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Best POS Data: Point of Sale Databases & Datasets

What is Point-of-Sale (POS) Data?

POS (Point-of-Sale) data relates to information collected from stores' sales systems. It’s mostly used by retailers, restaurants, and investors e.g. in item level sales analytics and store performance monitoring. Datarade helps you find the right POS data providers and datasets.Learn more

Recommended Point-of-Sale (POS) Data Products

25 Results

QueXopa's Point of Sale (POS) Transaction Data - South Korea

by QueXopa
Full visibility of major CPG brands and FMCG product categories. ... Granular and unique consumer spend data in South Korea Actively growing brand and product coverage
Available for 1 countries
20 % Coverage of the Convinence Store Market in South Korea
3 years of historical data
Pricing available upon request
Start icon4.9(5)

POI/ Point of Interest Data for all Businesses in Panama

We cover all POI’s (Point of Interest) of businesses in Panama. ... of Interest) of businesses in Panama.
Available for 1 countries
22K records
5 years of historical data
99% accuracy
Pricing available upon request

DDS Points of Sale database Germany | POS data (retail, banking and insurance, etc.)

PoS (point of sale) refers to the location a sale takes place; from the consumer’s perspective it is ... Points of Sale (PoS) are a fixed part of numerous applications both in marketing and in location planning
Available for 1 countries
330K records
5 years of historical data
Available Pricing:
One-off purchase
Yearly License
Free sample available

Snapbizz Consumer Transaction Data of FMCG Products - POS Data India

purchased in a bill, Unit of measurement of the product All data direct from point of sale and is further ... “Collected From POS Transactions”.
Available for 1 countries
400M records
4 years of historical data
100% real time data
Starts at
$5,000 / month
Free sample preview
Free sample available

ATM Automated Teller Machines and POS Point of Sale Terminals Data for Republic of Moldova

ATM Automated Teller Machines and POS Point of Sale Terminals data includes locations and attributive ... Royal Map’s ATM Automated Teller Machines and POS Point of Sale Terminals dataset contains data about
Available for 1 countries
3.5K Points of Interest
4 years of historical data
80% location precision
Available Pricing:
One-off purchase
Yearly License
Usage-based
Free sample available

South Korea Point of Sale (POS) Transactions Data | Total Sales Revenues by Region | 39 Equities (Tickers)

by QueXopa
50k row sample of Spain Receipts with lists of Top 100 Brands and Top 100 Merchants 50k row sample of ... lists of Top 100 Brands and Top 100 Merchants50k row sample of Spain Receipts with lists of Top 100
Available for 1 countries
5 years of historical data
Pricing available upon request

China & Korea: eCommerce & PoS (Point of Sales) Data for Market Intelligence (Monitoring, Analysis, Analytics) & Marketing

by A2A
eCommerce & PoS (Point of Sales) Data for Market Intelligence (Monitoring, Analysis, Analytics) as well ... as Marketing Purpose from China and Korea are provided. eCommerce & PoS (Point of Sales) Data for Market
Available for 2 countries
Pricing available upon request

eCommerce and PoS (Point of Sales) Data China & Korea - to do Market Intelligence (Analysis, Analytics, Monitoring,) & Marketing

by X-Byte
China and Korea: eCommerce and PoS (Point of Sales) Data to do Market Intelligence (Analysis, Analytics ... , Monitoring,) & Marketing PoS (Point of Sales) and e-commerce data to do Market Intelligence (Analysis
Available for 3 countries
100 mm
Pricing available upon request
Free sample available

Inflation Tracker- DecaData CPI- Food at Home

Utilizing our Odyssey retail grocery point of sale data, our Data Science team has built a product that ... The DecaData CPI tracker utilizes granular POS data daily to build a view into what we anticipate the
Available for 1 countries
Starts at
$2,500 / month

Quadrant Point-of-Interest (POI) Data - POI Data USA with custom, on-demand attributes

This method of data collection also steers clear of infringement on users’ privacy and sale of their ... USE CASES The main goal of POI data is to identify a place of interest, establish its accurate location
Available for 1 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based

More Point-of-Sale (POS) Data Products

Discover related point-of-sale (pos) data products.
400M records
100% real time data
India covered
"Collected From POS Transactions". The Data includes all the details of the product transaction, i.e, price, quantity, discount etc,.
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
1B billions of email receipts
6 countries covered
Daily or weekly data feed of all relevant data in raw form delivered via AWS S3 bucket.
2 countries covered
eCommerce & PoS (Point of Sales) Data for Market Intelligence (Monitoring, Analysis, Analytics) as well as Marketing Purpose from China and Korea are provided.
USA covered
DecaData Monthly CPI - Food at Home tracker. Utilizing our Odyssey retail grocery point of sale data, our Data Science team has built a product that provides...
South Korea covered
5 years of historical data
50k row sample of Spain Receipts with lists of Top 100 Brands and Top 100 Merchants
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
249 countries covered
Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, ...
datarade.ai - QueXopa profile banner
QueXopa
Based in Panama
QueXopa
QueXopa® is an Alternative Data provider that finds, sources and aggregates the data that fuels decision makers in all areas of government, finance and indus...
LatAm
Access to Emerging Markets
100%
GDPR, LGPD Compliant
+3 Million
Users in Brazil & Mexico
datarade.ai - PTV Group profile banner
PTV Group
Based in Germany
PTV Group
• Spatial Data • Cloud Services • Software & Tools • Consulting
Coverage
Worldwide
Consulting
Independent
Licensing
flexible
A2A
Based in Germany
A2A
Data is needed to decide. Analytics based on data leads to decisive arbitrage in your business!
datarade.ai - Royal Map profile banner
Royal Map
Based in Moldova
Royal Map
Royal Map helps companies and individuals to implement GIS projects and increase their services with qualitative and up-to-date geospatial services/data and ...
datarade.ai - Techsalerator profile banner
Techsalerator
Based in USA
Techsalerator
Techsalerator is a global B2B and B2C data provider based out of South Florida. We cover 219 countries of B2B data with deep firmographic , POI's and contact...
CCPA&GDPR
Compliant
Worldwide
B2B and B2C Data
270 M
POI Locations
datarade.ai - Chain of Demand profile banner
Chain of Demand
Based in Hong Kong
Chain of Demand
Chain of Demand provides retail industry data spanning across the US, China and the European market. With three years of data available, we use our proprieta...
100M+
data points
168x
faster to analyze data
1%
variance in revenue prediction

The Ultimate Guide to Point-of-Sale (POS) Data 2023

Learn about point-of-sale (pos) data analytics, sources, and collection.

# What is POS Data?
POS data refers to the information collected from a store’s payment system. POS data can include time and frequency attributes, such as repeat sales and time of sale. It can also be data relating to products. For example, the kind of merchandise purchased and SKU of the product. Lastly, POS data includes the consumer’s payment method, for example debit card, cash, or PayPal. POS datasets are often enriched with store location data and consumer demographic data.

How is Point of Sale (POS) Data collected?

With POS software attached to a payment system, POS data collection can go beyond capturing transactions. POS software tracks a range of commercial information. It links customer contact details to payment methods, as well as to product data.

For example, when a consumer purchase a product, the POS software can update the retailer’s inventory details. This product, consumer and transaction data is valuable information for item and store level analytics. Often the POS tracking system is integrated with the retailer’s other business software. This enables the company to perform more complex analytics into consumer spending.

POS data is usually collected in large quantities in its raw form. The raw data undergoes cleaning and enrichment to form more actionable, commercial datasets.

What is an example of POS Data collection?

The best source of point of sale data is the POS machine that used for billing a customer in a store, usually a card reader. The device facilitating the transaction tracks inventory levels, units sold, and revenue earned. POS data providers form datasets with data collected from card readers. External datasets including these metrics are available to buy via a data marketplace.

Point of sale data collection is also evolving. As more supermarkets allow customers to scan as they shop, merchants count products in the customer’s basket as they go, not just at the checkout. The scanning devices can also register when a customer scans an item only to return it to the shelf. This enables supermarket managers to understand buyer behavior and hesitancy towards products.

Retailers buy retail POS data online that is relevant to the growth of their business. For example, a POS dataset can tell a merchant the place of purchase (which could be online or offline). In this instance, they can see which store locations are driving the most sales.

Automated POS data collection tools systems include Shopify, Lightspeed, Shopkeep, Magestore. These ecommerce platforms enable retailers to sell products via online sales channels. Whenever a consumer makes a purchase, these ecommerce platforms capture and collect POS data in the process.

What is a POS Data model?

A point of sale data model is a simple visual representation of a POS database. At a basic level, the model will include the consumer, the merchant, and the goods or service purchased. They’re used by retailers of all kinds, including online stores, to visualize POS interactions.

Where is Point of Sale (POS) Data stored?

POS data is stored in the databank and transaction history of the seller. External POS data vendors then store these datasets in secure data warehouses. Once you buy POS data, you can access it via an API, or it’s delivered to you as a data dump. To check that you’re getting high-quality data, it’s good to ask for a POS database example. Using this example dataset, you can sample and test the information to check it works for your project.

What is Point of Sale (POS) Data Analysis?

POS data analysis involves monitoring POS transaction data and deriving insights from it. POS data analytics vary according to your use case. In general, analyzing POS data helps retailers and suppliers understand both product and store level sales.

How do you analyze POS Data?

One way of analyzing POS data is through inventory analysis. This helps in showing how well a product sells, thus helping in the calculation of the forecasting product number. Sales trend analysis is also a form of POS data analysis. Sales trend analysis involves discovering products whose sales are decreasing or increasing.

You can also analyze POS data to build customer segments and contact lists. At the point of sales, merchants get valuable information about customers. Customer data points can include names, addresses, phone numbers, email, and previous purchases. You can then analyze POS data to identify correlation between consumer and sales performance. For example, whether a consumer from a particular location or demographic is more likely to buy specific products. From here, you can map purchase intent patterns.

Point of sale data goes beyond the moment when the consumer buys the product. In many instances, it extends to when the product is returned. It’s important to get insights on the reasons for refunds and exchanges. In this sense, analysing POS data often means analyzing consumer sentiment.

How is a POS Database structured?

The POS system is supposed to provide more than an easy way to process payments for retailers. Structured in the right way, it can reveal insights about consumer purchase behavior.

A POS database is structured to give you sufficient details of each transaction in order form proper data that can be analyzed. It’ll typically include the SKUs of the products bought, time, and payment system. With a POS database, businesses can also monitor how each product is selling and when it is time to re-stock based on real-time updates.

How to create a POS flow diagram?

The first step to take is to enter receipts that show when a transaction started. The next step is ensuring these receipts show the names of the products and their prices. Then, the flow diagram should show return receipts in cases where a customer returns a product.

Once created, you should update the flow diagram with transactions done during a given period. The final step of the flow diagram should show when the transaction is successfully closed. As always, backing up the data is essential.

What is POS Data used for?

POS data helps pre-sale management of inventory, for example keeping track of stock counts. During trade hours, it helps benchmark product performance. Post-sale, it provides a summary of daily sales, sales report per product and type of product, and sales report per customer.

Can I analyze Customer Data with a POS?

You can capture a range of data points relating to a customer at the point-of-sale. For example, if they pay electronically, you’re able to collect details shared by the payment service e.g. PayPal.

You’re also able to build customer profiles of recurrent buyers. If your POS signals that someone buys from you often, you can track their purchase behavior. For example, how often they visit, what products they buy, and how they pay. This provides a richer customer understanding for your targeting and strategies.

How do supermarkets and retailers use POS Data?

The use of POS has become very important in most supermarkets and retail stores. On a proprietary level, retailers use POS data to make purchasing processes faster. Based on POS data, store managers can instal the most popular payment methods.

A more advanced application of POS data is to capture customer contact details. For example, name, email and phone. This B2C contact data is helpful for refining marketing and advertising campaigns.

There are also marketing-specific applications of POS data. For B2C businesses, POS data helps decide on the most effective way to go about marketing campaigns. If there’s a particular price point which drives sales, marketers can adjust product prices to ensure more customers.

Shop owners also use retail POS data to manage inventory. A point of sale dataset will tell them how many units of each product has been sold. This way, they can monitor when stock is low and know when to restock.

In general POS data enables supermarkets and retailers to streamline their business operations. It makes their processes and strategies more data-drive and accurate. Most importantly, it allows them to increase profit via stronger sales. POS data improves the shopping and payment experience for their customers as well.

What is POS Data management?

POS data management requires you to update and refresh you data regularly. It also means you have to store your POS dataset securely because it’ll often contain sensitive customer and financial data.

Where can I buy Point-of-Sale (POS) Data?

Data providers and vendors listed on Datarade sell Point-of-Sale (POS) Data products and samples. Popular Point-of-Sale (POS) Data products and datasets available on our platform are QueXopa’s Point of Sale (POS) Transaction Data - South Korea by QueXopa, POI/ Point of Interest Data for all Businesses in Panama by Techsalerator, and DDS Points of Sale database Germany | POS data (retail, banking and insurance, etc.) by PTV Group.

How can I get Point-of-Sale (POS) Data?

You can get Point-of-Sale (POS) Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Point-of-Sale (POS) Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Point-of-Sale (POS) Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Point-of-Sale (POS) Data?

Point-of-Sale (POS) Data is similar to Credit Card Transaction Data, Loyalty Card Data, Consumer Transaction Data, Debit Card Transaction Data, and Bank Transaction Data. These data categories are commonly used for Retail and Purchase Intelligence.

What are the most common use cases for Point-of-Sale (POS) Data?

The top use cases for Point-of-Sale (POS) Data are Retail, Purchase Intelligence, and Consumer Trend Analysis.

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Datos de puntos de venta (ES)