Fleet Management is an interesting theme in 2026. Rising fuel costs, driver shortages, tightening emissions regulations, and growing customer expectations for real-time delivery visibility are placing fleet operators under pressure from every direction. Organisations running vehicles - whether a handful of service vans or thousands of HGVs - are increasingly looking to technology to drive efficiency, ensure compliance, and reduce total cost of ownership. This guide covers the

Supply chain planning has rarely been under more scrutiny than it is in 2026. The disruptions of recent years - from pandemic-era demand shocks to geopolitical instability affecting sourcing and logistics - have exposed the fragility of planning processes built on static models, annual cycles, and spreadsheet-driven assumptions. The organisations that came through those disruptions best were those that could sense change early, model scenarios quickly, and replan at a speed t

Getting demand wrong is expensive in both directions. Too much inventory ties up working capital, drives markdown exposure, and fills warehouses with stock that erodes margin. Too little means lost sales, emergency freight costs, and customers that go elsewhere and do not always come back. For most businesses, the gap between what their demand planning process can reliably predict and what the market actually does has widened in recent years - driven by supply chain volatilit

Managing shift-based, hourly, and deskless workforces is difficult. Labour costs are under pressure, scheduling rules have multiplied, employee expectations around flexibility have risen sharply, and the consequences of getting it wrong - missed shifts, compliance breaches, or high attrition - are felt immediately on the operational bottom line. If you are running a retail estate, a care organisation, a logistics operation, or any business that relies on large numbers of fron

Retail has always been a margin game - but AI is changing the rules of how those margins are won and lost. From demand forecasting that learns from thousands of signals in real time, to personalisation engines that adapt every customer interaction individually, to autonomous pricing that responds to competitor moves in minutes rather than days, artificial intelligence is no longer a future investment for retailers - it is becoming the baseline requirement for competing effect

Managing the movement of goods - from supplier to warehouse to customer - has never been more exposed to disruption. Geopolitical instability, carrier capacity volatility, rising customer expectations for same-day fulfilment, and the ongoing reconfiguration of global supply chains have placed logistics technology at the centre of operational strategy for manufacturers, retailers, 3PLs, and distributors alike. In 2026, AI-driven route optimisation, real-time visibility across

You cannot manage what you cannot see - and for most large organisations, the honest answer is that significant stretches of their supply chain remain invisible. Purchase orders leave the ERP and enter a black box of carriers, forwarders, ports, and third-party logistics providers. Shipments are late before anyone knows to act. Disruptions compound because the first signal arrives too slowly. Customer promises are made without confidence that the underlying supply chain can k

Manufacturers, energy companies, and asset-intensive businesses are under mounting pressure to do more with less - reduce unplanned downtime, improve yield, cut energy consumption, and accelerate decision-making across complex operations. Industrial AI software has emerged as the category that promises to deliver on those goals, moving beyond traditional process control and historian tools to embed machine learning, predictive analytics, and generative AI directly into operat

If you run a business with somewhere between 100 and a few thousand employees, you already know the tension: your processes have outgrown spreadsheets and bolt-on tools, but you are not ready - or willing - to invest the time and cost that comes with a full-scale enterprise ERP deployment. The mid-market ERP space has never been more competitive, and 2026 is a pivotal year - AI-powered automation is being embedded into core finance, supply chain, and HR processes, and vendors

Supply chain teams are under more pressure than ever to plan accurately, respond to disruption fast, and do more with leaner resources. The tools that got businesses through the last decade - spreadsheet-driven planning cycles, legacy APS systems, and manual exception management - are struggling to keep pace with the speed and complexity of modern supply chains. AI is changing what is possible in supply chain management. A new generation of platforms uses machine learning, re

For organisations that deploy engineers, technicians, or service teams into the field, the gap between what customers expect and what legacy systems can deliver has never been wider. First-time fix rates, same-day or next-day response windows, real-time engineer tracking, and proactive maintenance driven by asset data - these are no longer premium differentiators, they are baseline expectations in most B2B service contracts and an increasing number of consumer service markets

If your business is still managing stock on spreadsheets, or your current system cannot keep pace with multi-channel demand, omnichannel fulfilment, or supplier volatility, you are not alone - and 2026 is the year many organisations are finally drawing a line under the problem. Inventory management has moved from a back-office operational concern to a board-level priority, driven by the combined pressure of rising carrying costs, customer expectations for same-day availabilit

Pharmaceutical organisations run some of the most complex and compliance-intensive technology environments in any industry. From clinical trial management and regulatory submissions through to GMP manufacturing execution, quality management, and serialised supply chain, the software stack that keeps a pharma business operating and compliant spans a wide range of specialist platforms - each with its own regulatory expectations, validation requirements, and integration dependen

This post provides an independent overview of the leading supply chain planning software vendors available to enterprise and mid-market buyers in 2026. It is designed to help IT and operations leaders understand the market, identify the right candidates for evaluation, and move quickly toward a shortlist. Viewpoint Analysis is a Technology Matchmaker: we help businesses find and select technology fast, and help IT vendors to get found by the right buyers. What is Supply Cha

Transport and Logistics Management Software covers a broad category of platforms designed to plan, execute, track, and optimise the movement of freight and goods - whether that is across a local delivery fleet, an international ocean freight operation, or a complex multi-modal supply chain. This guide provides an independent overview of the leading platforms available to UK and international enterprise buyers in 2026. If you are currently assessing vendors in this space, the

The supply chain and operations technology spans everything from warehouse management and inventory control to route planning, demand forecasting, procurement, and AI-powered decision intelligence, it is a landscape where the right platform choice can deliver significant competitive advantage - and where the wrong one can compound operational problems for years. In 2026, the market is being reshaped by three converging forces. AI is beginning to deliver genuine operational va

What is a Manufacturing Execution System? A Manufacturing Execution System (MES) is software that connects the business and production layers of a manufacturing organisation. It sits between enterprise systems such as ERP and the equipment or control systems on the factory floor. Its role is to monitor, track, and control the transformation of raw materials into finished goods in real time. In simple terms, an MES turns production data into actionable insight. It provides the