The organisation now runs around 40 HGVs and 80 trailers, delivering a wide range of distribution and warehousing solutions for customers that expect dependable service, clear communication, and rapid response when requirements change.<\/p>\n\n\n\n
A defining part of Edge\u2019s market approach is its insistence on viewing operations through the customer\u2019s eyes. Rather than accepting \u201cstandard practice\u201d as good enough, the team looks at each customer workflow and asks whether there is a better way to deliver it.<\/p>\n\n\n\n \u201cEdge is different in that we always think of what the customer experience is going to be like, we\u2019ll look at what we\u2019re doing and work out if there\u2019s a better way.\u201d This culture of improvement is a strength, but it also makes system limitations feel sharper. When the warehouse cannot access stock history quickly, or when it takes too long to answer a customer query with confidence, the experience is felt immediately, both inside the operation and by the customer waiting for an answer.<\/p>\n\n\n\n As Edge expanded its warehousing offer, including customers with strict food handling and traceability expectations, the gap between what the business wanted to deliver and what its legacy tools could support became the start of a transformation journey. Edge was already committed to the mission, but needed better \u201cequipment\u201d to scale it reliably.<\/p>\n\n\n\n <\/p>\n\n\n\n A key pain point in Edge\u2019s previous setup was stock history. The team found it difficult to retrieve clear information quickly, which created friction in routine warehouse activities and slowed down query resolution.<\/p>\n\n\n\n When a system makes it hard to see what has happened to a pallet over time, stock checks become more time-consuming and less certain. It also increases dependency on individuals who know how to navigate the system, rather than enabling any trained user to self-serve accurate answers.<\/p>\n\n\n\n For a business that aims to optimise customer experience, this matters. Customers rarely see the internal complexity, they only experience the lag when an answer cannot be provided quickly, or when a query requires several steps to validate.<\/p>\n\n\n\n Edge also described the operational cost of not having fast, usable stock information. When teams are not confident in location truth, they compensate by physically searching. That tends to show up as extra walking, longer checks, and slower exception handling, especially during stock takes or when confirming whether a pallet is in the correct location.<\/p>\n\n\n\n This is where warehousing efficiency and customer service overlap. Time spent looking for information, either on screens or on the warehouse floor, is time not spent processing goods-in, executing call-offs, or improving flow through the building.<\/p>\n\n\n\n In third-party warehousing, customer trust is built on transparency. When a customer raises a query, the response needs more than a verbal assurance. It needs transactional proof: what was booked in, when it was received, who processed it, where it was put away, and how it moved while in the warehouse\u2019s custody.<\/p>\n\n\n\n Without that proof readily available, even small misunderstandings can take longer to resolve, and customers can be left uncertain about the status of their stock. Edge\u2019s service model, and its family-business reputation, made that an unacceptable long-term risk.<\/p>\n\n\n\n Edge also operates with BRCGS accreditation<\/a>, supporting food-based customers whose stock requirements include best-before dates, batch dates, and demonstrable traceability. Those requirements add complexity, but they also create an opportunity: if the warehouse can capture and act on that data cleanly, it can deliver a superior service while reducing operational noise.<\/p>\n\n\n\n For example, in food warehousing, the system must support picking strategies such as calling off goods by best-before date (shortest date first)<\/a> and reducing part-pallet<\/a> sprawl to keep inventory tidy and controllable. These are not optional process details, they directly support compliance expectations and stock integrity.<\/p>\n\n\n\n At this stage of the story, the challenge was clear. Edge needed a WMS that made warehouse traceability easy to access, fast to act on, and strong enough to support both customer experience and accreditation requirements.<\/p>\n\n\n\n Edge adopted Clarus WMS to replace complexity and uncertainty with live information and a clearer operational workflow. A cloud-based system mattered here because it enables live location awareness, reducing the gap between what the system shows and what is physically true in the warehouse at that moment.<\/p>\n\n\n\n This shift supports faster confirmation during stock checks, quicker responses to customer questions, and more efficient day-to-day work because teams are no longer relying on slow stock history searches or manual interpretation to find what they need.<\/p>\n\n\n\n From goods-in, Edge highlighted the practical difference Clarus made in booking stock in and booking it away into a physical location. This matters because inbound sets the tone for everything that follows. If goods-in is slow or unclear, the warehouse spends the rest of the day catching up. If it is consistent and fast, the warehouse can plan and execute with confidence.<\/p>\n\n\n\n
<\/p>\u2013 Nikki Edge, Operations Director<\/a><\/cite><\/blockquote><\/figure>\n\n\n\n![\"Nikki](\"https:\/\/stg-khh4l5.elementor.cloud\/wp-content\/uploads\/2024\/08\/1-922x1024.webp\")
<\/figure>\n\n\n\nOvercoming Warehouse Traceability Challenges<\/h2>\n\n\n\n
Stock history was unclear<\/h3>\n\n\n\n
Walking replaced visibility<\/h3>\n\n\n\n
Customer queries needed evidence<\/h3>\n\n\n\n
Food compliance increased complexity<\/h3>\n\n\n\n
Guiding Edge Toward Clarus WMS<\/h2>\n\n\n\n
Live cloud visibility<\/h3>\n\n\n\n
Goods-in became intuitive<\/h3>\n\n\n\n