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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.
n the ever-evolving landscape of e-commerce, the race to secure customers and meet their delivery expectations has never been more intense. Last-mile delivery providers are constantly seeking new e-commerce clients, but what if I told you that there's a critical factor many overlook? It's not just about acquiring new clients; it's about optimising your position in their checkout process. Here's why:
At Tembi, we understand the significance of where a delivery provider stands in the checkout process. Did you know that up to 60% of final package orders go to the top-ranking delivery provider? This means that by being ranked number 1 instead of 2, 3, or 4 at your clients, you could double or even triple the number of orders from a client.
Interestingly, but not surprisingly, our data shows that the top-ranking delivery provider is the cheapest option in up to 80% of cases.
End-user delivery fees depend on the independent deal between last-mile providers and webshops. Other than lowering the delivery price paid by the e-commerce company, there are several ways to affect this.
Progressive discounts based on order volume, collaborative logistic offerings, reliance on service, and related solutions are all options that can help e-commerce companies offer your last-mile delivery service as the cheaper option for the end user.
However, it's about more than just being the cheapest option. Factors such as delivery time, delivery method, sustainability options, and collaboration with the delivery company also play significant roles. One or more of these are always present when the cheapest option differs from the top-ranked delivery option.
Consumers are increasingly conscious of environmental impact and delivery speed, making these factors crucial in their decision-making process. Therefore, they are also weighed in terms of the webshop owner's priorities and systems.
Losing your top ranking can be disastrous, but it's often discovered too late. Sometimes, you only realise this at the end of a quarter when financial results reflect the drop in orders. It's crucial to act swiftly on changes at your clients.
The Tembi Market Intelligence Solution for e-commerce gives you updated insights into your market's webshops, including delivery providers, checkout rankings, export markets, technology use, product categories, and much more.
This not only enables you to identify new ideal client profiles but also to quickly react to changes in your existing clients – like when you lose or win a top 1 position.
Many of our clients establish a business case for using our market intelligence solution for e-commerce based on new client acquisition alone. However, the value of working strategically and tactically to monitor and react to changes in checkout positions at existing clients often significantly exceeds the value of client acquisitions alone.
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!
Curious to learn more? Eager to get started?
Contact Tembi for a commitment-free discussion about our solutions and services to help you optimise your revenue from your current and future e-commerce clients. With Tembi's market intelligence, you can stay ahead of the competition and secure your position at the top of the checkout page.
In the fast-paced world of e-commerce, every advantage counts. By focusing on client acquisition and optimising your checkout positioning, you can ensure your last-mile delivery business thrives in today's competitive market.
Click here to schedule a call today.
ccess website traffic data inside Tembi.
We are happy to share that we’ve entered into a data partnership with Similarweb where we display monthly website data traffic inside our Market IntelligencePlatform.
Using Tembi, you can now use the data from Similarweb to filter your search based on traffic volumes, see historical data on selected webshops and be able find the growing webshops within different product categories.
For access or inquires, please contact our e-commerce responsible Peter.
ast month we published our commercial relocation predictions for 2024 in Denmark, and today, we're publishing our Market Intelligence report for Swedish Commercial Real Estate.
Our data science and econometrics team looked through Swedish data from the last six months together with our predictions models to see which companies in Sweden scored a high moving probability. Looking at companies with minimum five employees, we predict that 4698 companies and production units will change address next year.
Inside the report you'll find, besides relocation predictions, relocation data from the last six months, which industries saw the most movement as well as moving velocity - how many companies have relocated in the three biggest areas in Sweden during the last three years.
After reading the report, If you're interested in getting a sample of which companies will relocate next year in Sweden, book a demo, and we will prepare data for you.
ead list generators is a red ocean. Thousands of companies offer multiple ways to filter company or technology data to narrow down a segment of potential clients.
The challenge: Precision is quite poor as data is not contextualised.
Customer problem: Lead list is very inaccurate, leading to many disqualified leads and lost of time. (And irritation.)
Our machines have been learned and optimised over the course of years to automatically categorise webshops based on product category. We started with 16 categories two years ago, and today we have 38 product categories (i.e. Shoes, Fashion, Beauty, Car parts, Beverages, etc.).
This is how we do it, and this is why our clients see a reduction of disqualified leads with over 80% after switching to Tembi. (If time is money, then an 80% reduction is quite a lot of money.)
Web Scraping
We’ve built custom web scraping tools that automate the collection of data from each webshop. We run hundreds of different scrapers to ensure we can gather the right data.
Data Cleaning
We process the scraped data to remove irrelevant information, correct errors, and prepare it for analysis.
Natural Language Processing (NLP)
We use NLP techniques to analyse the text data from webshops and product descriptions and names. Which helps us understand the context and categorising products based on their characteristics.
Machine Learning (ML) Classification
We've trained a machine learning model on a dataset where the product types are already known. This model is used to classify the products in webshops into predefined categories.
Manual Review and Feedback Loop
We constantly review the process to ensure accuracy and continually improve the ML model through a feedback loop.
And this is why when you look for a website that sells clothes on Tembi, you will only find webshops that sell clothes.
To date we have validated over 1 million webshops around Europe, and update our data several times per month to ensure a very high quality that help sales and marketing teams find the webshops that match their ICP.
Interested in knowing more about our e-commerce solution and how we categorise webshops? Download the product presentation or book a meeting for a demo.
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!
ogether with Andre Veskimeister and Parcel Locker Central we've published the Tembi Delivery Index - a monthly index that tracks the average price that e-commerce businesses charge private customers for delivery.
The index is a useful tool for logistics companies, e-commerce retailers, and consumers to understand the delivery landscape's pricing dynamics over the three most common delivery methods: Home delivery, Parcel locker and PUDO (Pick Up Drop Off).
The Tembi Delivery Index covers today Denmark, Norway, Sweden, Finland, Estonia, Latvia, and Lithuania. More markets will added during 2024.
All the data is drawn from Tembi’s Market Intelligence Platform from a sample of over 100.000 webshops by picking a random product outside the free delivery range and analysing the average delivery prices & delivery methods.
