Matthew Randle, General Manager at independent bed retailer Dreamland Bedding Centre, shares an insight into how the business incorporates AI technology, the pitfalls to be aware of and why adopting AI can benefit your business.
The rise of Artificial Intelligence (AI) technology has seen a sharp increase across the furnishings sector. From image creation, day-to-day task handling to streamlining operations, AI has presented new ways of working. And when implemented correctly, it can save valuable time.
As an early adopter of AI, Matthew Randle shared his views on the technology and why his approach was a deliberate and strategic move rather than experimental. “Before adopting any tools, I tried to establish internal governance policies to ring-fence sensitive data. From an operational perspective, my early adoption focused on logistics optimisation, specifically delivery scheduling, route planning and load efficiency.
“More recently, we have embedded AI as a tactical enabler, designed to make tasks easier and more accessible for employees with varying skill sets. I was taught in a change management module, about capability augmentation reducing cognitive load, standardising quality and allowing employees to operate at a higher level regardless of prior technical expertise, which I think optimises how we are currently thinking of using AI.”
Matthew added that AI now underpins parts of its customer engagement, marketing analysis, SEO performance and decision support across the business, but reaffirmed that it’s always with human oversight. In fact, before diving into the plethora of AI tools available, Matthew signed up to various AI workshops. Here’s why: “The Innovate UK AI workshops were pivotal. They reframed AI not as a technical challenge, but as an operational/tactical opportunity for SMEs, requiring relatively little specialist expertise when approached correctly.
“They provided a structured, responsible entry point and reinforced the principle that AI adoption should be intentional, ethical and outcome-led. That initial stepping stone was a catalyst for everything that followed.”
Armed with the knowledge of how to implement AI into the business in a real way, Matthew has seen improvements in both the operational side of the company as well as customer relationships. “On the operational side, delivery routes and load planning are now significantly more streamlined. AI-assisted optimisation has improved planning accuracy, reduced inefficiencies and increased confidence in delivery commitments.
“More transformational, however, has been our use of AI to strengthen customer relationships. Through supervised AI-assisted correspondence, we’ve been able to scale thoughtful, high-quality engagement without losing authenticity. This has materially supported our goal of turning satisfied customers into brand ambassadors, not just repeat purchasers.
“From a marketing perspective, AI plays a role in SEO analysis, content auditing and performance insight, allowing us to improve organic reach while maintaining cost discipline.”
Matthew was keen to stress that AI has been huge benefit to the business, but not at the cost of replacing people. “AI is important, not because it replaces people, but because it releases time and improves cross-functional working. In SMEs, individuals often wear multiple hats. AI helps remove friction from routine or complex tasks, enabling teams to focus on judgement, relationships and creativity, the areas where humans add the most value.
“Strategically, it also allows smaller businesses, like us, to access analytical capabilities that were previously the preserve of large organisations. The person who did my training and spoke about how AI has become a force multiplier for productivity, consistency and decision confidence. This simple statement really sold me into using AI.
“What has impressed me most is the accessibility once familiarity is achieved. The perceived complexity disappears quickly and team buy-in has been remarkably strong. In fact, one of the best indicators of success has been how naturally the team has embraced it, even Mike, who’s in his 80s, clearly understands the benefits (albeit after I explained it to him in the pub).”
From all the pro’s AI can offer, Matthew warned of some of the pitfalls that await – if not used correctly. He started with ‘fear-based avoidance’. “I deliberately resisted early adoption out of concern that AI could become a crutch or be accelerated without governance. While caution was justified, complete avoidance can delay valuable learning. I think the key is controlled experimentation within clear guardrails.
“Second, over-automation without context. AI should inform decisions, not make them in isolation. Supervision remains essential, particularly in B2C applications where tone, nuance and judgement matter.”
A more personal pitfall is the uncritical reliance on AI tools without fully understanding how they operate. “While finishing my dissertation, I used Grammarly Pro to check grammar and discovered its text enhancement feature,” Matthew explained. “Initially, I applied it to improve my writing, and although the changes seemed minor, submitting the work through Turnitin revealed a significant AI-generated content flag.
“With only a week left before the deadline, I had to rewrite the entire document, though in hindsight, I believe the second version was actually stronger. This illustrates the risk of using AI tools without fully knowing their inner workings: even small, seemingly helpful adjustments can have unintended consequences.”
As highlighted, Matthew has implemented AI throughout the business and forms a key part of its ongoing growth strategy. In fact, there are three areas: Organic growth; Paid media and Geodemographic insight. He explained: “Organic growth – SEO has become increasingly costly and complex. AI allows us to audit site performance, identify content gaps, optimise structure and track ranking opportunities far more efficiently than manual analysis. This supports sustainable organic growth and reduces reliance on paid channels.
“Paid media efficiency – through AI-assisted analysis, we can better understand PPC performance, reduce waste and improve return on ad spend – ensuring better value for money. Geodemographic insight – we are exploring correlations between delivery areas, customer acquisition and marketing spend using geodemographic segmentation models (such as postcode-level profiling and attribution analysis).
“This helps us evaluate the relationship between print advertising investment and customer response, enabling more evidence-based allocation of future spend. I use to purely look at the Acorn classification for areas, I think that having our own data works far better. Together, these allow us to grow smarter and aid in becoming leaner.
“Planning for AI’s negative implications is just as important as leveraging its benefits. Businesses must think ahead about dependency, bias, data exposure and the erosion of human judgement if AI is used carelessly. Responsible leadership isn’t asking not only ‘What can AI do?’ but ‘What should it do and what should remain human?’.”
Going further still, Matthew has taken his newfound knowledge into the local community where he has recently launched a series of training seminars. “As Chair of the Community Enterprise Guild, I see firsthand how SMEs often assume AI is ‘not for them’. This misconception surfaced repeatedly in previous marketing training I delivered.
“With support from the West Midlands Combined Authority and the UK Prosperity Fund, have launched a series of practical AI training seminars. The goal is to demystify AI, provide governance confidence and equip local businesses with real-world, usable knowledge.”
In previous articles with Matthew, he has been described as a ‘sustainability guru’ for all the work he continues to do in this area. It’s only fitting he now adds ‘AI guru’ to his bow.
