Insight
Digital Twins and Simulation: how to optimise supply chain logistics
Razor is a technology partner to DB Cargo UK, the UK's largest rail freight organisation.
Manufacturing Digital Transformation
Industry 4.0 raced ahead.
But did it stick?
Trusted By Forward-Thinking Manufacturers
Why Do 70% of Smart Factory Digital
Transformations Fail?
According to industry analysis [1], 70% of digital transformation initiatives fail to reach their stated goals because they prioritise technology over process and people. Success requires orchestrating operations with AI rather than simply adding more automation to disconnected systems.
For a decade, the manufacturing sector was sold a dream: connect everything, and efficiency will follow. However, sensors and data lakes alone did not resolve systemic inefficiencies. The reality is that technology raced ahead while processes and the workforce struggled to adapt. Operations became starved for data, only to subsequently drown in noise.
- Pilots multiply, but few scale. Only 16% of manufacturers maintain real-time visibility across their operations [2].
- Data is collected but rarely connected. Operators are flooded with ambiguous alarms and forced to differentiate between symptoms and root causes.
Industry 5.0 resolves this by integrating human expertise with technical capability, particularly as the "Silver Tsunami" threatens to walk decades of tribal knowledge out the door. We recognise that accurately diagnosing the operational bottleneck constitutes 50% of the solution.
"The mandate for survival isn't about buying more automation; it’s about capturing expertise before it retires. We must stop viewing technology as a replacement for the workforce and start using it to give them superpowers."
- Jamie Hinton, CEO of Razor
"Razor didn't just give us software; they partnered with us to fundamentally change how we use data on the shop floor, removing friction and driving massive efficiency gains."
Darren Cork
Head of Digital Transformation, Gripple
Authoritative Citations & References
- Transformation Failure Rate: "70% of digital transformation initiatives fail to reach their stated goals." - McKinsey & Company, "Unlocking success in digital transformations"
- Operational Visibility: "Only 16% of manufacturers actually have real-time visibility across their operations." - LNS Research, "Manufacturing Operations Management (MOM) and Real-Time Visibility Analytics"
The Solution
How Can Manufacturing Leaders Build True Operational Intelligence?
Operational intelligence is achieved by utilising a unified AI platform, such as DataQI, to synthesise fragmented factory data into a cohesive narrative. This ensures that actionable insights are accessible to stakeholders from the shop floor to the executive board.
How Does AI Streamline Production and Asset Management?
Artificial intelligence streamlines production by providing edge-to-cloud integration with PLCs and CNC controllers. As demonstrated in Razor's deployment of Azure Digital Twins for Gripple, unifying static data with real-time extraction enables continuous monitoring of Overall Equipment Effectiveness (OEE), providing true operational visibility and empowering operators to manage workflows with precision.
How Do Preventative Maintenance Systems Eliminate Unplanned Downtime?
AI agents detect micro-deviations in machine behaviour before failure occurs, shifting maintenance from reactive to predictive. By identifying anomalies before critical failure, maintenance teams execute prescribed, data-backed resolutions rather than chasing ambiguous alarms. Industry benchmarks indicate that predictive maintenance programmes can reduce unplanned downtime by up to 50%.
How Can Manufacturers Ensure Commercial Precision and Accurate Forecasting?
Manufacturers achieve commercial precision by extending live production visibility directly into commercial workflows. Unifying ERP and CRM data creates a predictive pricing AI engine that aligns the sales team with shop floor capacity. This integration guarantees that sales quotes and production schedules accurately reflect real-time operational capacity, thereby protecting profit margins.
How Can AI Preserve Institutional Memory and Accelerate Onboarding?
As the "Silver Tsunami" threatens decades of tribal knowledge, AI preserves institutional memory by ingesting technical manuals, maintenance logs, and SOPs into a centralised, queryable knowledge base using advanced NLU and LLMs. Operators can ask natural language questions and receive instant, verified answers, directly mitigating expertise loss and accelerating new staff onboarding.
How Can Enterprise Manufacturers Implement Secure and Distributed AI?
Enterprises implement secure AI by leveraging confidential computing architectures, establishing zero-trust environments for industrial data. This enables the deployment of autonomous Agentic AI tailored to proprietary data without compromising intellectual property or enterprise security.
How Can Manufacturers Visualise the Heartbeat of Production?
Implementing a predictive model ensures continuous production and allows organisations to visualise the heartbeat of their production with real-time data and instant alerts. By migrating to robust, cloud-native architectures, manufacturers completely transform operational visibility.
Solving the Real Problems
How Do We Address the Challenges That Impact Your Bottom Line?
We don't believe in AI for AI's sake; we believe in closing the gap between what is technically possible and what drives commercial value.
01
Why Is Reactive Maintenance a Productivity Killer?
By the time a machine halts, critical damage has already occurred. Reactive maintenance fundamentally limits productivity by forcing operations into costly, unplanned halts. By shifting to a predictive model where AI agents detect micro-deviations, organisations transition from reactive firefighting to scheduled, data-backed maintenance resolutions.
We shift you to a predictive model, where AI agents detect micro-deviations in machine behaviour before they become failures. The result is a maintenance team that stops chasing ghosts and starts solving problems with prescribed, data-backed resolutions.
02
How Does Disconnect Destroy Organisational Trust?
When commercial teams quote lead times based on static spreadsheets while production actively manages breakdowns, you overpromise.
Unifying ERP and CRM data creates a predictive pricing AI engine that aligns the sales team with shop floor capacity. We extend live production visibility into your commercial workflows, ensuring quotes and schedules reflect actual capacity.
03
Why Is Tribal Knowledge Your Most Valuable Asset?
The undocumented heuristics locked in the heads of long-tenured engineers walk out the door when they retire.
We use advanced NLU and LLMs to structure this technical knowledge. We ingest manuals, logs, and SOPs, allowing any operator to ask natural language questions and receive instant, verified answers-preserving expertise and accelerating onboarding.
Making AI Work for Your Organisation
How Can Manufacturers Elevate Efficiency and Growth With AI-powered Tools?
When executed well, AI & Data combined with Automation can supercharge your people. Access our latest engineering case studies, whitepapers, and technical specifications tailored precisely for manufacturing leaders.
How Can You Access the Manufacturing Intel Pack?
Secure immediate access to our 5 most powerful manufacturing strategy documents. Critical insights designed exclusively for technical buyers and engineering leadership.
01 The Silver Tsunami
02 AI Buyer's Guide
03 Computer Vision Models
04 Connected Organisations
+ What Every CEO Needs to Know About AI
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Ben Morgan
CEO - Advanced Manufacturing Research Centre
"When the CEO rings me and says, ‘We thought we could do it 20 times quicker but have worked out a way to process it 4,000 times quicker’ that’s when you know you have partnered with the right guys."
Darren Cork
Head of Digital Transformation - Gripple
"Working with Razor was more than a business transaction, hearts and minds together we took on a challenge and transformed this core process in our company. The Razor team are endlessly curious and it’s been a fascinating and brilliant journey together."
Steven Price
Head of Manufacturing Strategy - Forgemasters
"As we continue to invest heavily in our new plant and manufacturing infrastructure, the transformation from existing ways of doing things, to ensure that we fully embrace the future, is being made. The partnership with Razor will play an important part in this transition, ensuring that we position ourselves for the future, without losing any of our inherent capabilities."
Jackie Griffiths
Rolls-Royce
"I can confirm we’ve been really happy with the support that we’ve had from the Razor team and the product that you have delivered will allow a step-change in our capability. This is the first time we have taken this collaborative approach and the combination of the AMRC and Razor together seems to have worked really well. The amount of effort and passion that’s gone into this project from your team has been evident throughout and I’d be happy to recommend you for future projects."
Dave Tudor
Continuous Improvement Manager - Prima Dental
"From the outset, working with DataQI and Razor has felt far more like a true partnership than a traditional supplier relationship... Throughout our transition into automating OEE and quality inspections, both teams have been exceptional. They invested time in understanding our operation, our people, and our improvement journey, rather than applying a generic solution."
Ryan Diver
Director of Data - AMRC
"This project was a true meeting of minds. By collaborating with Razor, we didn't just solve a technical challenge; we unlocked a new way of thinking. They helped us bridge the gap between ambitious sustainability goals and the interactive tools needed to make them a reality."
Exclusive Tool
Manufacturing AI Readiness Assessment
Designed specifically for the manufacturing sector. Find out how ready your factory floor is for AI, and get actionable guidance on how to move forward.
Step 1 of 6
Your Next Move
How Are We Transforming Organisations with AI and Data?
We don't believe in AI for AI's sake. We believe in closing the gap between "what's possible" and "what works." Here is how we create your unfair advantage:
Client Success
How Are Manufacturing Leaders Outpacing the Competition?
Discover how your peers are already leveraging our solutions to transform their operations.
Predictive Pricing Models
Discover how Razor built a bespoke predictive pricing AI engine for a UK manufacturer. By consolidating fragmented ERP and CRM data, we deployed dynamic pricing models that protect a minimum 15% net profit margin and accelerate quote-to-order cycles.
Manufacturing AI Purchase Order Automation
Razor deployed a computer vision and NLU pipeline that autonomously classifies, extracts, and routes inbound purchase orders for a UK manufacturer - including real-time Terms & Conditions change-detection - with zero manual data entry on standard orders.
Global Strategic Data Platform
Learn how Razor built a centralised Azure Data Factory data warehouse for Gripple - connecting 15 global locations into a single source of truth and enabling automated, drag-and-drop data pipelines for their marketing and sales operations.
Manufacturing Efficiency with Digital Twins
See how Razor built a DataQI Insights manufacturing platform for Gripple using Azure Digital Twins - enabling real-time OEE tracking, predictive maintenance, and live asset management across global factory sites.
Digital Transformation for Manufacturers
See how Razor consulted with five manufacturers across South Yorkshire and Wales for the AMRC NextGen initiative - delivering a real-time data dashboard and digital maturity roadmaps to accelerate low-cost digital adoption.
Global Energy Demand Prediction
See how Razor migrated TotalEnergies from a slow, non-scalable architecture to a cloud-based Azure Databricks MLOps platform - enabling parallel machine learning workloads and accurate energy demand forecasting across 130 countries.