4 Ways Retail Analytics Will Help Your Business Grow in 2019
The retail industry has grown steadily over the past few years owing to the popularity of online shopping. But with the rapid growth, the retail businesses face serious challenges such as improving customer experiences, maintaining an online presence, keeping pace with consumer demands, staying ahead of rivals in the competitive landscape, and integrating technologies to drive marketing and profit. Even top retail businesses face hurdles such as staying up-to-date with social media trends.
If customers are not served with a seamless experience that can be one of the most critical factors behind the unsuccessful retail business. Therefore, companies in the retail sector must analyze retail market trends and leverage retail data analysis to improve their pricing strategies and sales and demand forecasting methods. This is where retail analytics comes into the picture. Retail analytics solutions can help companies in devising the most profitable sales strategies and optimizing sales force for creating maximum business value.
At Quantzig, we understand the impact that retail analytics can have on your business. And to help companies excel in the fiercely competitive environment, our team of experts has highlighted five key ways in which retail analytics solutions can help businesses in developing successful cross-channel and multi-channel retail strategies and obtain actionable insights into customer demands and preferences. But before putting down the benefits of retail analytics solutions, let’s understand a bit more about retail analytics first.
What is Retail Analytics?
Retail analytics is the process that provides detailed insights into inventory, sales, customers buying pattern, and other crucial aspects that retail companies need to watch in the decision making process. It takes into account several granular fields to create a broad picture of the health of a retail business.
Furthermore, retail analysis goes beyond superficial data analysis by utilizing techniques like data discovery and data mining and sanitizes datasets to provide actionable insights that can be applied in the short term.
Moreover, retail companies can use retail analytics to create better snapshots of their target demographics. By harnessing retail data analysis, retailers can easily identify their potential customers according to diverse categories such as buying patterns, age, preferences, location, and more.
Benefits of Retail Analytics
Benefit #1: Enhances store performance
Retail analytics can help retailers understand and analyze in-store customer behaviors. Additionally, retail analytics help retail businesses in tracing their dwelling times and shopping patterns. Furthermore, this unveils immense opportunities for all kinds of retail operations, right from individual stores to shopping malls. Also, by analyzing retail sales trends, retailers can analyze the most appealing design techniques, the best staffing options, and the most effective selling tactics.
Benefit #2: Improves business decision making
Retail analytics become a source that can help in optimizing AI models. These models enable retailers to feed the knowledge to any transactional application including POS, e-commerce, CRM, workforce management, buying and planning and prevention of loss. Additionally, retail analytics help retail companies to dive deeper into the customer data to make informed decisions. Furthermore, by utilizing retail analytics solutions, retailers can make smarter pricing decisions through alerting and price monitoring. This enables them to sell the right product at the right price. Thus, retail analytics offers easy-to-understand retail business insights at the most granular level possible which in turn help retail professionals to gain the best outcome and improved ROI from their retail business.
Benefit #3: Optimizes customer experience
The recent research data shows that 65% of marketers have found that improving their data analysis plays a very crucial role in delivering a better customer experience. Retail analytics can be used to improve the shopping experience by solving customer problems in real time. Also, it can enable companies to avoid out-of-stock situations. Furthermore, this can ensure the availability of enough merchandise to meet the customers’ demand. Moreover, by analyzing the purchasing behavior of the customers, retailers can fulfill their needs by offering the products in demand at the most appropriate time.
Benefit #4: Provides better insights into customer behavior
This is one of the most essential benefits of leveraging retail analytics that they offer actionable and tangible insights into the behavior of customers. It is quite easy to apprehend that managing any aspect of business becomes a lot easier if one knows to estimate the return on investment. From analyzing the social responses to gauging the impact of a campaign on the store’s conversion rates to a product, retail analytics offer the most accurate picture to retailers of what works for them and what doesn’t. This leads to better sales effectiveness and improved ROI.
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