What is POS Data: Retail POS Data Analysis and Its Importance?

A retail point of sale (POS) system is the foundation of any retail operation. Since more and more buyers prefer retail stores to purchase products, retailers are gaining more data through different ways. Retailers can now use a multifunctional platform by swapping out their analog cash registers for POS terminals, which digitize the sales transaction process and produces retail point of sale data. According to one report, the global market of POS data is set to reach $130.91 billion by 2028. This growth has pushed the need to learn about POS data analysis.

Earlier, employees handled sales transactions on a screenless cash register before POS systems. However, with POS systems in place, retail business, especially the data collection and transaction section, has changed. This blog takes you through different aspects, answering what is POS data and the potential Point of sale data analytics to run a better retail business.

What is POS Data?

The retail POS data meaning revolves around the information gathered during a consumer sales transaction. Every customer purchase made in-store, online, or through mobile apps is managed by your point-of-sale system. You can use it to learn about product transactions, inventory, clients, and employees. Retailers using the software can create POS reports to make better business decisions.

After the consumer has made a payment, the POS system gathers a significant amount of raw transactional data. Payment data is not the same as this data. A bank is restricted to knowing the quantity and timing of a customer’s purchases; they are unaware of the specific things the consumer buys. With proper POS data analysis, the retailer gets complete data. This further helps in monitoring stock-keeping unit (SKU) data and learning about customer transactions.

Expert Tip

POS data analysis acts as the goldmine for retailers as they will have a clear picture of what customers are looking for, which product is fast-selling, and what draws customers. Retailers using the Ari POS system can manage product inventory using the right workforce and increase productivity.

How is Point of Sale Data Collected?

The scope of POS data collection expands beyond transaction capture when POS software is integrated with a payment system. POS software keeps track of various business data. It connects payment methods, product information, and customer contact details.

For instance, the Ari POS system offers a detailed report feature that helps with the purchase analysis report. Similarly, the system allows users to make payments through different options, including cards and cash. So once the payment is made, the system gathers user information that further helps in creating reports and running promotions.

Retail Point of Sale data is typically gathered in its raw form. The user has to keep the system updated to create clean and enhanced data.

Insights on the Types of POS Data

Retailers using the point of sales data analytics can help in getting different types of insights.

These types of retail pos software data can help you make business decisions:

1) Sales Report:

The core of POS data is sales data. The sales data report shows which products are lagging and which are flying off the shelves. Retailers can use the sales reports to know which product is fast/slow-selling, accounting, etc. Further, the report created through Point-of-sale data analytics helps you understand seasonal buying patterns, popular products, and the efficacy of marketing campaigns.

2) Customer Data:

Getting customer data is the most important feature of the POS system. Under this, the retailer receives information about the people who are purchasing your goods or services. Businesses may develop client loyalty, personalize purchasing experiences, and launch targeted marketing efforts by analyzing this data.

3) Geographical Data:

For a retailer, it is essential to know which location saw a good sale of the product. Moreover, the retailer gets to know the information about retail stores, store sizes, and individual POS checkout. For instance, if a purchase was made using a self-service POS system versus a checkout run by employees.

Retailers can use this information to determine where product purchases are made and how well sales are performed by location. Moreover, if a retailer is using a multi-store POS software to manage different outlets, he can assess location-specific statistics via his POS. Retailers can use this information to target marketing at the customer level for areas of the shop where customers would not typically visit or advertise goods in a specific section of the shop.

4) Time Data:

Time data provides the date and time of a purchase from the store. A specific time, such as morning or night, may be designated for the purchase of a particular commodity or at a specific season, like the holiday season.

Time data offers a history that you can review year after year. This information is crucial since it shows you when your items work best. Ari reports and POS analytics come with a seamless dashboard having timing reports. This will help in making further decisions.

Also Check: 7 Point of Sale Reports to Grow Your Sales

5) Coupon Data:

Many insights into your consumers’ behavior can be gleaned from the way they use coupons. Your POS system records data on your clients no matter how they use your coupons. This covers the coupon’s origin, its level of popularity, and the kind of customers who are most likely to utilize it.

Additionally, you may track whether coupons are improving basket size, encouraging repeat business, or having no effect at all using Point of Sale data. For the most accurate outcome, retailers can compare this to a control group that does not receive the coupon.

Create automated promotions with gift cards and coupons targeting product categories with Ari’s Promotional Management tool. Try Ari POS for FREE.

How Retailers Can Leverage the Benefits of Point-of-Sale Data Analytics?

Once the retailers know the retail POS software data meaning and its different components, taking the benefit of the same is the next step. By using the retail reports through POS data reports, retailers can look for ways of business growth.

Here are some ways:

1) Providing Personalized Services:

More than 70% of retail customers prefer personalized services that will bring them back. Point-of-sale data offers a wealth of first-party customer insights, ranging from the things they purchase to their average spending, favorite brands, and preferred shopping periods. Using individual purchase histories and buying patterns, you may segment your audience and provide a personalized shopping experience.

One of the ways is to offer promotional items. Like Ari, point-of-sale data provides insightful reports about products that do not show many sales. Using promotions management, retailers can offer discounts or gift cards on these products for faster sales.

2) Making Data-Driven Decisions:

Point-of-sale data enhances research methods like surveys and focus groups. It provides comprehensive business analytics that opens a window into consumer purchasing patterns, including the level of popularity of particular products and the perceptions that customers have of your brand. Additionally, it provides insights that enable you to assess the success of every action you do, from general brand strategy to particular campaigns and projects.

Utilizing consumer data increases a brand’s chances of outperforming rivals by 23 times. In terms of client loyalty indicators, they have a nine-fold increased probability of performing better.

Expert Tip

Reports like fast-selling and slow-selling inventory, best performing products, high-performing staff members, peak sales seasons, most effective promotions, etc. help retailers take data-driven decisions for their store. Moreover, you must align these retail data learnings with manually observed learnings that come from your staff members.

3) Proper Inventory Management:

For retailers, inventory management is essential to ensure consumers get what they are looking for. From stocking items to assembling and assigning parent categories, there are different ways to manage inventory. For instance, the Ari POS tool allows you to manage products according to categories as per the brand, name, and type. Once the data is ready, the retailer can keep stocks prepared according to the category bifurcation.

Expert Tip

Retail Experts constantly focus on assessing and re-assessing the inventory reports and putting them to action. That said, you must leverage your inventory reports to decide your product choices, flagship products, product placements, combo offers, upsell and cross-sell deals, etc. Thus, to improve sales and increase the average purchase value per customer.

Also Check: KPI for Retail Store Managers

How ARI POS Can Help You with Retail POS Data Analytics?

Since you are now aware of what is POS data and how POS analytics can help retailers manage stores easily, investing in the right POS tool is essential. Ari POS software can be an ideal choice for you as it offers you a wide list of retail reports.

These include:

• Sales Analysis Reports (Store-wise, Date-wise, Seasonal)
• Purchase Analytics Report
• Stock Movement Report (including Slow and Fast-selling Inventory Reports)
• Item Expiry Report (with Expiry Alerts)
• Detailed Daily Payment Reports
• Inventory and Stock Report
• Customer Loyalty Ledger
• Staff Productivity Report
• Tax Analytics Report

Moreover, Ari help you customize your retail reports and generate custom POS data on the go.

FAQs

1) Why is POS Data used in Retail?

Ans: Retail Point of Sale data helps with pre-sale inventory management, such as maintaining track of stock counts. It aids in benchmarking product performance during business hours. Following the sale, it offers a daily sales summary, a sales report broken down by product category and kind, and a sales report broken down by customer. B2B transaction data can be beneficial for companies in the B2B sector.

2) How can retailers use customer transaction data through POS Data Analysis?

Ans: Transaction data analysis provides retailers with trustworthy, actionable insights on consumer behavior. Brands can create dynamic consumer profiles by using transaction data, which reflects real consumer behavior. Brands can find new possibilities and optimize their operations by utilizing this information.

3) What information is collected through POS Data?

Ans: The information gathered during a consumer sales transaction is known as point-of-sale (POS) data. Every customer purchase made in-store, online, or through mobile apps is managed by your point-of-sale system. You can use it to learn about product transactions, inventory, clients, and employees.

4) How can POS data analytics help retail businesses?

Ans: Retail businesses can use point-of-sale / POS analytics to improve customer experiences, customize marketing campaigns, easy payment gateway, manage inventory more effectively, and eventually increase sales.