate Agent, I would analyze our commercial rental pipeline to identify nearby businesses in the right segment with a high probability of moving. Then reach out to them. But I would also use that knowledge when I try to close potential new clients.”
The Real Estate Asset Manager
“Check our tenant status and see if anyone is about to move. The dialogue with our tenants is the most important thing, and this insight will allow me to reach out to them proactively, talk about their journey, and understand if their needs will change soon. So, we can make sure that they will be relocated and stay as tenants with us.”
The Real Estate Developer
“Of course, twelve months is a short time frame for us. However, previously, 12 months is far too short for us, but we are experiencing more frequently than before that large companies are not as inclined to commit to leases 24-36 months in advance. In addition to being very interested in understanding how an area is developing and where there will be a need for future offices, we would also use that knowledge to ensure we find tenants for our upcoming projects.”
Tembi’s Moving Prediction Score
Predicting if a company will move or not is not science fiction anymore. By continuously collecting and gathering millions of data points, we have at Tembi developed a Moving Prediction Score (MPS) that can predict with over 90% precision if a company will move within the next twelve months. That is about 20 times as good as a random guess.
Using artificial intelligence (AI) and gathering unique data, we can predict how a company will grow, how the number of employees will change and when they would need to move to new offices, as well as understand where they might want to move. Calculating the MPS, we do not only look at historical data, we combine different machine learning models and use this across industries and geographies. Our models are trained on 80 % of the company locations, and we test the models the remaining 20 % to see if we are right or wrong. And that is how we can reach a validated precision of 90%.
If you are interested in hearing more about how our Moving Prediction Score works, or how it can be applied to your business, do not hesitate to reach out to us.
f you knew which company would move within the next six, or twelve months, what would you do with that prediction?
During the last month I have talked with many Real Estate professionals within different sectors in the real estate industry, asking them the question how an understanding of companies moving intentions would change their work and approach. As expected, they all had different answers and saw different possibilities.
Below I have paraphrased three answers that stood out during my conversations.
The Real Estate Agent
“As a Real Estate Agent, I would analyze our commercial rental pipeline to identify nearby businesses in the right segment with a high probability of moving. Then reach out to them. But I would also use that knowledge when I try to close potential new clients.”
The Real Estate Asset Manager
“Check our tenant status and see if anyone is about to move. The dialogue with our tenants is the most important thing, and this insight will allow me to reach out to them proactively, talk about their journey, and understand if their needs will change soon. So, we can make sure that they will be relocated and stay as tenants with us.”
The Real Estate Developer
“Of course, twelve months is a short time frame for us. However, previously, 12 months is far too short for us, but we are experiencing more frequently than before that large companies are not as inclined to commit to leases 24-36 months in advance. In addition to being very interested in understanding how an area is developing and where there will be a need for future offices, we would also use that knowledge to ensure we find tenants for our upcoming projects.”
Tembi’s Moving Prediction Score
Predicting if a company will move or not is not science fiction anymore. By continuously collecting and gathering millions of data points, we have at Tembi developed a Moving Prediction Score (MPS) that can predict with over 90% precision if a company will move within the next twelve months. That is about 20 times as good as a random guess.
Using artificial intelligence (AI) and gathering unique data, we can predict how a company will grow, how the number of employees will change and when they would need to move to new offices, as well as understand where they might want to move. Calculating the MPS, we do not only look at historical data, we combine different machine learning models and use this across industries and geographies. Our models are trained on 80 % of the company locations, and we test the models the remaining 20 % to see if we are right or wrong. And that is how we can reach a validated precision of 90%.
If you are interested in hearing more about how our Moving Prediction Score works, or how it can be applied to your business, do not hesitate to reach out to us.
Last-Mile Delivery and Market Intelligence
n the fast-paced last-mile delivery sector, market intelligence is essential for success. By understanding your customers, competitors, and market trends, you can make informed decisions that lead to growth and profitability.
Market intelligence can help you identify new market opportunities, improve operational efficiency, and develop new products and services. It can also help you stay ahead of the competition and differentiate yourself from the crowd.
In this blog post, we have outlined a few specific examples of how last-mile delivery companies are using market intelligence to grow their businesses.
Staying ahead of the competition
Market intelligence can help last-mile delivery companies understand the competitive landscape and identify new ways to differentiate themselves. For example, a company might use market intelligence to identify new technologies that can help them improve their delivery services, or to develop new pricing strategies that are more competitive.
Identifying new market opportunities
By tracking market trends and customer behaviour, last-mile delivery companies can identify new markets to expand into or how green delivery is developing. For example, a company might identify a growing demand for same-day delivery in a particular city or region, or an understanding of the competitor's solution and market penetration of different delivery solutions.
Understanding website traffic patterns and consumer purchase behaviour
Last-mile delivery companies can today track which product categories are growing and which webshop’s are growing in popularity, as well as which international sites are exporting to one’s country. By doing so, last-mile delivery companies can establish early partnerships abroad and better equip themselves for future demands and growth.
Developing new products and services
Market intelligence can help last-mile delivery companies understand the needs of their customers and develop new products and services that meet those needs. For example, a company might develop a new service that delivers packages to customers' workplaces, or a possibility to get delivery at very specific times in the evening.
Improving operational efficiency
Market intelligence can help last-mile delivery companies optimise their delivery routes, reduce costs, and improve delivery times. For example, a company might use market intelligence to identify the best locations for new warehouses, or to develop more efficient delivery schedules.
Getting good data for Market Intelligence is not easy, as it requires a lot of time, and quite often a big investment in data infrastructure and a plan to keep high quality and ensure data is actualized. Hence, many decisions are taken without bringing external factors into the mix or using poor data as a ground.
Different Market Intelligence platforms collect different types of data and can help companies better understand the market dynamics. Here are a few tips and suppliers for getting started with market intelligence.
Getting started with Market Intelligence
As with any strategic decision, starting the process, you need to define your goals. Market intelligence is not an answer, it is a tool. Are you looking for growth within a particular type of webshops, or price development of different delivery methods? Or a more complex question around identify new market opportunities. Once you know your goals, you can start to identify the data and insights you need.
Collect data
There are many different sources of market intelligence data, including customer surveys, industry reports, and government statistics. You can also collect data from your own internal systems, such as sales data and customer feedback.
Analyse the data
Once you have collected data, you need to analyse it to identify trends and insights. You can use a variety of tools and techniques to analyze data, such as data analytics software or more advanced methods using machine learning.
Share the insights
Once you have gained insights from your market intelligence data, you should to share them with your team to gather input, feedback, and get new ideas so you can keep iterating your work. You can either do a presentation or set up a dashboard that monitors the data and actualises your insights.
Tembi and Market Intelligence for Last-Mile Delivery
Our E-commerce Intelligence Platform – EIP – monitors every webshop on the market, and provides data around providers, prices, and delivery methods. This data can be filtered from a webshop category perspective or for example revenue, providing a comprehensive overview and intelligence of the market and competitors. Hence, EIP both collects and analyses the data, and provides (shares) the insights in simple overview. In other words, decision-ready intelligence.
n the fast-paced last-mile delivery sector, market intelligence is essential for success. By understanding your customers, competitors, and market trends, you can make informed decisions that lead to growth and profitability.
Market intelligence can help you identify new market opportunities, improve operational efficiency, and develop new products and services. It can also help you stay ahead of the competition and differentiate yourself from the crowd.
In this blog post, we have outlined a few specific examples of how last-mile delivery companies are using market intelligence to grow their businesses.
Staying ahead of the competition
Market intelligence can help last-mile delivery companies understand the competitive landscape and identify new ways to differentiate themselves. For example, a company might use market intelligence to identify new technologies that can help them improve their delivery services, or to develop new pricing strategies that are more competitive.
Identifying new market opportunities
By tracking market trends and customer behaviour, last-mile delivery companies can identify new markets to expand into or how green delivery is developing. For example, a company might identify a growing demand for same-day delivery in a particular city or region, or an understanding of the competitor's solution and market penetration of different delivery solutions.
Understanding website traffic patterns and consumer purchase behaviour
Last-mile delivery companies can today track which product categories are growing and which webshop’s are growing in popularity, as well as which international sites are exporting to one’s country. By doing so, last-mile delivery companies can establish early partnerships abroad and better equip themselves for future demands and growth.
Developing new products and services
Market intelligence can help last-mile delivery companies understand the needs of their customers and develop new products and services that meet those needs. For example, a company might develop a new service that delivers packages to customers' workplaces, or a possibility to get delivery at very specific times in the evening.
Improving operational efficiency
Market intelligence can help last-mile delivery companies optimise their delivery routes, reduce costs, and improve delivery times. For example, a company might use market intelligence to identify the best locations for new warehouses, or to develop more efficient delivery schedules.
Getting good data for Market Intelligence is not easy, as it requires a lot of time, and quite often a big investment in data infrastructure and a plan to keep high quality and ensure data is actualized. Hence, many decisions are taken without bringing external factors into the mix or using poor data as a ground.
Different Market Intelligence platforms collect different types of data and can help companies better understand the market dynamics. Here are a few tips and suppliers for getting started with market intelligence.
Getting started with Market Intelligence
As with any strategic decision, starting the process, you need to define your goals. Market intelligence is not an answer, it is a tool. Are you looking for growth within a particular type of webshops, or price development of different delivery methods? Or a more complex question around identify new market opportunities. Once you know your goals, you can start to identify the data and insights you need.
Collect data
There are many different sources of market intelligence data, including customer surveys, industry reports, and government statistics. You can also collect data from your own internal systems, such as sales data and customer feedback.
Analyse the data
Once you have collected data, you need to analyse it to identify trends and insights. You can use a variety of tools and techniques to analyze data, such as data analytics software or more advanced methods using machine learning.
Share the insights
Once you have gained insights from your market intelligence data, you should to share them with your team to gather input, feedback, and get new ideas so you can keep iterating your work. You can either do a presentation or set up a dashboard that monitors the data and actualises your insights.
Tembi and Market Intelligence for Last-Mile Delivery
Our E-commerce Intelligence Platform – EIP – monitors every webshop on the market, and provides data around providers, prices, and delivery methods. This data can be filtered from a webshop category perspective or for example revenue, providing a comprehensive overview and intelligence of the market and competitors. Hence, EIP both collects and analyses the data, and provides (shares) the insights in simple overview. In other words, decision-ready intelligence.
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