Retail technology is transforming the customer experience and business operations. But it also brings complexity. To achieve success, retailers must adopt agile ways of working and create a resilient technology architecture.
For example, a centralized reporting dashboard can make it easy to analyze sales, inventory, product, staff, and marketing data. This helps retailers improve their performance and meet customers’ expectations.
1. Personalized Marketing
Retailers are leveraging technology to provide customized experiences for shoppers. This includes offering curated products and content, targeted promotions, and even altering store layouts or larger branding to appeal to specific demographics.
For example, a beauty products retailer might use customer data to identify different segments of its audience. This information can then be used to create personalized online shopping experiences and tailored product recommendations that resonate with each segment.
Additionally, retailers can use artificial intelligence to automate tasks that would otherwise require human intervention. For instance, a retailer could deploy robots to assist customers in the store or alert warehouse employees when certain items are running low on stock. This helps reduce labor costs and improve the overall experience for consumers. It also frees up workers to focus on other key business activities.
2. Artificial Intelligence
The retail industry relies on technology to deliver customer experience, optimize business processes, enable retail workers, and build more agile, growth-oriented business models. Nevertheless, tech modernization challenges persist for many retailers.
From mom-and-pop shops integrating augmented reality (AR) for customer engagement to superstores offering choice and convenience, the latest retail technology covers the full spectrum.
For instance, the use of AI for omnichannel customer service helps businesses create a personalized shopping experience that builds trust between customers and the brand. AI can also help businesses automate tasks like order processing and delivery. And using AI for demand forecasting enables retail companies to manage supply efficiently. This way, they can make better commitments to suppliers for product deliveries and avoid the risk of losing sales because of stock outages.
3. Big Data
The retail industry is full of data, but extracting the insights that matter requires a sophisticated set of technology solutions. Big data analytics uses advanced computer power to collect and analyze large volumes of complex information at a rate unimaginable for traditional methods.
Retailers use big data to predict trends and make decisions, optimize inventory management, and drive omnichannel personalization. They also leverage it to optimize processes, anticipate workforce needs, and support the digitalization of supply chain functions.
Gone are the days of colleagues on store floors clutching clipboards, calculating inventory manually. Now, software is able to identify exactly what stock is where and when. That enables business leaders to decide when to reorder new products or slash prices on older ones. This reduces out-of-stocks and overstocks and bolsters customer retention.
Whether it’s self-checkout or automated order fulfillment, advanced technologies make brick-and-mortar stores more customer-friendly. They also help retailers streamline internal operations and deliver products faster.
For example, special hardware can aid with inventory management systems by identifying sales floor quantities that may not be reflected in the system allowing workers to quickly replenish stock without the need for manual counting. It can also help retailers avoid costly stockouts.
Predictive analytics with AI allows retailers to analyze historical data and external factors in real time to accurately forecast demand. It can also reduce costs by preventing overstocking and understocking. In addition, it can streamline warehousing and supply chain operations and enhance marketing insights. This is why digital leaders generate 3.3 times higher TSR than digital laggards.
Aside from enabling personalization, analytics helps retail companies refine every aspect of their service to customers. This includes helping them manage their inventory, deliver on customer service needs, and provide superior in-store experiences.
For example, intelligently leveraging data on customer behavior allows retailers to better anticipate when certain products need to be reordered. Additionally, advanced point-of-sale and retail inventory management systems can track sales and product stock to ensure they always have what customers want year-round.
Similarly, frictionless checkout technology systems like those used by Wheelys 247 enable a no-queue grab-and-go experience for busy shoppers while also ensuring accurate transaction tracking and customer service. These smart retail technology solutions are becoming a necessity for retailers as they work to resolve next-generation challenges such as supply chain complexities and ongoing raw material shortages.