Energy, Utilities & Resources /

Water Supply & Treatment

Intelligent Optimisation solutions

for water companies

New changes to regulated water companies, and the advent of Water 2020 has placed increasing pressure on companies to increase customer service levels whilst dealing with increasing water demand. Leak mitigation and minimisation and prioritisation of field teams requires advanced planning solutions that can cope with a large array of constraints and competing business requirements. How does a water company maintain existing costs of doing business whilst delivering more to customers and regulators?

Zero Friction optimisation solutions that delight customers

Optimising and planning resources to deal with the multiple facets of water supply requires a centralised planning solution built around people, process, data and technology. toc provides planning solutions to the water sector that deals with the very unique requirements placed upon this industry. Technology that deals with a vast array of industry specific constraints - such as work permits, resource utilisation and intelligent prioritisation of work. Optimising plans to meet KPIs, allowing the reprioritisation of KPIs to deal with environmental factors such as weather and shifting priorities is key. toc provides a full toolbox of tech and expertise to achieve truly remarkable value.

Production Planning

Optimise your production resources to achieve high throughput, low inventory costs and satisfy customers

Workforce Scheduling

Manage the scheduling of workers taking into account shift patterns, skills matrices, multi team planning & more

toc Optimisation Platform


Decision Support

Planning systems are more than algorithms - our tech can apply AI learning to support operator decision making


IoT Aware Planning

Deploy remote telematics devices and integrate existing IoT data into planning algorithms


Centralised Planning

Coordinate geographically separate locations for depot based allocation and planning of work


Capacity Planning

Understand what level of capacity is required in order to fulfil known and simulated demand requirements

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