Member Article

Scores on the doors and in the data as Orderly gets ready to launch real-time insights

Orderly, a technology business based in Derby, with a focus on supply chain social responsibility and sustainability, is launching real-time insights for the food and beverage sector.

The Orderly Score acts as a digital store assistant, using big data and AI from a variety of data sources including POS, labour, inventory and CCTV.

Among a host of features designed to to influence responsibility, reduce waste and increase profit sustainably, Orderly Score includes:

• Temperature and presence sensors for stock availability and automated counting.

• Enriched data comparing with billions of anonymised datapoints from similar stores.

• Transport, weather, lockdown and driver availability.

Orderly anticipates major sustainability savings to be unlocked via better intelligence. This can inform staff when to cease upsells of certain products during busy times (reducing queues and idling cars in drive thrus) or helping to consolidate corporate supplier deliveries in one drop.

Last year, Orderly was revealed as the tech firm behind the heralded Morrisons food boxes platform, which the team built as part of a rapid response to the Covid-19 crisis.

Orderly went on to secure investment from Innovate UK to support businesses that focused on the emerging or increasing needs of society and industries during and following the pandemic.

The new Orderly Score is start of a major movement, according to Orderly CEO Peter Evans:

If you’ve ever worked in hospitality, you’ll probably have heard the phrase “if you have time to lean, you have time to clean!” but is this approach actually useful?

Is it REALLY the best time for them to clean? Would data suggest it is the optimal time to prepare more food instead? What about NOT upselling certain products at certain times? We asked ourselves, what if we could make big data easy to use on even the smallest decisions, from wiping a table to ordering more bread rolls?

The problem is, when big data is too big to be applied, it won’t be. So, we storyboarded a medium-sized chain getting actionable insights from data and using them to create their daily tasks. Crucially, we worked out what would matter to them.

Imagine if they could use weather forecasts to predict sales of certain foods?

What if they could have a virtual ‘secret shopper’ with insights into every single similar chain in their entire country and their trends?

What if they could predict when the next batch of customers would swing open the door?

It might sound like the future, but in fact – it’s here and ready to go at Orderly Score. We hope it may even help with the hospitality employment crisis by creating connectivity between the overall goals of the business and the actionable staff can do to affect change. It’s not solving the whole recruitment issue – but it is skilling the workforce and empowering them.

This was posted in Bdaily's Members' News section by Mac Watson .