AN ASSESSMENT OF CONTEMPORARY INVENTORY MANAGEMENT TECHNIQUES USED WITHIN UK SUPPLY CHAINS ANS THE LOGISTICS INDUSTRY 1 Table of Contents Chapter 2: Literature review ........................................................................................................... 3 2.1 Introduction ........................................................................................................................... 3 2.2 Evaluates advanced inventory management techniques in UK logistics industry ................ 3 2.3 Explores contemporary inventory management practices in UK supply chains .................. 7 2.4 Examines how UK logistics sector integrates cutting-edge inventory techniques ............... 9 2.5 Literature gap ...................................................................................................................... 12 Reference List ............................................................................................................................... 13 2 Chapter 2: Literature review 2.1 Introduction The literature explains how the inventory management has a transformation characteristic that this increasing efficiency and flexibility of operations plays enormously crucial to supply chain management. The main themes having been discussed are a replacement of traditional techniques by hi-tech systems, data analytics, models via optimization, that allow to increase visibility of stocks, demand forecasting, and inventory level optimization. Scholarly references mention the numerous barriers that logistics suppliers face in realizing the actual benefits of advanced approaches of material handling, for example, organizational change resistance, system integration issues, and requirement of advanced skills (Richards and Grinsted, 2024). Through summarization of said background research, the ground is laid for further examination of the present reality of supply chain management within the UK logistics sphere. 2.2 Evaluates advanced inventory management techniques in UK logistics industry Figure 2.2: Inventory Management Plays a Crucial Role in the Logistics Industry 3 (Source: Rushton et al. 2022) UK logistics industry has gone through quite a revolution in its inventory management methods, as answers to all the questions related to speed, responsiveness, agility and cost saving within the chain of supply are being looked for. The management of company's inventories is rapidly improving and has, as the only key to competitive advantages, been adopted by many enterprises (Rushton et al. 2022). While one of the important trends widely adopted by the UK logistics companies nowadays is the use of predictive analytics and demand forecasting. Firms are employing maturely processed algorithms and machine-learning patterns to process the earlier sales information, market variables, and evolution factors which by the end create more precise demand forecasting predictions. As a matter of fact, the past-year study on the topic of inventory analytics in helpline monetization picked out a 15-20% drop in inventory for below average UK logistics providers (Rejeb et al. 2020). Through more the close-knit linking between your anticipated inventory level of demand and stock, these companies have been able to take off excess stock, lower the costs of carrying, and improve service standards. One of the most fundamental tactics used by the British logistics companies is fitting the real-time inventory monitoring and visibility. Companies can capture the goods movement and status through technologies such as Radio-frequency identifications (RFIDs), barcodes, and linked connected sensors in a an almost real-time base. CILT UK identified that 82% of logistics companies in the UK are implementing some form and have completed the transition into real time inventory. The statistics finally show an average saving of 12% in inventory write-off and an improvement of 9% in on time delivery (Ghadge et al. 2020). UK logistics companies, which are the carriers of omnichannel retail, are investigating new inbound and intracycle pooling and allocation strategies. Omnichannel has thoroughly changed the method of the logistics, which is reflected in the term "busy" warehouse, where already stored goods can be picked and packed for delivery to different customers. These firms are taking a holistic approach of inventory which entails unification, connection and real-time data sharing with the goal of automatically directing stock to meet demand wherever it may be whether it is physical location, ecommerce platform or collection service. The UK Logistics and Supply Chain Management Research Centre has carried out a survey (Blanchard, 2021). It was found that the 4 companies which apply advanced pooling techniques with inventory management succeeded not only in lowering their overall level of inventory (23%) but also in improving order fulfillment rates (17%). And in the same way, the UK warehousing industry has taken on the development and implementation of the automated storage and retrieval systems (ASRS) that help to optimize the stock management process. These futuristic, computer-controlled systems are able to accommodate huge amounts of inventory in very limited spaces, allowing for faster storing, retrieving, and replenishment. The end result is higher efficiency across the warehouse, and less expensive labor. Based on the statistics estimated by the logistics sector, they asserted that the shift to AS/RS in UK led to average 30% more productivity in the storage space utilization and 25% drop in the operational expenses which has symbolized the major characteristics of the AS/RS (Fatorachian and Kazemi, 2021). Moreover, an increasing number of UK companies have been involved in adopting blockchain technology-linked supply and inventory chain management applications. Using the inherent properties of immutable and traceable chain, companies can strengthen supply chain tracking/sharing, reduce the probability for fraud, and more importantly, make sure that employees of supply chain partners have access to easy and quick information. A lately performed pilot project from one of the most prominent UK logistics companies has demonstrated that the applying of blockchain-based stock control to their system resulted in a 19% decrease of inventory inconsistency, and a 14% boost in the visibility of an experienced stock (Altekar, 2023). When these technology-oriented turn a blind eye to the vitality of long-term sustainability and circular economy principles in inventory management, the UK logistics industry also recognizes the issue and advocates for a circular economy. Companies come up with tactics like retrograde logistics to reclaim wastage, product refurbishment, and closed-loop supply chains which basically reduce the environmental consequences and maximize resources utilization too. Green inventory management is considered to be the most important part of sustainable logistics practices (Altekar, 2023). The ability to reduce wastage, optimize picking, and fill-in orders quickly has been a key driver to achieve a 21% reduction in carbon emissions and a 17% increase in customer satisfaction. Through the utilization of modern logistics improvement methodology, the UK supply chain faces few difficulties that stand in the way for the industry to fully avail the positive output of these 5 techniques. The first issue is the fact that the operation of such complex systems and their optimization are mostly determined by certain analytical and modeling skills and expertise (Cigolini et al. 2022). A survey conducted by the UK branch of CIPS – Institute of Procurement and Supply (CIPS UK) – revealed that 68% of logistics companies confess they have staff deficiency and the employees are failing to exploit the inventories management tools and techniques. There is complexity in the process of uniting multiple systems and of data sources in the chains of supply which are so complicated. The very important requirement of being able to access information or define inventory data across from different partners and channels is hence the key concept for the full implementation of developing sophisticated inventory management strategies. But what UK Logistics and Supply Chain Management Research Centre have proved was 52% logistics enterprises in that country are having enormous difficulties in integrating their inventory management systems with those of their suppliers (Wisner et al. 2021). The UK logistics industry is taking quite a determined manner when it comes to improving its workforce training, adopting collaborative measures and eventualizing industry-wide standards and best practices. CILT UK and Logistics and Supply Chain Management Research Centre are the organizations that help in creating good networks where they exchange knowledge, skills, and adopting advanced techniques of inventory management to be utilized in the sector. In the finale, the UK logistics sector has shown quite a willingness to move the advanced inventory asset management technique and made use of a broad range of data-driven, technology-based, and sustainability-oriented approaches. These technological solutions which include predictive analytics and real-time inventory tracking but not limited to automated storage systems and blockchain provide significant benefits to the supply chain operators looking to boost their efficiency, responsiveness, and cost optimization (Fernie, 2023). Despite that many folds still remain in the way to overcome barriers such as the development of specialized skills and system integration; what comes out undeniable is the need for industry-wide collaboration, knowledge sharing, and the development of industry-wide standards and best practices. 6 2.3 Explores contemporary inventory management practices in UK supply chains UK supply chain sector has been greatly reformed in relation to the inventory management approach in the last few years due the requirement of higher efficiency, agility, and cost minimization. Since the competition is intensifying, more and more companies try to make themselves stronger by improve their current methods. A key area of interest that many UK supply chains are adopting nowadays is forecasting and planning using more sophisticated demand management systems (Tirkolaee et al. 2021). Companies are empowered with sophisticated algorithms and machine learning models to poorly make demand predictions based on historical sales, market segmentation and external factors. The last few months brought us an amazing industry report which showed an enormous reduction in inventory levels for the leading businesses that had been caused by advanced demand forecasting implementation. Such firms have been in a position to ensure that the levels of stock in hand are indeed in sync with the projected demand, that has inadvertently caused them to reduce excess stock, carry costs and admitted them to service levels increase (López et al. 2022). Figure 3: Maturing supply chain analytics for optimal inventory management (Source: Abideen et al. 2021) 7 Apart from the frequent flow of information built into their system, UK supply chain organizations also incorporate the practice of real-time inventory tracking and visibility. With the help of technologies which have if not RFID, barcode scanning and connected sensors but may be also business verticals that can track their goods in a near-real-world. The study by CILT UK disclosed that almost all supply chain companies in the country has tried to apply real-time inventory tracking and which have contributed average 10% reduction of inventory write-offs and a 7% of on-time delivery (Abideen et al. 2021). With the new sales channels that have come up the UK supply chain management forces are now searching for intelligent inventory pooling as well as allocation strategies. The benefit of it is that it allows these companies to have a holistic, centralized view of inventory across all their distribution channels. Hence, they can dynamically move stock to whatever channel most readily fills customer demands, be it the brick-and-mortar stores, online shopping platforms, or just clickand-collect service. Advanced inventory pooling research by UK's Logistics and Supply Chain Management Research Centre affirmed that those firms performing modern technology successfully decreased inventory reduction by up to 19 percent and improved order fulfillment rate by 14 percent (Arji et al. 2023). Moreover, the UK supply chain industry uses AS/RS to pick, pack and therefore move inventory by the use of data-driven strategy in order to optimize the inventory management. These computerdriven, close-packed systems result in decreased labor cost as well as higher efficiency of the warehouse while allow to do inventory faster and easier due to decentralize storage, quick retrieval and replenishment of inventories. It was calculated by sector data that an average 27% enhancement of storage capacity usage and 22% drop of operational expenses were applied as a result of extended adoption of AS/RS in UK supply chains (Liu et al. 2021). Besides this, UK supply chain companies have been pioneers while trying to apply blockchain in supply chain management and inventory management. Through incorporating this permanent and transparent blockchain capability, businesses are capable to enhance inventory tracking, minimize the risk of fraud, and satisfy easy sharing of process information between all supply chain members. For instance, a UK-based supply chain operator has undertaken a pilot project using blockchain for inventory monitoring. The result was immense and 16% stock wastage and 12% inventory visibility improvement were witnessed (Zahraee et al. 2020). Apart from these digital8 related approaches, the UK supply chain companies have also paid attention to the other principles, namely the sustainability and circular-based approach, in terms of inventory management. Organizations develop measures like reverse logistics, product refurbishing, instead of developing the closed-loop supply chain system to emulate the proper utilization, waste reduction, and lowering the environmental impact. As shows a report by the UK Logistics Research Network, organizations that make sustainable inventory management practices implemented, they have got carbon emission decreasing 18% and customer satisfaction increasing 14% (Frei et al. 2020). Notwithstanding the well embraced form of the present-day inventory management techniques, UK supply chain industry still undoubtedly faces several challenges to effectively achieve the benefits of those skills. One crucial barrier is the requirement for technical skills and vast knowledge, as the rollout and fine-tuning of complex inventory management systems mostly entail a profound understanding of data processing, supply chain simulation, and transformation inner workings. According to the Shashi et al. (2020), over 60% of supply chain companies in their country experience skills shortage as regards the knowledge of and ability to properly leverage modern inventory management solutions. 2.4 Examines how UK logistics sector integrates cutting-edge inventory techniques In the case of the UK logistics sector, the latest and ground-breaking inventory management techniques are used innovatively to improve the efficiency and swiftness to the different supply chain operations. This technique has given provider logistics companies a chance to maximize their stock levels, as well as to make them have quality customer service and this has kept those companies ahead of the industries. 9 Figure 2.4: Evaluating the Role of Supply Chain Management in Enhancing Operational Efficiency (Source: Friday et al. 2021) The UK logistics industry was one of the first to deploy in-built solutions in order to track and monitor real-time shipment inventory and visibility. Through the deployment of technologies like radio-frequency identification (RFID), barcode scanning, and IoT sensors, these companies can thus get to know in almost real-time, how goods are being shipped and their status. A study by Chartered Institute of Logistics and Transport in UK disclosed that 85% of their logistics companies adopted some form of real-time inventory tracking. This has led to a reduction of the average 14% in accuracy in inventory and an improvement of 12% in the on-time pick-ups (Friday et al. 2021). These elevated viewpoints have enabled logistics providers to make more fact-based judgment and to respond to incidents with more planning. Supply chain performance can be further improved as a result. The emergence of the omnichannel retailing has created a real impulse for the logistic sector of UK and study of advanced inventory and the allocation strategies are included in such process. Through maintaining a single, standalone perspective of inventory across various distribution 10 channels, these companies are able to apportion stocks to meet customers’ needs as and when they are generated from on site shops, e-commerce channels or click & collect services. An article by the UK research group on Logistics and Supply Chain Management stated that the firms who employed wide-ranging in-place pooling techniques saw stock levels reduce by 27% and fulfilment rates rise by 21% (Huang et al. 2020). It has been a driving force that has helped them to achieve better customer experience as well as having an organized running of their operations. Adopting the technology driven techniques largely includes the usage of automated storage and retrieval systems (AS/RS) which is the one key for inventory management perfection. By using the large-scale, computer-operated method they can speed up the process of ordering, taking and delivering stock this thesis improves warehouse's effectiveness and decreases labor fees. The UK logistic sector’s transition to AS/RS, as substantiated by industry expert evaluations, has yielded an average of 25% higher storage capacity utilization and lower operational expenses by 23%, according to them (Huang et al. 2020). In addition, the UK logistics sector stands as a pioneering trailblazer in the adoption of blockchain technology, focusing mainly on supply chain and stock management functionalities. Blockchain, because of its immutable and transparent nature, provides businesses an opportunity to develop tools that are capable of tracking the inventory, reduce fraud risk and facilitate exchange of information between the supply chain partners. There was the latest pilot experiment done last year by a British logistics giant. It is proven that this new type of a blockchain can be used in store management and it reduced the discrepancies by 22% over its conventional equivalent and made visible inventory by 17% (Abu Zwaida et al. 2021). Additionally, the UK logistics industry has been spending huge amounts in training and cooperation program to aid in the blending of these more advanced methods into the established systems. Companies such as Chartered Institute of Logistics and Transport (CILT UK) and the Logistics and Supply Chain Management Research Centre have played the role of the trainer, setting up practices, the industry-wide standards and education platforms that provides the room for more businesses to adapt to these best practices (Shekarian et al. 2022). 11 2.5 Literature gap The literature that already exists defining the current methods of inventory management along with the operations of the supply chain and logistics has a robust and inclusive coverage. Nevertheless, the study experiences a set of points that can be considered as weaknesses. Holding this in mind, with limited emphasis on UK logistics industry. The literature mostly surveys the supply chain and logistics management, there is insufficient evidence that directly address the disparity in inventory management techniques adoption and integration within the UK logistics sector (Ghadge & et al., 2020; Fatorachian & Kajemi, 2021). This specific lack of involving industry in the program thereby retarding the comprehension of those unique atomic challenges and opportunities which UK logistics companies encounter in the process of adopting current supply chain practices. Additionally, there still exist some shortcomings of the literature such as the fact that there are not many research works with specific numerical data. The dominant narratives in these articles are about conceptual architectures and theoretical discussion in their core, but empirical studies or solid figures proving the application and the implementation of the innovative inventory management methods and tools in UK logistics market seem to be rare (Tirkolaee et al., 2021; Arji et al., 2023). This absence of empirical findings hinders the possibility to draw in-depth conclusions and that is consequently a poor basis for officials in the logistics industry of the UK. Also, the literature already out there doesn’t cover the issues and roadblocks that the UK logistics businesses confront when they get into putting up and upgrading of their inventory management techniques. The information given does not focus on the major issue which come as how these systems will be integrated together, the skill gap and the resistance from the organizations to change (Fernie, 2023; Friday et al., 2021). Resolving these practical challenges will not only ignite the adoption of the latest inventory management techniques, but it will also help in the ensuring the industry implementation in the UK logistics sector. 12 Reference List Abideen, A.Z., Sundram, V.P.K., Pyeman, J., Othman, A.K. and Sorooshian, S., 2021. Digital twin integrated reinforced learning in supply chain and logistics. Logistics, 5(4), p.84. Abu Zwaida, T., Pham, C. and Beauregard, Y., 2021. Optimization of inventory management to prevent drug shortages in the hospital supply chain. Applied Sciences, 11(6), p.2726. Altekar, R.V., 2023. Supply chain management: Concepts and cases. PHI Learning Pvt. Ltd.. Arji, G., Ahmadi, H., Avazpoor, P. and Hemmat, M., 2023. Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review. Informatics in Medicine Unlocked, 38, p.101199. Attaran, M., 2020, July. Digital technology enablers and their implications for supply chain management. In Supply Chain Forum: An International Journal (Vol. 21, No. 3, pp. 158-172). Taylor & Francis. Blanchard, D., 2021. Supply chain management best practices. John Wiley & Sons. Centobelli, P., Cerchione, R. and Esposito, E., 2020. Pursuing supply chain sustainable development goals through the adoption of green practices and enabling technologies: A crosscountry analysis of LSPs. Technological Forecasting and Social Change, 153, p.119920. Cigolini, R., Gosling, J., Iyer, A. and Senicheva, O., 2022. Supply chain management in construction and engineer-to-order industries. Production Planning & Control, 33(9-10), pp.803810. Fatorachian, H. and Kazemi, H., 2021. Impact of Industry 4.0 on supply chain performance. Production Planning & Control, 32(1), pp.63-81. Fernie, J., 2023. Relationships in the supply chain. In Logistics and retail management insights into current practice and trends from leading experts (pp. 23-46). CRC Press. Frei, R., Jack, L. and Krzyzaniak, S.A., 2020. Sustainable reverse supply chains and circular economy in multichannel retail returns. Business Strategy and the Environment, 29(5), pp.19251940. 13 Friday, D., Savage, D.A., Melnyk, S.A., Harrison, N., Ryan, S. and Wechtler, H., 2021. A collaborative approach to maintaining optimal inventory and mitigating stockout risks during a pandemic: capabilities for enabling health-care supply chain resilience. Journal of Humanitarian Logistics and Supply Chain Management, 11(2), pp.248-271. Ghadge, A., Er Kara, M., Moradlou, H. and Goswami, M., 2020. The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), pp.669-686. Huang, S., Potter, A. and Eyers, D., 2020. Social media in operations and supply chain management: State-of-the-Art and research directions. International Journal of Production Research, 58(6), pp.1893-1925. Hugos, M.H., 2024. Essentials of supply chain management. John Wiley & Sons. Liu, A., Zhu, Q., Xu, L., Lu, Q. and Fan, Y., 2021. Sustainable supply chain management for perishable products in emerging markets: An integrated location-inventory-routing model. Transportation Research Part E: Logistics and Transportation Review, 150, p.102319. López, T., Riedler, T., Köhnen, H. and Fütterer, M., 2022. Digital value chain restructuring and labour process transformations in the fastâfashion sector: Evidence from the value chains of Zara & H&M. Global Networks, 22(4), pp.684-700. Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H. and Zailani, S., 2020. Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, 12, p.100318. Richards, G. and Grinsted, S., 2024. The logistics and supply chain toolkit: over 100 tools for transport, warehousing and inventory management. Kogan Page Publishers. Rushton, A., Croucher, P. and Baker, P., 2022. The handbook of logistics and distribution management: Understanding the supply chain. Kogan Page Publishers. Shashi, Centobelli, P., Cerchione, R. and Ertz, M., 2020. Managing supply chain resilience to pursue business and environmental strategies. Business strategy and the environment, 29(3), pp.1215-1246. 14 Shekarian, E., Ijadi, B., Zare, A. and Majava, J., 2022. Sustainable supply chain management: a comprehensive systematic review of industrial practices. Sustainability, 14(13), p.7892. Tirkolaee, E.B., Sadeghi, S., Mooseloo, F.M., Vandchali, H.R. and Aeini, S., 2021. Application of machine learning in supply chain management: a comprehensive overview of the main areas. Mathematical problems in engineering, 2021, pp.1-14. Wisner, J.D., Tan, K.C. and Leong, K., 2021. Principles of supply chain management: A balanced approach. South-Western, Cengage Learning. Yadav, V.S., Singh, A.R., Gunasekaran, A., Raut, R.D. and Narkhede, B.E., 2022. A systematic literature review of the agro-food supply chain: Challenges, network design, and performance measurement perspectives. Sustainable Production and Consumption, 29, pp.685-704. Zahraee, S.M., Shiwakoti, N. and Stasinopoulos, P., 2020. Biomass supply chain environmental and socio-economic analysis: 40-Years comprehensive review of methods, decision issues, sustainability challenges, and the way forward. Biomass and Bioenergy, 142, p.105777. 15