From Insights to Impact: Data-Driven Personalization in Loyalty Programs

Key Takeaways:

  1. Personalized offers and communications are vital to drive customer loyalty
  2. Data analytics and AI can uncover new insights at a granular level
  3. Concerns around data use and privacy must be addressed
  4. Third-party expertise can help drive cost-effective innovation in this area

It’s never been easier for customers to shop around online, which means making efforts to secure and maintain customer loyalty are as important as they’ve ever been.

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AI In The Real World: How Does It Drive Retail Success?

Key Takeaways:

  1. AI is already transforming operations for retailers worldwide
  2. Innovations are making impacts across customer experience, inventory, logistics and in-store 
  3. Retailers are saving money, cutting delivery times and boosting customer satisfaction
  4. Expertise is vital for strong implementation and adaptability for new technology

There’s a lot said about the benefits of AI in retail and how transformative it can be. But away from the headlines and bold claims, how does artificial intelligence benefit retail technology in practise?

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Achieve Faster Product Cycles in Retail with AI-Driven Engineering

Key Takeaways:

  • Retailers using AI have cut launch timelines by 30% and boosted revenue by 85%.
  • AI-powered engineering eliminates delays from planning to launch.
  • Retailers that react in real time win in trend-driven markets.
  • Digital twins are replacing costly physical prototyping of products.

The Retail Race Is On

Customer expectations in retail are evolving by the hour. Product cycles are tighter than ever, resources are stretched, and the margin for error keeps shrinking. Nearly 75% of consumers now expect personalized experiences, and they will turn to competitors if brands don’t catch up.

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What’s Next for Retail in 2025: Ciklum’s Predictions

Key Takeaways:

  • The retail sector continues to evolve at pace
  • Technology blending physical and digital is driving innovation
  • Seamless, unified experiences are crucial for customer satisfaction
  • Cost efficiency is a priority amid economic turbulence

Future of Retail 2025: Ciklum’s Predictions

The retail sector is experiencing rapid digital transformation, driven by evolving consumer expectations. According to Gartner, 86% of customer service leaders across all industries say improving customer experience is a top priority for them.

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Future of Retail: The Role of Digital Twins in Shaping Consumer Choices

Key Takeaways:

  1. Digital twins are transforming retail operations, sales and the supply chain
  2. Real-time data enables testing, simulation and predictive decision-making
  3. New levels of customer experience and personalization are possible
  4. Now is the time to get on board and maximize the potential

Future of Retail: The Role of Digital Twins in Shaping Consumer Choices

Digital twins are having a growing influence in shaping consumer behavior and choices across the retail sector. The combination of new technologies are helping forward-thinking retailers create digital representation of physical objects, which are changing the game for consumers, staff and the supply chain alike.

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6 Predictions for Intelligent Automation & AI in Retail in 2025

Key Takeaways:

  1. Intelligent automation is transforming retail operations
  2. New levels of efficiency, insights and cost-savings
  3. Ethical use of AI will remain a major concern
  4. Tech expertise is vital to make the most of new innovations

6 Key Predictions for Intelligent Automation in Retail in 2025

Intelligent automation is playing a leading role in reshaping retail trends in the retail and eCommerce sector, with as many as 80% of retail executives saying their organizations will have AI-powered intelligent automation in place by 2027.

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Transform Your Retail Experience with Advanced AR Solutions

Key Takeaways:

  • AR technology for retail is expanding all the time
  • It is essential for personalization and customization
  • Expert partnership is key for maximizing the potential of AR
  • A bespoke approach generates the best innovation

Transform Your Retail Experience with Advanced AR Solutions

Augmented reality and connected technologies like virtual reality are becoming more mainstream, as trends and predictions for AR/VR continue to evolve. The value of the global market is expected to reach $80 million by 2025, as the capabilities of blending virtual and physical continue to expand.

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How Experience Engineering Drives Retail Innovation and Growth

Key Takeaways:

  • Customer expectations for fast, personalized retail have never been higher
  • Joining all the dots of every touchpoint is vital for success
  • Experience engineering allows those all-encompassing solutions to be crafted
  • Partnering with a third-party expert unlocks key skills and expertise

How Experience Engineering Drives Retail Innovation and Growth

Modern consumers expect their retail experiences to be as fast and stress-free as possible, from single-click purchasing through AI-assisted product sampling to super-quick deliveries. Meeting these expectations can be challenging, but is essential in a fiercely competitive marketplace.

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Generative AI in Retail: 5 Ways It’s Transforming the Industry

Key Takeaways:

  • Generative AI improves customer interactions through personalized experiences.
  • AI-powered tools facilitate efficient inventory and supply chain management.
  • Retail marketing is more targeted and effective with AI automation.
  • Employee productivity is enhanced by AI-driven tools and insights.

Generative AI in Retail: 5 Ways It’s Transforming the Industry

As the global marketplace has become larger, more accessible and more competitive, the role of AI transformation in retail has become more and more important. In particular, generative AI in retail is proving to be a game-changer in supporting better customer experiences, greater personalization, and more intuitive and automated marketing strategies. 

Generative AI models use large amounts of data to produce any type of content – text, audio, video or still images – based on the prompts and commands given by the user. The ability to produce high-quality content at scale, and far faster than humans would be able to, can therefore yield some major business efficiencies that can be instrumental in driving competitive advantage.

We’ve already explored the 12 practical steps to getting started with GenAI in more general terms. So in this blog, we’ll explore the five key ways in which it can support transformation in the retail industry specifically.

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Product Lifecycle Management for Consumer & Retail


Key takeaways

  • Detailed PLM for retail can be transformative in a changing landscape
  • Eight product lifecycle stages, from concept to disposal
  • PLM can underpin growth if pressing challenges are resolved
  • A good deployment should address people as well as technology

Product Lifecycle Management for Consumer & Retail

The increasingly digitized and globalized nature of retail means that it’s tougher than ever to drive and maintain competitive advantage. Consumers have never had more choice around how, when and where to shop – especially online – so connecting with them through appealing and innovative product ranges is key.

Of course, customer trends and new innovations come on stream all the time, so being able to constantly adapt offerings is a vital part of maximizing market share and profitability. Product Lifecycle Management is the solution that makes this possible, and in this blog, we’ll explore how PLM in retail works, why it’s so beneficial, and the challenges to navigate along the way.

Introduction to Product Lifecycle Management

Product lifecycle management covers the journey of goods throughout its lifespan, from its initial concept and development, all the way through to its retirement and disposal. 

PLM in retail is especially important, because it allows retail businesses to plan ahead with their offerings and product ranges. Different items can be planned for development, release and retirement at different times, so that retailers can best optimize their ranges. Retail PLM software is a key tool in making this management as easy and user-friendly as possible.

In recent years, there has been a growing trend of prioritizing employee experience in internal tools, recognizing that it leads to increased productivity, loyalty, and job satisfaction. Aligning with this, a well-designed retail PLM system, shaped by experience design principles, can significantly boost employee satisfaction by streamlining workflows and taking the stress and inefficiency out of lifecycle management.

Eight Stages of Product Lifecycle Management

PLM in retail can vary slightly, depending on the nature of the product involved. But generally speaking, there are eight main stages of the lifecycle:

Concept: brainstorming and gathering ideas for new products (or improving existing products), based on market potential, feasibility, and wider company objectives.

Research: competitor analysis, market research and consumer sentiment analysis can help refine the concept to maximize its chances of success.

Planning: developing the product strategy, including project timelines, relevant KPIs, target market identification, resource allocation and pricing decisions.

Prototyping: creating initial models and simulations for testing and refinement, which may necessitate several iterations through feedback and results.

Production: at this stage, the goods can move into production, albeit with a constant focus on optimizing manufacturing processes and ensuring rigorous quality control throughout the supply chain.

Sales: the product is launched into its target marketplace, with the support of marketing campaigns and distribution channels that seamlessly connect customers to purchases.

Support: providing customer service to address any issues that arise, and gathering feedback to inform future improvements, fixes and iterations.

Retirement: phasing a product out of sale, which should include sustainable disposal and recycling of unsold goods to limit any impact on the environment, as well as transitioning customers to newer product versions if required.

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