.png)
Act before the market
Italy counts 94,724 online retailers, with clothing, groceries and beauty leading the mix, average home delivery cost at €6.5 and OOH at €5.8. With continued investment and InPost’s strong market entry, OOH delivery is expanding rapidly and reshaping the competitive landscape. This Italian last-mile delivery market analysis maps the structure, methods and provider portfolios behind the numbers.
Working in last-mile delivery and interested in another competitive market analysis beyond Italy? Let's connect. Download the full report here.
Italy remains one of Europe’s most active e-commerce markets by merchant count and parcel flow. To help last-mile executives benchmark strategy, this report profiles the market composition, delivery method availability and pricing, and the competitive landscape across six core providers: GLS, Poste Italiane, DPD BRT, DHL, InPost, and FedEx (TNT). You’ll see where demand concentrates by category, how pricing positions each method, and how provider client portfolios skew by retailer size and expected growth.
All figures are derived from Tembi’s continuous monitoring and analysis of Italian online retailers and checkout setups, with consistent taxonomy and normalisation to support like-for-like comparisons. Use it to maintain competitive advantage, capture share in attractive segments, and understand market dynamics with clarity.
Quick takeaways
Italy’s 94,724-strong retailer base skews to clothes & shoes (≈12.1%), then food & groceries (≈6.7%), and beauty (≈5.4%). The size pyramid shows most merchants are medium, fewer large, and about 1% very large, indicating a wide long-tail with concentrated head accounts that influence parcel mix and service expectations. The latest available data from 2020 suggest that around 830 million parcels are shipped domestically each year. Given the latest e-commerce growth estimation of an average annual growth rate of 4.5%, parcel volumes could now be approaching one billion shipments.
GLS and Poste Italiane hold the broadest presence across Italian webshops - GLS appears in 48.7% of retailer checkouts and Poste Italiane in 46.3%. DPD BRT, DHL, InPost, and FedEx (TNT) follow, forming the rest of the competitive landscape.
When looking at the first delivery option offered to shoppers, GLS leads with roughly 30%, followed by DPD BRT (26%) and Poste Italiane (22%).This ordering pattern reflects how retailers prioritise providers based on network reach, reliability, and negotiated terms rather than pure visibility.
In short:
Across Italian retailers, home delivery remains dominant, offered by roughly 89% of webshops. Parcel shops (≈9%) and parcel lockers (≈3%) are still at an early stage of rollout, but both formats are expanding as networks and integrations mature.
The limited share of OOH options reflects the market’s current infrastructure capacity rather than consumer demand alone. With continued investment from providers such as InPost, Poste Italiane, and DPD BRT, OOH coverage is expected to increase steadily over the next few years, giving retailers broader flexibility in how they structure delivery choices and costs.
Pricing across delivery methods follows a clear hierarchy. Home delivery is the most expensive, with DHL and FedEx (TNT) positioned at the higher end in line with their express and international focus.GLS, Poste Italiane, and DPD BRT sit around the market average, reflecting large-scale domestic coverage and standardised pricing structures. InPost maintains the lowest price levels across OOH deliveries, consistent with its parcel-locker model and high network density.
The pricing gap between home and OOH - €6.5 vs €5.8 on average - highlights the economic rationale for providers to keep expanding out-of-home capacity, and in line with most other markets. As networks grow denser, these price differences will continue to influence retailer delivery mix.
Tembi’s analysis segments retailer clients by size and growth outlook, showing how each provider’s portfolio is positioned across the Italian market.
This chart summarises the average retailer size of each provider’s client base on Tembi’s 0–100 scale, where higher scores represent larger and more established webshops.
The stacked bars show how each delivery provider’s clients are distributed by retailer size:
Using Tembi’s forward-looking Growth Indicator - a composite of product portfolio development, traffic momentum, financial proxies, and export activity - InPost has the highest share of high- and very-high-growth retailers, reflecting its alignment with fast-scaling digital merchants. DHL also skews towards higher-growth segments, supported by its express and cross-border strengths. Meanwhile, GLS, Poste Italiane, and DPD BRT hold proportionally larger bases of mature retailers, providing stability and recurring parcel volume.
Locker and parcel shop networks are entering a phase of rapid expansion across Italy.InPost leads with more than 3,000 lockers installed at the start of 2025. DHL and Poste Italiane jointly reported around 500 lockers by mid-2025, alongside an ambitious plan to reach 10,000 units in the coming years. DPD BRT, through its Fermopoint network, aims for up to 4,000 lockers within five years, while GLS initiated its own rollout during 2025.
This coordinated investment places Italy on a clear multi-year OOH growth trajectory, reshaping how carriers balance cost, capacity, and customer reach. The build-out is not just a convenience upgrade; it’s a structural shift in network economics - each new locker or parcel shop reduces last-mile cost per parcel and expands delivery capacity in urban areas.
Why it matters
Rising locker and parcel shop density directly influences:
As the network matures, OOH will become a central component of Italy’s last-mile infrastructure, shaping both consumer choice and carrier efficiency.
Tembi’s analysis highlights three practical dimensions that matter for market strategy and portfolio alignment.
1. Segment by retailer size and category
Italy’s retailer landscape is dominated by small and medium merchants, but larger and premium-category retailers - such as fashion, beauty, and consumer electronics - set higher expectations for service speed, reliability, and returns. Delivery providers should align SLAs, OOH coverage, and returns management to match those standards while maintaining efficient access to the long tail.
2. Model the price–mix effect
With home delivery averaging €6.5 and OOH €5.8, even a modest shift in checkout mix can materially improve cost-to-serve for both carriers and retailers. Tracking these dynamics by category and region helps identify where OOH incentives or dynamic checkout sequencing can achieve measurable margin impact.
3. Track portfolio momentum
Provider client portfolios differ in growth exposure. InPost and DHL are more concentrated among high-growth retailers, while GLS, Poste Italiane, and DPD BRT anchor the market’s stable core. Monitoring these shifts over time helps providers balance predictable SMB volume with faster-growing digital retailers, ensuring coverage across both maturity extremes.
Italy’s last-mile market is broad, price-competitive, and evolving. Method economics continue to favour OOH expansion as networks densify; provider portfolios show divergent exposures across retailer size and growth; and the locker build-out marks a long-term structural transformation rather than a short-term initiative.
This Italian last-mile delivery market analysis outlines the market map and comparative signals needed to inform planning, benchmarking, and partnership strategies across the sector.
Download the full Italian market report or schedule a Tembi demo to see your competitive view updated continuously.
Delivery fees across the Nordics have followed clear seasonal patterns and strategic adjustments over the past two years. Drawing on data from over100,000 webshops in Sweden, Denmark, Finland, and Norway between Q1 2024 and Q32025, we track how average consumer delivery prices (in EUR) have shifted.
This analysis zooms in on the Q4 holiday peak, highlights country-specific behaviours, and compares delivery methods in urban areas - parcel lockers, pickup points, and home delivery. The aim is to show how webshops shape their pricing strategies and how these evolve through the year.
Seasonality is a defining feature of delivery pricing in the Nordics. Q4, the peak holiday quarter, typically brings stable or higher fees rather than discounts. In late 2024, Black Friday and Christmas did not lead to cheaper delivery - instead, many webshops kept prices firm or lifted them slightly.
· Sweden: average home delivery rose from €7.60 in Q3 2024 to €8.00 in Q4, the annual peak.
· Denmark: small increases, such as parcel shop delivery at €5.89 in Q4 versus €5.83 inQ3.
· Finland: parcel shop fees jumped by around 5% in Q4 2024.
· Norway: parcel box delivery peaked during the holiday quarter.
The pattern suggests that in high-demand Q4, retailers prioritise covering fulfilment costs over cutting fees - even when running heavy sales campaigns.
This shifts in Q1, when prices correct downward. After the holiday rush, many webshops reduced or normalised fees:
This Q1 softness reflects the post-holiday slowdown in demand and renewed competition to attract consumers during a quieter season.
Q4 2024 stands out as a high point for delivery fees in several markets, corroborating that peak season surcharges and fewer free-shipping promos were in effect. In fact, during Black Week (Black Friday 2024), retailers across Noridcs reduced the prevalence of free shipping by 4% compared to 2023, opting instead to set spend thresholds or promote premium paid options (source: ingrid.com). In other words, fewer orders enjoyed “free delivery” in Q4 2024, as merchants nudged customers toward paid faster delivery or order bundling.This strategic move helped protect margins during the holiday boom – and consumers generally went along, paying for delivery when the value (speed, convenience) was clear (source: ingrid.com). The seasonal insight here is that peak demand doesn’t equal cheaper shipping; if anything, many webshops use the period to upsell premium delivery or maintain prices, rather than offer blanket free shipping.
Moving through 2025, the Q2 and Q3 2025 data show an interesting reset. By summer 2025, average delivery charges in many categories fell back to or below their levels from the previous holiday season. This sets the stage for how Q4 2025 might play out – which we’ll discuss in a moment.
Each Nordic market shows distinct pricing dynamics, shaped by competition, consumer behaviour, and delivery costs.
Swedish webshops consistently post the lowest delivery fees in the region.In early 2024, prices were modest - around €4.20 for locker delivery and €7.50 for home delivery. These rose steadily through the year, with parcel box and parcel shop deliveries more than 20% higher by Q3/Q4. Home delivery peaked at €8.00 in Q42024, reflecting inflationary pressures and webshop/carriers passing higher rates on to consumers.
In 2025, the trend reversed. By Q3 2025, parcel shop delivery had dropped from €6.57 in Q4 2024 to €5.37 (an 18% decline),while home delivery eased back to €7.59. This points to intensifying competition, with Swedish retailers willing to cut delivery prices quickly to gain an edge.
Denmark’s delivery pricing remained stable through 2024, with parcel lockers and pickup points in the mid-€5 range and home delivery around €7.80–7.90. Even in Q4, increases were marginal- for example, parcel shop delivery at €5.89 in Q4 versus €5.83 in Q3.
The shift came in 2025. By Q3, parcel lockers averaged €5.00 and parcel shops €5.11 - 10–13% lower than the prior holiday season. Home delivery also dipped to €7.30 from €7.91 in Q4 2024. This gradual decline suggests Danish webshops began competing more actively on delivery price or carriers pressed the prices further down.
Finland remains the most expensive Nordic market for delivery - especially for home delivery. In 2024, Finnish shoppers paid €12–13 for home delivery, nearly double Sweden’s average. Out-of-home methods were also high at €7+. Prices climbed steadily through 2024, with parcel shops up 12% by Q4.
In 2025, home delivery crept even higher, peaking at €12.90 in Q2. But by Q3, parcel locker and shop fees had fallen sharply - down about 10% from Q2, back to early-2024 levels. Home delivery stabilised around€12.50.
Norway experienced the most pronounced swings. In 2024, home delivery peaked at €10.08 in Q2, while parcel lockers (€8.21) and parcel shops (€9.16) hit highs in Q3. Interestingly, Q4 home delivery was lower than earlier in the year at €9.55.
By 2025, Norwegian webshops had cut prices heavily, especially for out-of-home delivery. Parcel lockers fell from over €8in late 2024 to €6.64 by Q3 2025- a 20% year-on-year drop. Parcel shop delivery followed a similar pattern, down about €1.20 on average versus Q4 2024. Home delivery also eased slightly to €9.25 by Q3.
The widening price gap between home and pickup options suggests a deliberate push to shift volume to more cost-efficient methods. For carriers, Norway highlights how quickly competitive conditions can change - and the need to adjust pricing strategies in real time.
To summarize the country trends, Table 1 highlights how delivery fees in Q3 2025 compare to the last peak season (Q42024). Most markets saw notable declines in that period, especially for out-of-home deliveries:
Data clearly shows that out-of-home delivery is significantly cheaper for consumers in urban areas – a natural effect when carriers can deliver 5–10 times more parcels per driver compared with home delivery.
Parcel box (locker) delivery
· Cheapest option across all markets by 2025(~€5–6.5).
· Prices spiked in 2024 (e.g. Norway €6.6 → €8.3)but dropped back sharply in 2025.
· Volatility suggests retailers test price sensitivity, then reset as competition kicks in.
Parcel shop(pickup point) delivery
· Typically a few cents above lockers, but fell notably in 2025.
· Norway: from ~€9 in 2024 to €7.2 by Q3 2025.
· Pricing gap with home delivery widened, creating strong incentives for consumers to choose pickup.
Home delivery
· Premium service, consistently the most expensive.
· Held steady through 2024–25: ~€7.5 in SE/DK,~€9.3 in NO, ~€12.5 in FI.
· Only small price drops, with Sweden (-13% YoY)the exception.
· Discounts remain rare and tied to high order values.
Out-of-home delivery became cheaper in 2025, while home delivery kept its premium. This reflects a conscious decision: steer demand towards lockers and pickup points to cut last-mile costs and ease peak-season pressure. Black Week 2024 showed the effect in practice - locker usage rose by four percentage points and delivery times improved as shoppers embraced flexible collection (source: ingrid.com).
For logistics providers and retailers, aggressive pricing on out-of-home delivery seems to become a core lever: it nudges cost-conscious consumers, reduces operational strain, while keeping satisfaction high. But the gap has limits - home delivery still anchors convenience expectations and remains a profit lever. The real challenge is balance: keeping lockers and pickups highly attractive without eroding the value or accessibility of home delivery.
Collaboration between retailers and logistics providers is key here, ensuring service levels meet expectations as more customers choose out-of-home - seen clearly during Black Week, when lockers not only gained share but also delivered faster on average (source: ingrid.com).
To keep the forecast transparent, we applied a simple model: for each country × delivery method, we took the Q4-over-Q3 seasonal change from 2024 and applied that ratio to Q3 2025 levels. Where 2025 trended lower than 2024, we also include a conservative midpoint between Q3 2025 and that baseline.
· Parcel box(lockers): €5.6–6.0
· Parcel shop(pickup): €6.1–6.3
· Home delivery: €9.0–9.2
Seasonal lift from Q3 to Q4 looks modest. Home delivery remains the premium option, while lockers and parcel shops stay clearly cheaper.
· Sweden: home ~€8.0 (flat vs last year); parcel shop ~€5.3 and lockers ~€5.0 (well below last year).
· Denmark: home ~€7.4; parcel shop ~€5.2; lockers ~€5.1 (all lower than last year).
· Finland: home ~€12.5 (still high); parcel shop ~€7.3; lockers ~€6.4 (both down year-on-year).
· Norway: home ~€9.25 (slightly below last year); parcel shop ~€7.1; lockers ~€6.7 (~20%down year-on-year).
Nordic delivery prices have eased through 2025 after peaking in late 2024, especially for out-of-home options (parcel box and parcel shop). Applying last year’s Q4-over-Q3 seasonality to current Q3 levels points to only small Q4 uplifts: lockers and pickups remain the low-cost choices, while home delivery stays premium and broadly flat.
Country patterns matter. Sweden and Denmark have lower 2025 bases and limited room for Q4 increases. Finland remains structurally high - especially on home delivery - so stability is more likely than hikes. Norway has corrected sharply this year, with retailers continuing to nudge volume toward cheaper lockers and pickups.
The underlying pricing strategies are clear:
· Continued shift to out-of-home delivery. Lower pricing here is deliberate - directing volume away from costly home delivery and easing last-mile strain.
· Home delivery as a premium anchor. Price cuts are modest; competition is about service quality (slots, ETAs, first-attempt success) rather than cents.
· Seasonal resets. After Christmas, prices ease in Q1—a cycle webshops use to stay competitive in slower months.
Finally, weigh this outlook against external factors that can quickly shift the picture: capacity constraints and consumer sentiment. If sentiment weakens, retailers may lean harder on thresholds and targeted incentives.
n commercial real estate, having the right insights can lead to valuable opportunities. Tembi's new report, "Netherlands Relocation Data & Predictions 2025," offers practical understanding and insights into upcoming shifts in the commercial real estate space.
Tembi’s AI-driven analytics blend market dynamics, employment patterns, and historical data to deliver accurate and reliable market forecasts.
Our analysis highlights 9,993 companies in the Netherlands likely to relocate during 2025, potentially affecting over 222,000 employees. Another 21,532 companies might also move offices within the next year, impacting nearly 700,000 employees.
Showing a clear understanding of local trends can enhance your credibility with clients. Our report details areas gaining or losing businesses, like Utrecht, Amsterdam-Duivendrecht, and Rotterdam. This information can help you deliver pitches that clearly match your clients' strategic interests.
Download the report today to stay informed about relocation trends, helping you anticipate market changes, uncover new opportunities, and stay ahead in your field.
Get the full report: Netherlands Relocation Data & Predictions 2025
Are you interested in getting more data and see how Tembi can you help you grow, talk to our sales team.
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.
