Over a thousand new jobs created to fulfil ‘Morrisons on Amazon’ orders

– Roles being advertised focus on picking and packing Morrisons on Amazon orders –

Morrisons is creating over 1,000 permanent jobs to fulfil orders for its services on Amazon.co.uk and Amazon Prime Now.

Morrisons is recruiting the colleagues to help pick and pack customer orders from over 50 stores, covering most major cities and many towns.

Customers are looking for different ways to access grocery home deliveries and Morrisons on Amazon (an Amazon.co.uk service) and the Morrisons Store on Amazon Prime Now (accessible via the Prime Now site and app) provide Prime members with a way of getting free-of-charge same-day grocery delivery. 

Orders are placed on Amazon, before being picked in store by Morrisons employees and packed in a dedicated area. From there, the shopping is collected by Amazon Flex Delivery Partners and delivered to the customer within a two-hour delivery window on the same day.

The ‘Customer Assistant – Pick and Pack’ roles are available in over 50 stores across the country. Successful candidates will work as part of a Delivery team in stores, ensuring that orders are picked and packed correctly and customer service standards are maintained.

Hannah Horsfall, Head of Amazon at Morrisons, said: “At Morrisons, we’re doing everything we can to ensure everyone can order our great value food and have it delivered to their doorstep.

“We’re looking for team players, with good customer service skills that can play their full part in helping to feed the nation.”

All jobs are advertised on the Morrisons Jobs website: https://www.morrisons.jobs/ – search for pick and pack.

University AI technology delivers in troubled times

Foodel app is free for local businesses and charities to use

AN Edinburgh Napier lecturer has created a simple app to help local businesses and charities organise home deliveries during the Covid-19 lockdown.

Dr Neil Urquhart, from the School of Computing, based Foodel on a simple program originally designed to teach students about practical uses of artificial intelligence.

The user creates a file of deliveries which is dropped into the app.  The app divides the deliveries into rounds, and arranges each round in an efficient order. It also produces maps and schedules.

The app has been used by the Leaf & Bean Café in Edinburgh’s Morningside, and Neil is also working with other businesses and charities in a bid to make the technology as user-friendly as possible.

He said: “The routing is driven by artificial intelligence and is based on research carried out here at the School of Computing.

“The app is free to download from www.foodel.info for any organisation to make use of free of charge, and is one of a number of Edinburgh Napier initiatives designed to support our communities through these troubled times.”

Foodel takes its input in a simple spreadsheet and produces GPX and KML files which may be uploaded to maps and GPS devices.

Written in Java, it can be run on Windows as well as Mac OS. It uses Open Streetmap data and GraphHopper for routing, with the rounds organised using a state of the art Evolutionary Algorithm.

Neil said: “It is designed to be easy to use, but I am happy to be contacted at n.urquhart@napier.ac.uk if support is needed.  It is also free to use during the current public health crisis – all I ask is that I get some feedback.”