AI POS: The Evolution of Retail Convenience, Speed & Personalization

By Dafne Romero, Marca Marketing Founder

70% of consumers expect personalization from retailers, and 76% are frustrated if that doesn’t happen; understanding individual needs is not enough — it’s an imperative for survival. In the retail landscape, the way businesses approach pricing strategies and customer loyalty has experienced a significant shift, largely driven by the rise of artificial intelligence (AI) and innovative point-of-sale (POS) systems that involve sophisticated platforms that not only manage sales but also drive key business decisions.  

One of the most important ways POS technologies are transforming retail is by influencing pricing decisions through analyzing vast amounts of data in real time, identifying patterns and flagging them, allowing retailers to leverage personalization in the shopping experience with a focus on two crucial processes.  Fist, inventory levels, with automatically updating stock predicting future demands.  This means identifying trends to predict items with restocking opportunities.  Second, boost customer retention by tracking customer purchase preferences to provide personalized rewards based on shopping behaviors.  65% of consumers find it helpful when a retailer suggests products based on their previous purchases or preferences.  And third, connect your social commerce platforms to your In-store retail POS to ensure you satisfy your customers' demands.  53% of consumers have already purchased directly through a social platform.

Customer intimacy must be your business focus, so pay attention to those customers who visit more frequently and spend more per trip, as well as respond more rapidly to personalized offers. They are also the foundation of every revenue forecast, every ranging decision, and every promotional investment. In short, a customer-first culture requires an improvement in productivity and velocity through innovative tools such as AI Retail POS systems.

Loyal shopper has always been retailers' most valuable asset. Customers who return week after week consolidate their spend with a single retailer. To leverage your personalization strategy before investing in your Innovate AI POS System, learn about What Retail Data Isn’t Telling You, a study by Nielsen IQ.

What today’s shopping basket say?

1. Be strategic with discount promotions

Loyal customers visit your stores because your brand satisfies their needs. So, spotlight and enhance the perks with a loyalty program. Habitual promotions can damage your brand image and lead to a dependency on discounts to drive sales.

2. Switch to a lower-priced option

It could be a consumer-saving strategy.  However, brands must seek to upgrade the customer basket. A smart AI POS system can offer upgrade promotions to your client base based on individual personalization preferences in each transaction. So, focus on enhancing their shopping cart.

3. Monitor overall basket cost

Price strategy is crucial. Shoppers used to compare across retailers. Sales strategies must be planned based on revenue and product participation to reduce inventory costs and increase business profit.  

4. Cross-channel integration

Retail media networks are huge, and they’re growing. Today’s shoppers expect connected experiences across online and in-store journeys.  However, for several retailers, it still appears like silos. A smart POS can unify the customer journey platforms to maximize the personalization experience.

5. Squeeze your customer data

Transform your customer data into action plans. The future of Retail is a path to purchase through a fluid omni-channel journey by physical retail stores, social commerce, and e-commerce.  Maximizing your business strategy using party data and customer reviews is the key to achieving customer loyalty.

Sources by Forbes and NilsenIQ.

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