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Peak
Overview
HQ Location
United Kingdom
Year Founded
2014
Company Type
Private
Revenue
< $10m
Employees
51 - 200
Website
Twitter Handle
Company Description
Peak offers a Decision Intelligence platform that doesn’t just deliver models, it delivers results. It is a single platform that can help you rapidly deploy multiple AI-powered solutions on a single platform. It takes you all the way from siloed data and systems, to putting AI in the hands of commercial decision makers. It is built to empower you to make superhuman decisions, all the time.
IoT Solutions
AI is powering modern manufacturing
Forward-thinking manufacturers are leveraging data with AI to drive success.
What can it do for manufacturers?
Peak’s pioneering approach to AI for manufacturing is focused on delivering tangible outcomes for your business.
- Predict demand
Improve your forecasting to predict demand with a higher degree of accuracy
- Optimize inventories
Reduce the amount of stock and raw materials you hold to save cash, whilst still fulfilling demand
- Reduce wastage
Increase efficiency by reducing unnecessary wastage and positively impacting your carbon footprint
- Connect business systems
Gain a unified, end-to-end view of your entire business, leveraging data from across the value chain
- Enhance existing infrastructure
Peak’s AI System is a “layer of intelligence” sitting over your existing systems, so there’s no need to rip and replace
Forward-thinking manufacturers are leveraging data with AI to drive success.
What can it do for manufacturers?
Peak’s pioneering approach to AI for manufacturing is focused on delivering tangible outcomes for your business.
- Predict demand
Improve your forecasting to predict demand with a higher degree of accuracy
- Optimize inventories
Reduce the amount of stock and raw materials you hold to save cash, whilst still fulfilling demand
- Reduce wastage
Increase efficiency by reducing unnecessary wastage and positively impacting your carbon footprint
- Connect business systems
Gain a unified, end-to-end view of your entire business, leveraging data from across the value chain
- Enhance existing infrastructure
Peak’s AI System is a “layer of intelligence” sitting over your existing systems, so there’s no need to rip and replace
IoT Snapshot
Peak is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the construction and infrastructure, consumer goods, and retail industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Peak’s Technology Stack maps Peak’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
Creating an Unrivaled Customer Experience with AI: A Case Study on Eurocell
Eurocell, the UK’s leading manufacturer, distributor, and recycler of UPVC window, door, conservatory, and roofline systems, faced a challenge in harnessing their vast amounts of data to provide customers with an unrivaled customer experience. They aimed to fully personalize every single customer touchpoint, improving their understanding of their customers and how they communicate with them through their digital channels and branch teams. This need intensified during the COVID-19 pandemic as their e-commerce sales rapidly increased. They recognized that artificial intelligence (AI) could empower them to deliver on their strategic goal, but needed help distinguishing between their diverse customer-base in their SAP data, and understanding how their data could be used to create AI models.
Case Study
Transforming Inventory Management with AI: A Case Study on Speedy Hire plc
Speedy Hire plc, a FTSE-listed equipment rental and support services provider, faced a significant challenge in managing its complex network of 3,500 products across 200 depots in the UK. The company's commitment to excellent customer service meant always having the right products available whenever and wherever customers needed them. This was a complex task due to the variety of products, from simple cut-off saws to lighting towers, and the need to forecast not just one-off sales but also the likely duration of hire and expected product condition on return. Furthermore, Speedy had committed itself to a four-hour delivery and collection promise, adding another layer of complexity to its operations.
Case Study
Driving Sales Growth with AI: A Case Study on Regit
Regit, formerly known as Motoring.co.uk, is the UK’s leading online service for drivers. The company faced a significant challenge in predicting which of their 2.5 million users were likely to change their vehicle and when. This information was crucial for the company to serve their customers in a more personalized and targeted way. The company operates by generating leads for companies in the automotive industry by providing a platform for people to book test drives, buy and sell cars, and request brochures, among other services. However, they were unable to predict which of their users were likely to change their vehicle, or even know who had changed their vehicle until after it had happened. This lack of predictive capability was a significant barrier to increasing their call center revenues.
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