Retail was already losing its positions to online-only marketplaces when the pandemic delivered an ultimate punch—customers had no other option but shop online. Instead of succumbing to depression, many retail businesses engaged in retail digital transformation accelerated their automation efforts and started experimenting with AI, robotics, and connected devices.
Indeed, automation is an important factor in not only helping retailers reach out to customers in the lockdown but in bringing back those who had opted for online shopping even before that.
Automation provides a huge opportunity for retailers to gain back some of the ground they’ve lost to digital-native competitors and protect the market share they currently have through better efficiency, more convenience, and better sustainability. [...] Even in our technology-centric world it’s rare to find one investment opportunity with such wide-reaching potential.
According to the latest report from Capgemini Research Institute titled Smart Stores – Rebooting the Retail Store through In-store Automation, 66% of consumers are hopeful for retail automation to help them avoid long checkout lines, and 46% are willing to switch from online shopping to physical retailers that use automation technologies in their stores.
Retail is under a big pressure. Customer expectations are surging (currently complemented with the need for less contact and more distance), and competing with online requires acceleration of digitization efforts. Under these circumstances, retailers try to pursue automation enabled via retail software to keep ahead of online competition.
Customers shop in a nonlinear way using multiple channels, and it’s up to them where to start and where to quit their journeys. Meanwhile, retailers are expected to deliver seamless and personalized experiences as their stores are but a stopover on customers’ journeys.
To deliver on these expectations, retailers can use customer experience technologies to connect physical and digital channels and automatically accumulate and unify customer data from different sources, like connected devices, online stores, or social media. As a result, retailers can continue the conversation with a customer from one channel to another. They can provide consistent experiences both in-store and online and spread the same brand messages across channels.
Meanwhile, the possibility to connect different functions and business units provides more visibility into inventory, stock, and orders. It allows retailers to get access to complete and relevant information and provide the kind of seamlessness customers expect from their shopping experiences.
Though customers are eager to come back to a normal life, at the same time they are wary of health risks. For this reason, they expect swift and secure contactless experiences inside offline stores, such as:
The best thing about enabling contactless interaction is that it also helps solve issues that frustrate customers most, like long queues, out-of-stock products in physical locations, and navigation difficulties:
It’s par for the course with retail employees to spend a considerable share of their day on manual work and waste time due to limited access to data. Consequently, in most cases retail automation is about streamlining day-to-day activities such as the ones below.
The changes in the retail landscape have made data a key competitive advantage. Not because it’s rare—retailers have a treasure trove of data from different sources—but because it’s tricky to harness it to get a unified view of customers and their touchpoints. It’s especially important for the retail industry with its rapidly changing trends.
To automate data accumulation, it’s necessary to encourage interdepartmental cooperation (between sales, warehouse, service, planning, finance, and marketing teams), connect internal and external sources to a single hub for continuous data flow and synchronization, and make sense of the accumulated data by means of retail business intelligence.
Merchandising is one of the most time-consuming retail activities, particularly for those companies that have to generate stock planning and promotion reports based on data downloaded from multiple sources and manually match products.
Currently, many merchandising activities can be automated:
Merchandising automation relies on historical analytics, current transactions and inventory, and demand fluctuations and suggests strategies for assortment planning, storage, and stock replenishment per specific criteria, like seasons or different locations. It’s also possible to automate pricing and promotions and make them dynamic. With customers expecting new items each time they visit a store, automated merchandising helps retailers provide fresh and relevant stock in a timely manner while getting low-stock alerts to prevent understocking.
When retailers activate the inventory across different locations and warehouses to fulfill orders and provide such delivery options as click-and-collect or curbside pickup, they have to take into account multiple processes, like payment, taxes, returns, location-level inventory, and more. With automated order management, it is possible to connect different systems, from CRM to warehouse management, capture orders from different channels, keep track of inventory and returns, and supervise deliveries.
As a result, retailers can:
Retailers who pursue customer-centricity and want to boost in-store convenience, balance their stock levels, and increase safety, need to invest into contactless experience design enabled by automation. It takes multiple connected devices, like mobile POS, self-checkout kiosks, shelf and door sensors, RFID tags and scanners, information kiosks, and AR fitting rooms, while ensuring they can communicate with each other.
In order to provide targeted personalized experiences and implement consistent branding strategies across various touchpoints, retailers need to automate their marketing efforts, too.
For instance, they can tag customers with specific attributes that will trigger marketing actions in response to particular activities, like:
Retailers all over the world are investing in automation by partnering with technology companies working with robotics, virtual reality in retail, artificial intelligence, and data analytics. Let’s check out a few real-life examples of what retail automation can look like in practice.
Itransition was approached by a global fashion retailer selling clothing, accessories, and home goods. It had a highly popular website and mobile app that generated large amounts of data, so the customer wanted to build a single hub to collect, sort, and analyze customer behavior data for further personalization.
We delivered a retail-specific BI platform that collected and analyzed data in near real time and supported the retailer’s marketing team in:
We complemented the platform with an AI-powered recommendation engine that operated based on user activities, such as purchases, views, and clicks coming from different channels. Experienced in computer vision in retail, we also implemented a technology for product image recognition to automate time-consuming internal processes, such as product attribution, multi-attribute image classification, similarity search, and more.
As a result, our customer saw an 8% increase in conversion rates, a 50% decrease in infrastructure costs, and a 15% increase in collected data volume.
Rozum Cafe is an autonomous coffee station where a robot-barista brews and serves coffee drinks, making the process quick, around-the-clock, and totally safe considering all the social distancing. The coffee-making process was developed together with a prize-winning human barista, so the robot is programmed to use professional techniques when it comes to proportions, grinding, pressure, and so on, which makes drinks consistently great.
The process is simple. Using a self-service kiosk, customers can select a drink, pay by their preferred method, and wait about two minutes to get their coffee. The system only needs a quick daily checkup to make sure it doesn’t require any minor fixes.
The robot comes with a built-in CRM system that accumulates statistics on customer behavior and helps make accurate forecasts and fine-tune procurement planning.
In order to put theory into practice and make automation a success, retailers need to combine a few ingredients.
Automation is something that is fueled by data, and its efficiency is boosted by data categorized and prioritized according to use cases. For this reason, it’s necessary to build a data ecosystem accompanied by a data analytics strategy. For instance, you need to capture different types of data if you intend to provide personalized customer experience, forecast shopping trends, or streamline internal workflows.
It’s possible to automate specific workflows with standalone tools, for example for email marketing, reporting, or SEO. However, as your business grows, it will require more centralized and sophisticated solutions that can communicate with IoT devices and provide capabilities in support of AI use cases.
Most probably, you will have to decide between CRM vs ERP depending on your business model. These systems can connect various data sources and enable automated predictive analysis.
Unfortunately, technologies and data are not enough if your employees still use their instinct to make decisions instead of relying on analytics. It might have worked in the past but today gut feeling is a poor predictor of the future.
For this reason, retailers need to move from the traditional mindset to data-driven decision-making by means of reskilling and training their employees, hiring new talents, and reshaping operational models to help employees play more strategic roles and use tools to be proactive. Retail businesses should also be ready for automation to push them towards more agile modes of work, decentralization, and silo-free cooperation.
Even before the pandemic, those retailers who had already started their automation journeys were able to outcompete by means of transforming their workforce and providing much more customer-centric experiences. But in 2020, retail businesses faced a harsh choice to either digitize or die.
Today automation is viewed as a way to bring customers back into stores. The longer retailers wait for the situation to sort out itself, the higher the risks they won’t be able to catch up.