Best Point-of-Sale (POS) Datasets, Databases & APIs

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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

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

by PTV Group
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

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

by Royal Map
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

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

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

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

peekd POS dataset (real-time data on SKU- & basket-level, global coverage, GDPR-compliant)

by peekd
It delivers all relevant data points in digital commerce & covers >10% of global online sales for major ... consumer brands. peekd POS dataset lets you see online sales, price points, & much more across all brands
Available for 240 countries
6 years of historical data
Pricing available upon request
10% Datarade discount
Free sample available

DecaData- Orion- Video Game sales panel

by DecaData
[xxxx-xx-xx xx:xx:xx] - Date of Sale/Order and time of order COUNTRY [TEXT] - Country of order origin ... Through our retailer partnerships, we have a wealth of high resolution sales data capable of providing
Available for 114 countries
Pricing available upon request

Snapbizz Consumer Transaction Data of FMCG Products - POS Data India

by Snapbizz
All data direct from point of sale and is further broken down to 10 main market caps. ... “Collected From POS Transactions”.
Available for 1 countries
100K records
2 years of historical data
Pricing available upon request
Free sample available
4.9(4)

POI/ Point of Interest Data for all Businesses in Panama

by Techsalerator
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

Chain of Demand: Detailed e-commerce product data (US, EU, UAE and Asia markets)

by Chain of Demand
files, pdf reports, and direct data feeds via APIs. ... We provide raw and/or aggregated data, as well as calculated insights from multiple e-commerce platforms
Available for 2 countries
30K records
2 years of historical data
Pricing available upon request
Free sample available
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peekd
Based in Germany
peekd
peekd is one of the world's largest independent monitors of digital marketing and online sales. Our platform currently analyzes over $1 trillion GMV per year...
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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
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DecaData
Based in USA
DecaData
DecaData is uniquely positioned to provide a granular view into key changes in consumer behavior across an expanding universe of sectors. We currently have a...
Vumonic
Based in India
Vumonic
Vumonic is a market intelligence tool used by strategy, marketing, ecommerce & sales teams to understand consumer, competitive, and market behavior for goods...
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AOV
SLAs
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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
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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 2022

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

What is Point of Sale (POS) Data?

POS data refers to the information collected from a store’s payment system. This could be anything from data regarding repeat sales, time of sale, merchandise purchased and even geographic location and demographic data.

How is Point of Sale (POS) Data collected?

When a piece of POS software is attached to a payment system, the POS data collection can go beyond only sales transactions. The software tracks POS information anywhere from customer details to their payment methods and even inventory details - all valuable information for item and store level analytics. Many times the POS tracking system is integrated with other business software the company has to enable more complex analytics.

What is an example of POS Data collection?

Businesses buy POS data online that is relevant to the growth of their business, such as why a product is being bought by customers, place of purchase (which could be online or offline), and other necessary data points that could be taken advantage of to boost the business. It is of great benefit to a business to buy POS data because it helps them to know the most effective way to go about marketing campaigns. This data collection system can be achieved through the use of POS systems like Shopify, Lightspeed, Shopkeep, Magestore. These are all ecommerce platforms which help retailers to carry out their daily activities productively, and which often capture POS data in the process whenever a consumer makes a purchase.

What is a POS Data model?

A point of sale data model is a simple representation of a POS system. An example is the POS system that is used for billing in a store, which consists of both the hardware and software involved in the process. It tracks inventory levels, units sold, and money earned. POS datasets including all of these metrics are available to buy via a data marketplace. A POS data model is an effective system of tracking data, and is commonly used by retailers of all kinds including online stores.

Where is Point of Sale (POS) Data stored?

The data can either be stored on the provider’s database, which the client can access via an API, or delivered to you as a data dump.

What is POS Data capture?

A POS data capture system is a structure that consists of a display unit that shows the billing, a keyboard or touchscreen device which is used in the selection of products and to enter data, a barcode scanner for scanning goods that are billed, a cash register for the effective storage of money obtained in the process, and a software interface that completes the whole process and stores the POS data.

What is Point of Sale (POS) Data Analysis?

POS data analysis refers to the monitoring of the POS transaction data collected from a store’s payment systems. It can help retailers, investors, and suppliers understand both item and store level sales performance.

Data collected is usually in large quantities in a commercial data set and is not so useful because it is in its raw form. The raw data has to be funnelled into its various sub-categories. For POS data, this could be the SKU of the product purchased, or the consumer’s payment method. This is the point where organization is done and important and specific data is pulled up. The endpoint is the maximum utility of the data compiled. POS data in its finished form helps in the tracking of stock counts, discovering product performance, a summary of sales, sales report per product and type of product, and sales report per customer. This data helps the owner of a business understand its customers better, coupled with helping in the determination of the most effective way to go about marketing campaigns.

How do you analyze POS Data?

One way of analyzing POS data is through inventory analysis. This helps in showing how successfully a product sells, thus helping in the calculation of the forecasting product number. Sales trend analysis is also a form of POS data analysis that is aimed at discovering products that are either decreasing or increasing in sales. Finding out insights on the reasons for refund, exchanges, and returns is also an efficient data analysis method to gauge consumer sentiment and purchase intent patterns. Customer insights include collecting valuable information about customers like names, addresses, phone numbers, email, and previous purchases. These can be used in connection with POS data to analyze whether there’s a correlation between consumer location or demographic, and the sales performance of specific products.

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, the time they were bought, payment system used etc. 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 the printing of the receipts which show the names of the products and their prices. Then, return receipts should be entered in cases where a customer decides to return a product. Other important steps are printing return receipts, printing a revenue journal that shows all transactions done during the day, and then backing up the data. The final step of the flow diagram should show when the transaction has successfully been closed.

How do supermarkets and retailers use POS Data?

The use of POS has become very important in most supermarkets and retail stores. They use it to make checking out and purchasing processes faster by scanning and counting products in the customer’s basket digitally, capture customer’s details like name, email and others, and use this information to refine marketing and advertising campaigns.

They also use it to manage inventory by identifying how many units of each product has been sold, so that they’re aware when stock is low and know when to restock. In general POS data enables supermarkets and retailers to streamline their business operations and increase profit via stronger sales: it makes their processes flexible for them and improves the shopping, and payment experience for their customers as well.

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, DDS Points of Sale database Germany | POS data (retail, banking and insurance, etc.) by PTV Group, and ATM Automated Teller Machines and POS Point of Sale Terminals Data for Republic of Moldova by Royal Map.

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)