In a challenging economic environment, competition continues to be fierce, and retailers must go above and beyond to combine profitability with quality. Customer experience will be at the heart of all industrial strategies, with a common goal: to make a difference.
One clear solution to meet this challenge is to invest in new technologies to better anticipate consumer needs and meet them as quickly as possible.
The numbers speak for themselves: according to Gartner, “57% of retailers plan to increase their software spending this year and prioritise investments in marketing and information technologies.”
In this article discover the 5 retail technology trends of 2024.
I. Generative AI and Machine Learning
Artificial Intelligence (AI) and machine learning are revolutionising all sectors, including retail, which is rapidly transforming to adopt these cutting-edge technologies.
These tools offer a real opportunity for retailers to improve the quality of their services and personalise the shopping experience by anticipating needs and providing tailored responses to each customer.
Here are four key benefits of artificial intelligence for retailers and their supply chains:
1 – Demand Forecasting
Predictive analytics, powered by AI, offer supply chain players a comprehensive and continuous view of market needs.
This allows them to improve the performance and profitability of their supply chain by adjusting production in real time and minimising costs related to stock management.
2 – Personalised Marketing Actions
AI-powered recommendation engines analyse customer data to propose targeted marketing actions which are tailored to different consumer profiles and maturity levels.
For example, these actions can be:
- Custom promotions: A promotional offer is proposed to the customer based on their consumption habits.
- Targeted advertisements on social media: Based on their searches and interactions with brand content, the consumer is exposed to a specific advertising message.
3 – Continuous Customer Support
AI conversational chatbots offer continuous customer service by instantly answering customer questions.
This new technology made possible by machine learning, allows supply chain players to:
- Reduce operational costs
- Save time for more value-added tasks
- Improve overall customer satisfaction
4 – Real-time price optimisation
Artificial intelligence transforms price management in retail with advanced algorithms capable of deciphering and analysing market data in real time.
These technologies allow retailers to quickly adapt to fluctuations in supply and demand, ensuring optimal pricing that maximises both competitiveness and profitability.
By integrating predictive models, these AI algorithms identify emerging consumption trends, anticipate seasonal variations, and respond instantly to competitive actions such as price cuts or special promotions. This ability to dynamically and intelligently adjust prices leads to better resource allocation in the supply chain and significantly increases customer satisfaction with consistently fair and adapted pricing.
II. Process Automation
The progressive integration of AI in the supply chain allows retailers to automate many essential operations for its smooth functioning.
Improved Inventory Management with RPA
Robotic Process Automation (RPA) involves using software, often referred to as “robots”, to automate and standardise repetitive tasks in computer systems.
These software robots can simulate human actions such as:
- Managing files and folders (creating, updating, moving etc.)
- Entering data
- Processing transactions
- Communicating with other digital systems
RPA systems leverage and analyse data from various ERP (Enterprise Resource Planning) or inventory management systems, ensuring regular and accurate stock level updates.
By minimising human errors and automating repetitive and time-consuming tasks, RPA:
- Frees up time for your teams to focus on more strategic and value-creating activities
- Significantly improves stock and supply chain management
Improving Logistics Flows with Autonomous Mobile Robots (AMR)
Another notable innovation in the supply chain is the adoption of Autonomous Mobile Robots (AMR).
AMRs are intelligent robots designed to move independently in various environments without needing predefined paths. They use advanced sensors and software to navigate and perform logistics tasks such as transporting goods across a warehouse.
Unlike Automated Guided Vehicles (AGVs), which require fixed predetermined routes, AMRs offer greater flexibility and adaptability.
The combined use of AMRs and automated conveyors reduces internal delivery times and enhances the supply chain’s responsiveness to fluctuating market demands.
In conclusion, automation significantly improves supply chain performance by ensuring:
- Productivity gains: Automating logistics warehouses significantly increases the speed and accuracy of supply chain operations.
- Considerable reduction in operational costs: The initial investment in these technological innovations has a certain cost but it’s a long-term investment with a formidable ROI (Return on Investment).
- A safer work environment: Accidents are reduced as operators are no longer subjected to heavy lifting.
Example:
In the UK, British Sugar’s supply chain has been optimised through automation.
Managed by a Warehouse Management System (WMS), the warehouse is equipped with several automation systems such as stacker cranes, conveyors, and motorised shuttles that improve the flow of goods.
This automation has significantly increased the flexibility and safety of moving 3,000 pallets of finished products per day.
III. Digitalisation of Retail Points
With the rapid evolution of new technologies, online shopping has become the norm.
” In 2023, the number of e-commerce users in Germany reached nearly 68 million people, making it the largest e-commerce market among the five countries compared. The UK took second place with over 56 million people, followed by France with around 51 million. According to Statista Digital Market Insights, the number of users will continue to grow in these countries, with Germany and the UK maintaining their positions as the two most important markets.”
However, despite a continuously growing e-commerce market, in-store shopping remains a widespread practice. This trend perfectly illustrates the paradox of a society that, despite its desire for immediacy, aspires to reconnect with essentials and slow down by moving away from digital.
Retailers have understood this and continue to invest in their physical stores by digitalizing them.
Digitalisation has been made possible by various innovations which are described in more detail below.
RFID Tags and QR Codes
Adopting technologies such as RFID tags and QR codes significantly improves article traceability throughout the supply chain to the point of sale.
This approach enables real-time inventory management and ensures accurate product identification and tracking at every stage.
Surveillance Systems
Using video surveillance and sensors provides a 360-degree view of the store, thus allowing the analysis of customer journeys from entry to exit.
This technology helps optimise store layout and staff allocation by identifying areas needing more attention or those less frequented.
Mobile Tools for Staff
Equipping employees with tablets and smartphones allows them to provide immediate and personalised responses to customers, significantly improving in-store interactions and customer satisfaction.
IV. Social Commerce
Today, platforms such as Instagram, Facebook, Pinterest, and TikTok are more than social platforms; they have transformed into real commercial vectors.
They offer brands innovative tools to interact directly with consumers, facilitate integrated shopping, and influence purchasing decisions, thus making social commerce a crucial component of modern retailers’ omnichannel strategy.
“In Europe, social commerce is expected to grow by 24.4% year-on-year to reach 92.11 billion USD in 2024.”
Although social commerce still occupies a modest share of the European market compared to leaders like the United States and China, it is predicted that Generation Z and Millennials will increasingly adopt this practice in the medium term in the UK.
It’s also interesting to note that two-thirds of consumers use their phones to search for product information while shopping in-store, highlighting the growing omnipresence and influence of smartphones on consumption habits.
V. Datafication
Big Data in the retail sector has made unprecedented visibility possible on customer buying behaviours and supply chain management.
Through advanced analytics platforms, retail players can now continuously access and exploit data from all of their supply chain distribution channels such as websites, mobile apps, social networks, physical stores, etc.
These valuable insights are used notably for:
- Personalising offers
- Optimal resource management
- Dynamic price adjustments
- Streamlining in-store and warehouse operations
This innovation results in a major challenge for retailers: centralising and securing their data and establishing a single coherent and efficient workflow.
Modern data integration solutions (such as cloud technologies, specialised e-commerce data integration software etc.) play a key role in this approach, enabling the combination of data from multiple channels and using AI and machine learning-powered analytical platforms to generate actionable reports.
Conclusion
Emerging technology trends in the retail sector in 2024 are profoundly redefining how supply chain actors interact with their customers and manage their operations.
From artificial intelligence to datafication and automation, these innovations offer retailers unprecedented opportunities to improve the operational efficiency of their processes and omnichannel strategy.
By investing in these emerging technologies and adopting a proactive approach, you can successfully meet the challenges and opportunities in the retail sector!
