Predictive Analytics and Retail

Predictive analytics is the process of getting business insights by using advanced mathematical and technological techniques. Predictive analytics can be gathered with the help of algorithms, big data, and machine learning.

Predictive analytics can be very useful for retail companies. In fact, retail analytics and retail data gathered by using predictive analytics is changing many aspects of the retail industry. Here are some of the ways in which retail companies are now using predictive analytics.

Anticipating Trends

Trends are extremely important for the retail world. In fact, in fashion retail, a single trend can make or break a company. For this reason, getting the trends right is highly important for retail companies. Through predictive analytics, companies can use advanced techniques to gather critical information about trends.

Once companies have this crucial retail data, they can put out products and conduct marketing schemes specifically designed to make the most of a trend. This can help to optimize sales.

Finding the Right Prices

How retail companies price their products can have a substantial impact on sales and profits. If retailers price their products too low, they will typically generate more sales, but will make less profit per item. If they price their products too high, they will make more profits per item, but they will generally sell fewer products.

So, finding the right price for retail products where large amounts of sales are being generated, but there is still a high enough profit margin, is highly important for retailers. Predictive analytics can scan sales in real time to determine fluctuations in demand. Then, algorithms can be used to identify the optimum price relative to demand. This can help retailers increase their pricing efficiency.

Creating More Successful Marketing Campaigns

Retail data gathered from predictive analytics can help marketers to better understand their customer bases. This can include information on product preferences, purchasing habits, geographic location, etc.

Once marketing departments have crucial retail analytics about their customers, they can use this data to generate marketing plans that cater specially to their most important customers or prospective customers. After all, the purpose of marketing is to convince people to buy more product. So, the better retailers understand their customers, the more effectively they can appeal to them. Predictive analytics is extremely helpful for gaining crucial customer insights for marketing purposes.

Karin Jakovljevic

About the author

Karin Jakovljevic

Karin Jakovljevic is the head of marketing at Ximble, a powerful, cloud-based workforce management system, simplifying employee scheduling and time tracking for retailers, restaurants and small businesses.

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