Talk to an Expert

    Does AI hold the secret to retail success with leaner times ahead?

    A robotic hand points upward towards a glowing, interconnected network of lines and nodes, set against a blue background, symbolising artificial intelligence and technology.

    16th May 2022 | 3 min read

    Recent macro-economic events have taken their toll on the retail sector, with disruption to supply chains as a result of Brexit and the double blow of the pandemic and Ukraine crisis bringing the threat of global stagflation a step closer. As retailers restructure under the weight of enormous downward pressure, they will be thinking very hard about profitability. The priority of protecting margins and improving operational performance will mean greater reliance on data to gain increased visibility on profit and loss.

    Digital transformation and retail insight

    The silver lining of Covid, if one exists at all, is that the decisions that were to underpin the digital transformation journeys of retailers were dramatically accelerated. New partnerships were formed, new business models embraced, and new technologies were adopted. But while this led to initial transformative momentum, the manual processes and legacy systems still widely used in retail are under enormous strain and digitalisation has still much further to go.

    As in so many other industries, technology, and in particular artificial intelligence, will be instrumental in unlocking real-time insights and removing the burden associated with cumbersome, time-consuming methods of data interpretation and operations management. Successful retailers will be those that quickly deploy effective margin-improvement strategies targeted at the largest cost drivers underpinning the digital switch. For most retailers, these strategies centre around digital marketing, supply chain optimisation and channel-mix management.

    Intelligent merchandising: harnessing the power of AI and cloud

    Demand for intelligent AI-driven merchandising solutions is increasing, to help retail leaders stay ahead in an increasingly competitive marketplace. Pricing and promotions can now be based on business intelligence and insights derived from data hosted in the cloud, while historic sales data combined with point of sale (POS) data allow retailers to see first-hand what customers are purchasing and when.

    The centralisation of all data, processes and planning in the cloud provides ‘one version of the truth’ across the supply chain, accessible to all stakeholders at the same time. This unification speeds up and simplifies processes and facilitates collaboration. For example, two-way supplier collaboration tools bring together retailers and vendors to plan, negotiate and agree deals, track funding and manage media and promotion.

    A new dawn: Investing for the future

    Analysis of consumer data is key to getting retail right. Retail leaders need to leverage AI to capture deeper insights, anticipate customer needs and proactively deliver across every touchpoint[1]. As we see the growth of disruptors in the retail market, such as online behemoths on one side and the ‘deep discounters’ on the other, it’s essential to invest in systems now that will create a competitive advantage and boost revenue while facilitating a more detailed and data-driven approach to profitability.

    Cutting-edge purpose-built merchandising software signals a new dawn for the retail industry, and for those that choose to embrace it, cloud and AI will become powerful allies. With improved forecasting and planning, plus the ability to drive sales and oversee all aspects of supply chain management, intelligent merchandising software holds the key to retail success with leaner times ahead.

    To learn more visit: https://www.retailexpress.com/


    [1] https://www.gartner.com/en/industries/retail

    More from News

    • Retail Express listed as a Sample Vendor in the Gartner Market Guide for Retail Assortment Optimisation Applications in Merchandising 

      Assortment | Press Release

      Retail Express listed as a Sample Vendor in the Gartner Market Guide for Retail Assortment Optimisation Applications in Merchandising 

      16th October 2020 | 1 min read Retail Express was recognised among a shortlist of vendors in the 2020 report. October 2020 – Retail Express, a leading provider of merchandising solutions, today announced that it has been identified as a Sample Vendor in the Gartner Market Guide for Retail Assortment Optimization Applications in Merchandising  [1]. “Our sole focus for six years has been on working closely with our …

      Learn more
    • Retail Trends 2023: Strategic focus now critical to be competitive

      AI (Artificial Intelligence) | Blog

      Retail Trends 2023: Strategic focus now critical to be competitive

      3 min read | Barry Grange CEO, Retail Express 2022 was a difficult year. Though sales percentages were up almost across the board in the grocery sector, retailers spent the year battling rampant inflation, frequent supplier price increases, rising energy costs, and numerous other economic challenges. Customers felt the pinch deeply, meaning retailers were forced to fight, wherever possible, to prevent passing on additional costs. Sadly, the …

      Learn more
    • The real and current opportunities of artificial intelligence in retail

      AI (Artificial Intelligence) | In the news

      The real and current opportunities of artificial intelligence in retail

      With the UK’s AI Opportunities Action Plan taking shape, Ed Betts addresses some questions about retail AI solutions and why there’s no reason for retailers to wait to begin their AI journey.

      Learn more
    • Trading Performance – With Predictive Retail Analytics

      Assortment | Press Release

      Trading Performance – With Predictive Retail Analytics

      10th August 2016 | 1 min read Retail Express would like to announce the implementation of a set of Standard Analytical Reports providing multiple views of the Trading Performance for the Historical Analysis of performance by Format, Market, Store and by Department, Category, Item etc., In addition the RE 2.0 solution can combine the Historical with the Predicted future view so that two weeks into the period …

      Learn more

    Download Whitepaper