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Act before the market
s we approach the year's final quarter, the stakes for last-mile delivery companies couldn't be higher. With the majority of revenue generated from B2C webshops, Black Friday, Cyber Monday, and the Christmas season represent crucial opportunities to maximise profits.
However, preparation for these peak periods involves more than ramping up staff, fine-tuning routing, and increasing throughput.
At Tembi, having helped over 40 last-mile providers across Europe, we understand that strategic planning on the commercial side can make or break your Q4 performance. To help you in the process we have collected a five of our key learnings on the topic.
Instead of focusing solely on acquiring new clients, ensure you're optimally positioned with your existing ones. Monitoring your position in their checkout process can yield significant returns. Being positioned as the top delivery provider at the delivery checkout can dramatically increase the number of orders you receive, often doubling or even tripling them.
From several of our Last-mile delivery clients, we have witnessed an average of 30%-50% increase in top-1 rankings working tactically with this. Typically, this amounts to a total increase of 20%- 33% in revenue from the existing client base!
Strategic client acquisition is essential. Focus on attracting webshops that boast a strong infrastructure, high order volumes, and the right geographical locations that align with your logistics.
These targeted efforts can significantly enhance your profit margins and operational efficiency.
On the other hand, failing to identify the clients that are right for you means losing time and money on unsuccessful outreach, attending irrelevant meetings, and seeing your closing rate decline. And even worse, potentially attracting a non-profitable client for your business.
Market research or a good market insight & sales intelligence tool will help ensuring you target the right clients. More is not always better.
Understand where you stand out compared to your competitors and highlight your unique selling points to differentiate yourself in a crowded market. Are your delivery times faster? Do you offer more sustainable options? Is your service reliability superior?
Tembi’s E-commerce Market Intelligence solution provides users with a comprehensive, data-driven market overview. This enables last-mile delivery companies to understand their performance and how they measure up against competitors. Our data not only visualises your strengths but also serves as credible evidence of your advantages.
Combining this data with comprehensive insights into each webshop in your market provides a significant advantage in sales meetings. You can tailor your pitch using up-to-date information, demonstrating how your solution will enhance the delivery experience for your customers' clients. This personalised approach showcases the specific benefits and improvements your service offers, making a compelling case for why your company is the best choice.
Q4 is a vulnerable time for webshops, where faulty shipments and slow deliveries can be extremely costly. Success often stems from a partnership approach between webshops and last-mile providers.
Engage deeply with your clients to ensure they see you as a trusted partner they can rely on during these critical periods.
In essence, this is where you want your sales and account management team to spend the majority of their time, which can be enabled by strong processes and the right tools/technologies to help your team be even more efficient.
Effective planning and execution require time, structured outreach, and meticulous account management. There is no easy way. The sooner you start, the better positioned you'll be to capitalise on the high season's opportunities. The time is now – not in October.
At Tembi, we bring years of experience in delivering market insights and partnership services that drive success.
Our market intelligence solutions provide last-mile delivery companies with continuously updated data and insights into webshops, delivery provider rankings, export markets, technology usage, product categories, and much more - allowing companies to react swiftly to changes, maintain top rankings, and increase revenue from their existing client base.
We tailor our supportive services to each client's needs, and we would love nothing more than to set up a free, non-committal session to discover how our e-commerce market intelligence solution could help your business achieve its revenue goals—both in Q4 and throughout the year.
ith Tembi you don’t just get enriched B2B company data, we’ve actually visited every webshop on the market to ensure it is operating, analysed its products to understand what product category it belongs to, and connected traffic data from SimilarWeb to understand how its popularity has developed.
A similar exercise would take 82 years for a person if s/he worked without a pause. And we do it bi-weekly.
At Tembi we are fascinated by the challenge of large-scale data gathering and analytics, and the more complicated, the more creative our product and data science team gets.Our Market Intelligence solution for companies targeting webshops - E-commerce Core – visits bi-weekly any active webshop in the European market capturing data on:
• Technology platform (WooCommerce, Shopify, Magento etc.)
• Payment providers/systems (Klarna, Ayden, Stripe etc.)
• Product data (Products sold, number of products, product growth etc.)
• Company data (Ownership, address, warehouse(s), financial data etc.)
• Operating markets (languages, export markets etc.)
On top of this, we use proprietary AI-models to categoriSe each webshop into a product category using both image recognition and large language models (LLM) to ensure high quality data when you filter our database.
We’ve been there ourselves, looking for that last filter to get a precise search result –why we’ve added over 50 filter options to our product to ensure you can find exactly the webshop you’re looking for. Filter or cross-filter on product categories, growth stage, number of employees, website traffic, number of products, languages –and if you would lack a filter, our team is quick to add it (if we have the data of course).
With deep data on each webshop, we can uncover insights by combining data in different ways. Our econometric and AI-models can today predict revenue estimations, company growth and for example technological investments – adding a deeper understanding of the maturity of a webshops operations.
Combining these insights with webshops data further increases your possibility of narrowing your targeting, as well as better understanding your current clients, or where you’ve had success lately.
With better data, we can get better insights that helps us reach our goals faster. If you’re interested in getting a demo or better understand how our clients use Tembi – don’t hesitate to book a call - or find more material about our E-commerce Core Solution here.
n today’s business world, being data-driven is no longer a question; it is a necessity. Organisations that don’t understand how to work with data and leverage it risk falling behind or even going out of business. However, merely being data-driven is not enough anymore. The rapid growth of access to artificial intelligence (AI) and lowered computing cost has amplified the significance of data, driving a shift towards predictive (and even prescriptive) intelligence to stay ahead of the competition.
Transitioning from a data-driven to an AI-driven organisation presents immense opportunities, enabling companies to understand the competitive landscape better, and leverage both market predictions to gain an edge, as well as improving operations to lower operating expenses. This transition requires a fundamental change in how we operate and organise the company. Secondly, we need to decide where to start, and whether to build, or buy a solution.
Here we share five, simple, steps to ensure your organisations success in this transition.
Achieving success with a transition is a strategic choice and an executional leadership challenge. It is crucial for management, whether top-level executives, business unit leaders, or team managers, to clearly communicate that the goal is to capitalise on the benefits of being data-, AI-, or analytics-driven, and where these benefits will have an impact, and why the transition is imperative for the organisation’s success. Leaders should:
Clarifying responsibility is essential as well as identifying the right person to lead the operational work of the transition. Allocate funding centrally rather than locally to prevent initiatives from being perceived as competing with short-term operational needs. By centralizing funding and clarifying responsibility, organisations can ensure that the transition to an AI-driven approach is viewed as a strategic investment rather than an operational cost.
It is unfortunate when initiatives become confined to a single department or individual. The benefits of an AI-driven approach are significant and extend across the entire organisation. Therefore, it is crucial to integrate solutions into as many teams as possible where there is a business case. Engaging more teams in the adoption phase offers several benefits:
Avoid placing the burden on a single individual. Employ the innovative power of the entire organisation to achieve greater success.
For new solutions and strategies to work, they must be integrated into daily operations. Overcoming existing habits and ways of working requires repetition until the new practices become habits. Incorporate the use of data and analytics tools into the organisational rhythm, such as in weekly meetings or daily stand-ups. Measure the impact of these new practices and share the progress with the entire organisation. Highlight how the transition is improving efficiency compared to previous methods.
Fostering an adaptive mindset is crucial for the transition to an AI-driven organisation. This mindset should infiltrate the company culture, regardless of role. Here are three tips for building a stronger adaptive mindset:
It might sound simple, but actively working on lifting and promoting the right people is very often overlooked. Make sure it is part of the leaderships action plan so this practice doesn’t fall between two chairs, or is forgotten within a couple of quarters.
Building a data and AI-driven organisation is essential for maintaining competitiveness in today’s business environment. Transitioning from being merely data-driven to embracing AI and predictive intelligence offers significant advantages, including a better understanding of the competitive landscape, leveraging market predictions, and improving operational efficiencies.
To ensure success in this transition, organisations should follow five key steps. First, management must clearly articulate that becoming an AI-driven organisation is a strategic goal. This involves transparent communication about the importance and challenges of the transition, along with regular follow-ups and continuous leadership support.
Second, organising the transition is crucial. This includes clarifying responsibilities and centralizing funding to ensure that AI initiatives are viewed as strategic investments rather than operational costs.
Third, disseminating the solution broadly across the organisation is vital. Integrating AI solutions into multiple teams enhances collaboration, shares costs, and accelerates the transition, leading to a higher overall ROI.
Fourth, embedding new solutions into daily routines ensures that these practices become ingrained in the organisation’s operations. Regular use and measurement of the impact help highlight the efficiency improvements over previous methods.
Finally, fostering an adaptive mentality is essential. This involves supporting superusers, hiring individuals with an innovative mindset, and promoting a culture that celebrates successes. An adaptive mentality ensures the organisation remains agile and responsive to new opportunities.
By following these steps, organisations can effectively leverage data and AI, achieving sustained success in an increasingly AI-driven world.
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
he e-commerce sector in the Baltic region has seen consistent growth throughout the last ten years, opening up a number of opportunities for investment. Estonia and Latvia, in particular, stand out as some of the most rapidly expanding online retail markets within the Central and Eastern Europe (CEE) area.
Our first Market Intelligence report for the e-commerce Market in the Baltics looks into the foundation of the Industry and its suppliers
Find data & insights around:
🛍️ Number of Webshops in Estonia, Latvia and Lithuania.
📊 Webshop product category distribution per country
⚖️ Market specialisation
📦 Delivery providers, prices and methods
🖥️ Technology platforms that power the webshops
...and much more.
Access the full report for free by clicking on the image below!
urious about the Danish Real Estate market and how it moved? Our new Market Intelligence Report provides a comprehensive analysis of the Danish commercial real estate market. Key highlights include:
This report is a valuable resource for anyone interested in the dynamics of the Danish commercial real estate market, providing data-driven insights and predictions to inform strategic decisions.
Access a free version of the report here.
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.
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.
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.
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.”
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.
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.
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.
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.
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.
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.
here are many “intelligences” in the world of business. Besides the cognitive ability of a business’s staff, it refers to the information that has been gathered, analysed, and presented in a way that is useful for decision-making. It is not just raw data; intelligence is actionable information that provides insight into a particular subject, such as a competitor’s activities or internal business capabilities. "Intelligence" is a multifaceted term that usually denotes a high level of understanding, awareness, or information processing, whether by humans, collectives (like organizations), or technology.
What type of intelligence is needed often depends on what strategic decision you are looking to make, what type of resources you have, and the amount of data. Here are the ten most common ones:
Business Intelligence is a technology-driven process for analysing data, presenting actionable information to help executives, managers, and other corporate end users make informed business decisions. BI encompasses a variety of tools, applications, and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, dashboards, and data visualizations. This process offers comprehensive business metrics, often in real-time, to support better decision-making. With BI, businesses can focus on data-driven strategies to address weaknesses and capitalize on strengths.
Market Intelligence is the gathering of relevant data about the entirety of a company's market space. It covers broad spectrums such as understanding industry trends, identifying market opportunities, and detailed insights into competitors and customers. This intelligence is crucial for forming market entry strategies, pricing models, business development and sales & marketing initiatives. It aids businesses in anticipating market shifts and consumer needs, enabling proactive rather than reactive strategies. The insight gained from market intelligence informs various strategic decisions, such as market opportunity assessment, market penetration strategy, and market development.
Marketing Intelligence is the practice of collecting data from a variety of sources about the market environment a business operates in. It includes the analysis of consumer behaviour patterns, campaign outreach, and purchase triggers. The focus is to understand the success of marketing efforts and to gauge the sentiment and preferences of current and potential customers. It influences tactical marketing decisions and helps businesses adapt their strategies to better meet consumer expectations, enhance brand loyalty, and optimize return on marketing investment.
Competitive Intelligence refers to the systematic collection and analysis of information about competitors and the competitive environment. CI aims to provide a complete picture of the marketplace and the forces at work within it, encompassing aspects such as competitors' strategies, market developments, new entrants, and technological advancements. Effective CI provides a legal and ethical means to anticipate competitive moves and stay ahead of industry trends, supporting strategic planning and risk management.
Customer Intelligence (CI) is a sophisticated analysis of customer data designed to create comprehensive portraits of ideal customers to better understand and predict their behaviour. It is an advanced step beyond basic customer service, seeking not just to address customer needs but to anticipate them. CI combines demographic and psychographic data with transactional and behavioural insights to paint a detailed picture of current and potential customers. This intelligence helps in personalizing marketing strategies, enhancing customer experiences, and boosting customer loyalty. In the age of big data, companies leverage machine learning and AI (Artificial Intelligence) algorithms to process vast amounts of information, providing a deep dive into customer preferences, pain points, and potential opportunities for cross-selling and up-selling.
Financial Intelligence combines understanding a company's financial health with the savvy to use this data in making robust decisions. It involves the analysis of financial data like cash flow statements, balance sheets, and income statements to grasp a company's financial condition and forecast its future performance. It is not just about number crunching; it also includes reading between the lines of financial statements to identify the underlying performance factors, assessing the company's fiscal policies, and ensuring regulatory compliance. Financial Intelligence helps in capital budgeting, financial planning, and aligning financial goals with corporate strategy.
Operational Intelligence (OI) is the real-time dynamic, business analytics that delivers visibility and insight into data, streaming events, and business operations. OI solutions run query analysis on live feeds and event data to deliver real-time operational insights. It involves understanding and optimizing labour productivity, machinery performance, and other operational sectors. By integrating and analysing data from various operations, businesses can quickly identify and address inefficiencies, ensuring the smooth functioning of processes and supporting continuous improvement.
Sales Intelligence refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of information to help salespeople keep up to date with clients, prospect data, and drive business. It includes a range of activities, such as tracking customer data and interactions, social media monitoring, and sales forecasts. With accurate and insightful sales intelligence, sales teams can enhance their productivity, improve lead generation and conversion rates, and drive increased sales and profitability.
Product Intelligence involves collecting and analysing data concerning one's products and those of competitors. It is pivotal in understanding how a product performs across its lifecycle, which features resonate with customers, and what improvements should be prioritized. This intelligence is crucial for product development, management, and innovation, informing companies about user feedback, product usage patterns, and market demands. By leveraging product intelligence, businesses can tailor their product offerings to better meet customer needs and stay competitive in the market.
Technological Intelligence is the systematic gathering and analysis of information about the technological environment of a business to aid decision-making. It includes tracking trends in technology advancements, research and development within the industry, patent filings, and regulatory changes. With a solid technological intelligence strategy, a company can foresee technological disruptions, identify new business opportunities, innovate, and maintain a competitive edge. This intelligence is vital for strategic planning, particularly in industries where technology evolves rapidly and is a key differentiator.
Many types of intelligences are not exhaustive and often overlap. Businesses typically leverage a combination of these intelligence types to inform various functional and strategic areas within their organizations.
ith our E-commerceMarket Intelligence Report, we have taken a deep dive into the e-commerce industry in Sweden, Finland, Denmark, and Norway to better understand delivery price differences, who are the dominant delivery providers and i.e. which technology providers power all the webshops.
The report is packed with data & insights to give the reader a better understanding of the market as well as the competitive landscape.
The nordic e-commerce is growing fast, with a market size of over €38 billion distributed over 76.000 webshops. Out of the regions 27 million people, more than 19.5million are online shoppers. It's also an exciting place for startups — over the past three months, 4,848 new webshops have opened up online.
All data in this report comes from Tembi’s E-commerce Intelligence Platform (EIP).
We don’t talk about consumer data in this report. We only focus on the businesses in thee-commerce industry, such as webshops, delivery providers, and technology providers.
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