dataplace.ai

Name: dataplace.ai
Address: Aleja Solidarności, Warsaw, 00-040, PL
Telephone: +48881655966

Strona główna
Polska
Warsaw
dataplace.ai

With the help of dataplace.ai products, you will acknowledge consumers behavior and determine sales For whom is dataplace.ai? Dla kogo jest dataplace.ai?

[EN/PL]

Using data from dozens of sources, Dataplace.ai applies the latest AI technology, as well as location intelligence methodology and big data analytics, generating accurate location analyses and predicting potential sales at a specific address, thanks to terabytes of spatial data. By learning information such as:

➡where your competitors are located,
➡how many potential customers your busin

ess has in a given location and what their characteristics are.
➡what are the specifics of the analysed place, where is it worth opening a company, a branch of a shop, another point of sale
➡what investments are planned in the nearest area. You will be able to find an ideal location for new shops or increase sales in existing shops in a very simple way with dataplace.ai! Location is the key to your success, we will help you to choose it. placeme ➡ focuses its activities on a broad location analysis, supporting expansion departments or headquarters. monitoring ➡ is addressed to headquarters and management departments. With its help it is possible, among other things, to monitor the entire sales network and the activities of the competition and the rapidly changing market,

target ➡ this tool supports trade marketers and sales departments in such activities as directing sales representatives to shops or product/POSM activation. persona ➡ is designed for marketing departments. Find out where you can find matching target groups and how to reach them effectively. Improve communication with target groups and monitor consumer trends in real time

source ➡ is a unique product aimed at IT/analytical departments. Customers can equip their systems and applications with unique spatial data, gaining better market insights.

________

Dataplace.ai wykorzystując dane z dziesiątek źródeł, stosując najnowszą technologię AI, a także metodologię location intelligence i analitykę big data, generując dokładne analizy lokalizacyjne i przewidując potencjalną sprzedaż pod konkretnym adresem, dzięki terabajtom danych przestrzennych. Poprzez poznanie informacji, takich jak:

➡gdzie znajduje się Twoja konkurencja,
➡ilu potencjalnych klientów w danej lokalizacji ma Twój biznes i jakie są ich cechy.
➡jaka jest specyfika analizowanego miejsca, gdzie warto otworzyć firmę, oddział sklepu, kolejny punkt sprzedaży
➡jakie inwestycje są planowane w najbliższej okolicy. Będziesz w stanie z dataplace.ai znaleźć idealną lokalizację dla nowych sklepów lub zwiększyć sprzedaży w już istniejących w bardzo prosty sposób! Lokalizacja jest kluczem do Twojego sukcesu, pomożemy Ci ją wybrać. placeme ➡ koncentruje swoje działania na szerokiej analizie lokalizacji, wspierając działy ekspansji lub centralę. monitoring ➡ skierowany jest do centrali, oraz działów zarządzania. Z jego pomocą możliwe jest m.in. monitorowanie całej sieci sprzedaży oraz działań konkurencji i szybko zmieniającego się rynku,

target ➡ narzędzie to wspiera trade marketerów i działy sprzedaży w takich działaniach, jak kierowanie przedstawicieli handlowych do sklepów czy aktywacja produktu/POSM. persona ➡ przeznaczona jest głównie dla działów marketingu. Dowiedz się, gdzie możesz znaleźć pasujące grupy docelowe i jak do nich skutecznie dotrzeć. Popraw komunikację z grupami docelowymi i monitoruj trendy konsumenckie w czasie rzeczywistym

source ➡ to unikalny produkt skierowany do działów IT/analitycznych. Klienci mogą wyposażyć swoje systemy i aplikacje w unikalne dane przestrzenne, zyskując lepszy wgląd w sytuację na rynku.

27/11/2025

"Transformacja cyfrowa nie dotyczy tylko e-commerce. Dzięki dataplace.ai wprowadziliśmy ją także do procesu ekspansji sieci franczyzowej, zamieniając intuicję na precyzyjne analizy oparte na rzeczywistych zachowaniach konsumentów.” - Radosław Damasiewicz, CEO Travelplanet.pl

Travelplanet.pl dołączyło do liderów rynku, dla których podejście data-driven to podstawa efektywnego rozwoju sieci. 🚀

Wdrożenie rozwiązań, które tworzymy w dataplace.ai w oparciu o technologię location intelligence i machine learning, przyniosło już konkretne rezultaty:

💡 Standaryzacja procesu analizy nowych lokalizacji
💡 Redukcja czasu oceny potencjału punktu sprzedaży
💡 Minimalizacja ryzyka inwestycyjnego dla franczyzobiorców
💡 Odkrycie perspektywicznych lokalizacji niewidocznych przy tradycyjnym podejściu

"Dzięki współpracy z dataplace.ai możemy teraz z pewnością powiedzieć naszym franczyzobiorcom: 'Ta lokalizacja ma udowodniony potencjał biznesowy, a oto dane, które to potwierdzają'. To fundamentalnie zmienia rozmowy z potencjalnymi partnerami, jak i z obecnymi, którzy chcą się rozwijać i otwierać kolejne salony pod marką Travelplanet." – Grzegorz Chabior, Dyrektor Działu Franczyz w Travelplanet.pl

Chcesz dowiedzieć się jak efektywnie rozwijać ekspansję w oparciu o analizy lokalizacyjne? 🔎

Przeczytaj pełne case study ➡️ https://dataplace.ai/pl/success-stories/ekspansja-travelplanet/

25/11/2025

Jak w nasyconym kanale HoReCa podejmować decyzje inwestycyjne, które konsekwentnie budują przewagę rynkową? To strategiczne wyzwanie, przed którym stanął nasz partner, Grupa Żywiec, zarządzając siecią dystrybucji w 9 000 lokalach w całej Polsce.🎯

Tradycyjne modele oceny, oparte na wewnętrznych danych i subiektywnych ocenach, nie oddają już pełni potencjału. Naszą rolą było dostarczenie twardych danych z zewnątrz, które pokazują, co naprawdę dzieje się wokół każdego punktu.

W ramach naszego rozwiązania Source, zasililiśmy trójfilarowy model scoringowy Grupa Żywiec precyzyjnym zestawem danych geoprzestrzennych, w tym:

➡️ Średnim dziennym natężeniem ruchu pieszego i jego dynamiką.
➡️ Wskaźnikiem osób zatrzymujących się w bezpośredniej okolicy.
➡️ Cyfrową reputacją lokalu (ocenami i liczbą opinii Google).

Efekt? Teraz każda decyzja o inwestycji czy działaniach trade marketingowych opiera się na obiektywnym, ustandaryzowanym scoringu. To doskonały przykład, jak analityka geoprzestrzenna staje się kluczowym elementem strategii w branży FMCG.

Jesteśmy dumni, że możemy być partnerem w tak strategicznym projekcie. Gratulacje dla całego zespołu Grupa Żywiec za odważne, innowacyjne podejście! 🚀

Chcesz dowiedzieć się więcej? Poznaj pełne case study ➡️
https://dataplace.ai/pl/success-stories/zywiec-segmentacja-punktow-gastronomicznych/

28/04/2022

Dataplace.ai on Snowflake.com Marketplace! ❄️ 🗂️

We are happy to inform that our datasets are now available on the Snowflake Marketplace.
This is an easy and optimal way of acquiring the data you need to optimize your business.
Our listings are fully personalized in order to guarantee the best quality and value of datasets and are available for 28 European markets. 🌍

What are the listings?
- Socio-economic location profile
- Traffic Structure and Dynamics
- Behavioral Customer Segmentation

Each of them will give you insights on different elements defining your business success and can be used in response to different business needs such as foot traffic analysis, location planning or advertising optimization.

Check out one of our listings here: https://lnkd.in/d5GtbjBG

Dataplace.ai is proud to be a part of Snowflake and of the global data sharing community!

Stay tuned! 🎉

13/04/2022

⚽ Sports Direct is planning to take over the GO Sport Polska chain. We've checked whether the company will be able to benefit from the potential of all the locations. A few shops don't seem like a very certain business move. 🧐

GO Sport manages a network of 26 stationary retail shops in Poland. Not all their locations seem to be a good choice to join the group of 13 Sports Direct shops on the Polish market. 🔍

➡ In Wrocław, the two shops of these brands are only 400 m apart! Therefore, converting a shop into a Sports Direct branch could be problematic, as it would most likely lead to cannibalisation.

➡ Dataplace's analysis shows that 78% of people who visit Sports Direct in Wroclaw also visit GO Sport, but only 54% of people who visit GO Sport also go to Sports Direct. This means that more people in this particular area prefer Go Sport as a shopping destination.

➡ The less than ideal sign is the information that just 550 m away is another competitor – Decathlon.

➡ Within a radius of 500 m from the shops there are less than 40,000 people per day. Such a close location of three sports shops can be challenging in terms of attracting enough customers. In addition, it is worth noting that the area is a shopping centre, so there is a range of different shops that attract the vast majority of this traffic.

💡There are numerous of great locations in the pot that could strengthen Sports Direct's position in the Polish market. However, it is always worth looking at individual outlets as there may be some rotten apples among them.

31/03/2022

How easy is it to estimate the number of customers your point of sale will attract? 👥 🔍

Several seconds! Our web app calculate customer attraction forecast and shows what percentage of them will choose a particular POS. 💰

Only 3 simple steps keep you from this knowledge.

1️⃣ Specify the catchment area you want to analyse. It means the distance from which clients can come to visit your POS, for instance: 2 km by bike, 10 minutes on foot, 5 minutes by car etc.

2️⃣ Choose which category of POS out of the 8 available is your competition – grocery stores, pharmacies or maybe restaurants?

3️⃣ Click the button „Apply” and our app will prepare ready-made analyses for your business.

Click on the link and register to our app and use this option for free!
👉 https://lnkd.in/e3-Xxb9N

The model is based on the following factors, among others:

💡 Number of residents registered in the analysed area
💡 The presence of competitive points
💡 Distance from the place of residence to the point of sale and service

Be aware what number of residents might choose a particular location as a place of purchase.

22/03/2022

Optimise the sales network to improve your business efforts. 🚚 🏪

When creating a sales network to distribute your products, it's a good idea to make it as diverse as possible. However, it should not be forgotten that for a product to be sold, it must reach the right target group.

Correctly conducted shopper segmentation ensures optimal sales activities such as building an effective sales network, which leads to lower costs and higher revenues.

How to find the target group for your product and, at the same time, choose the right point of sale from thousands of shops and facilities? 🛍

Use the power of location data and identify where your customers shop and where they spend their time. With dataplace.ai you can understand:

🔍 What type of customers shop at specific points

🔍 Whether and in what percentage they belong to your target group

🔍 How many of them will appear in the shop where you want to place your product, and how many of them will appear in your competitors' shops.

➡ Check out our new post on how to optimise the sales network ⬅

EN: https://dataplace.ai/en-pl/blog/how-to-optimise-sales-network

PL: https://dataplace.ai/pl/blog/jak-zoptymalizowac-siec-sprzedazy

09/03/2022

Another puzzle added – see what's new in dataplace! 🧩

As promised, we are still working on our app by adding more improvements and data. The latest release includes:

➡ BIKE RANGE 🚴‍♂️
It is already the option to mark the access area for cars and pedestrians in the app. From now on, bike range is also an available method!

With different catchment routing, users can examine a specific point on the map in terms of its pre-defined surrounding area.

➡ INTERNATIONAL DATA 🌍
At this point of app development, it is possible to analyse any real point in the European Union. We provide analyses of:

👉 ;
👉 profile;
👉 ;
👉 population receipt ( ).

Each of these analyses provides important information about the location itself and people residing around the study area. A full understanding of the profile of the population allows answering questions such as:

💡 How many households are there in the area?
💡 What is the demographic profile of the residents?
💡 What do the residents of the area spend their money on?
💡 What are the earnings of the residents of the area?

In addition, for Portugal and the Czech Republic it is already possible to analyse grocery shopping outlets in the neighbourhood.

Test and use the app for free! You can find the registration link in the comments.

17/02/2022

DM drugstore enters Poland! We checked if their first location was surely a wise choice! 🎯

German drugstore chain dm-drogerie markt Deutschland is launching first outlet on the Polish market. Its first store will appear in Galaktyka Park shopping center in . DM targets people who appreciate affordable prices and a wide range of products. What are the key features of this area? Will the company find a target group? 🤔

Our analyses have shown that around 76,000 people pass by the building every day, but only 31% of them are permanent residents within a 10-minute walk from the shopping center. 🏘

The demographic profile shows that elderly people (above 65 y.o) represent 25.5% of the population, but the average age is 37 years. Women make up 58.4% of residents compared to 41.6% of men.

Expenditure on the items offered in the DM product range amounts to: Hygiene and Beauty 123 PLN (27 Euro) per capita and a total of 444 692 PLN per month (98 785 Euro). For products needed to maintain the home, the average resident spends 64 PLN per month (14 Euro), which amounts to 230 740 (51 257 Euro).💸 💸

Average earnings within 10-min walk from the Galaktyka Park is 3 760,11PLN netto (834,80 Euro). 84.8% city residents on average earn less than residents in the analysed location. 💰💰

According to analyses, within a 10-minute walking distance the DM will not have direct competition, which will certainly have a positive impact on customer capture and revenue.

It looks like DM has done their homework and analysed the location.

With our web app you can assess the potential of any location in terms of:
👉 How many people a day show up in front of any given point, and what percentage of them are locals versus visitors.
👉 Demographic profile of the area.
👉 How much do residents earn? How wealthy are they?
👉 What does the residents' receipt look like? What do they spend their money on?
👉 Shared traffic scan. How is the traffic shared between the different points?
👉 Distance and travel time. Is this point well-connected?
👉 What are planned or ongoing investments in the area?
👉 Popular hours. How is traffic distributed throughout the day?
👉 How is traffic distributed throughout the year? What are the characteristics of the traffic in the area?
👉 Where is the peak traffic in this area?
👉 Population Density. Heatmap visualizing the places with the largest population in the analysis area.

🔴 If you also want to start analyzing any location, try dataplace for a free trial now!

14/02/2022

With the new week comes a 🆕 feature in dataplace ‼ 🎊

From now on, you can the in the area by checking what kind of trade and services are in the neighbourhood.

Here are some possible use cases:

🎯 Discover micro-areas where you have a chance to compete for customers.

🎯 Check the number of competitors in the neighbourhood – it may not be worth entering a highly competitive market.

🎯 Target your marketing efforts effectively.

See how it works ➡ https://lnkd.in/e3-Xxb9N

💡💡💡 By combining this analysis with the "shared traffic scan" function, you can easily find out how traffic is distributed between you and your competitors.

08/02/2022

Sales forecast – the feature you need to make expansion easier. 💥

When planning to launch a new outlet, it is important to find the best location. It is not just the level of traffic in the area or the number of competitors that matters. It is significant to be able to estimate the revenue of the new outlet. 💡

With sales and demand forecasts, you will be able to assess whether the place has potential. The location analysis scheme looks for similarities in characteristics to the best performing points. Location affects each point differently, so identifying aspects of its success or failure is key.

Evaluate traffic and revenue even before you set up your business, thus reducing risk.

See how predictive analytics helps forecast the sales – https://dataplace.ai/blog/role-of-predictive-analytics-in-sales-forecasting

Adres

Aleja Solidarności
Warsaw
00-040

Telefon

+48881655966

Strona Internetowa

https://dataplace.ai/

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