We help our customers transform commerce & industry through complex, autonomous algorithms.



The classic dashboard of how efficiently a system is running is eminently achievable now on much smaller systems thanks to AI and smart algorithms in conjunction with low cost sensors. The benefits are transformational: reduced waste, deliver optimum quality product to the consumer, predict problems, minimise downtime. It can also enable new revenue streams and service models.


For example, for a system that delivers beer from a keg in the cellar to the tap on the bar – applying sensing and connectivity to the system provides benefits to all users:


  • The consumer - (great tasting beer, customisation of taste, personalisation, opportunity to engage with the beer brand via connected ecosystem e.g. more info, hop types, other beers like it)
  • The brewery - (consumption insight data, ensure optimum product quality, minimise downtime)
  • The pub owner - (minimise downtime, reduce waste, provide new revenue streams)

The key challenges to unlocking these benefits are:


  • Selection of the most appropriate sensors for the job – clever use of low cost sensors to infer system condition (flow, temperature, valve status, contamination)
  • Design of smart algorithms and AI to deliver meaningful insight from partial, low resolution and woolly data sets.
  • System design integration – getting novel systems working reliably alongside existing systems – sensors sending the right data to the right place, minimising power consumption, getting data out of the system.
  • Wireless comms – whether it’s between sensors and processing to simplify the install, or comms to transfer data back to head office - the system needs to be designed for the environments in which they’ll be deployed by taking account of use cases, interference, future proofing and interfacing systems.

Often, the infrastructure deployed in these retro-fitted systems can open up the potential to provide system users with new positive experiences. This approach can also be used to overhaul legacy systems which haven’t delivered on their promise, become complex to manage and are providing frustration and friction for users.


A case study of how this can be applied is outlined in the infographic below – describing how breweries can benefit by offering additional services through digital technologies wrapped in innovative services enabled by data analytics and algorithms.


 


 

Author
Iain Smith

Iain has 9 years of experience in the field of user centred design & research, systematic innovation process, mechanical engineering design and user requirements capture/elicitation.