Team building

We would like to introduce the new recruits to our team.

As an QSR, coffee and convenience chain analytic, insight and promotion business, our products and services are based on data gathering, cleaning, analysing and reporting we employ skilled data scientists and informatics designers to help you gain insight and visibility into your data.

Dr Niaz Chowdhury, PhD our AI Lead is building our team with talented individuals.

Store Performance has partnered with Kings College London, to provide DOE insights and expertise for its InnovateUK co-funded SAM Artificial Intelligence (SAM AI) project that adds machine learning to the analysis of in-store promotion at scale. SAM AI allows “active experimentation” across an entire estate to deliver the right message with the right copy at the right time on a site-by-site basis.

The application of DOE in combination with SAM AI advanced machine learning offers a uniquely effective way of turning insight into action by optimising promotional activity in store.

We feel very fortunate that we have enlisted Professor Steven Gilmour, Head of Department of Mathematics and Professor in Statistics and Dr Kalliopi Mylona, Lecturer in Statistics to help us with this task.

Nathan Judd MSc BSc joins as an Informatics Scientist with his comprehensive background in Mathematics and Statistics will be working alongside Professor Gilmour and Dr Mylona within our team.

Amer Karem MSc BSc and Rejwan Bin Sulaiman MSc BSc join the team as Data Scientists with the remit to build the platform and machine learning to collect and analyse multiple with both the Design of Experiment and Machine Learning methodologies to provide insight and action for our multi-unit food customers.

We welcome our new team members and are very excited about the value

Kings College London 

King’s College London is an internationally renowned university delivering exceptional education and world-leading research. King’s is ranked in the top 10 UK universities in the world (QS World Rankings 2020) and based in the heart of London. With nine faculties, institutes and schools King’s is a public research university producing 14 Nobel Laureates and is a founding college and member institution of the federal University of London. 

Professor Steven Gilmour 

Head of Department of Mathematics (Professor in Statistics King’s College London) 

Professor of Statistics at Queen Mary, University of London from 2004-10, and Professor of Statistics in the School of Mathematical Sciences and the Statistical Sciences Research Institute at the University of Southampton from 2010-16. He joined King’s College London as Professor of Statistics in the Department of Mathematics in 2016. 

Steven Gilmour’s research is mostly on the statistical theory, methodology and applications of the design and analysis of experiments. Much of his research is on experiments with complex treatment structures, such as those with many variables (factorial designs), those with continuous levels (especially leading to nonlinear models) and those with several continuous variables (response surface methodology). 

Dr Kalliopi Mylona 

Lecturer in Statistics King’s College London 

Prior to Kalliopi Mylona’s appointment at King’s College London as a Lecturer in Statistics, she worked at Carlos III University, in Madrid, as a CONEX-Marie Curie Fellow of Statistics. Before that she was a Lecturer in Statistics within Mathematical Sciences at the University of Southampton, UK, after finishing her fellowship as a Marie Curie Postdoctoral Fellow in the Faculty of Applied Economics at the University of Antwerp, Belgium. 

She holds a Master of Science degree in Applied Mathematical and Physical Sciences from the National Technical University of Athens in Greece and obtained a PhD in Statistics from the same university in 2009. 

Customer expectations of supermarkets, convenience and food service in the “new normal”

Understanding customers new choices and expectations as the country opens post lockdown is a challenge. Much has changed, some of it may stick, some of it may not. Pent up demand is a step on the way to a revised customer expectation, experience and volume over the coming months.

It has never been more important to impress your customers.

  • If your loyal customers have a poor experience against there new expectations, will they return?
  • Will new customers enjoy your experience in comparison their lockdown experience or your competitors?

Here we explore some of the experience of the past year, some predictions going forward and the need to provide a safe, friendly measured experience to your customers.

Good communication of your cleanliness standards combined with good understanding of your customers changing needs post-lockdown will provide a solid base in the “new normal” but understanding and reacting to changing demand will provide a boost and a platform for future growth.

Experimentation

Shoppers have been experimenting with 136 million additional meals at home each week against pre-lockdown. This has brought experimentation with a third of house adding a dish to their weekly shop.

91% of shoppers said they intend to continue cooking at home with 58% siting cost saving and 58% offering potential health benefits as a reason.

Healthy Eating

More shoppers have turned to healthy eating in response to the pandemic over concerns of the virus and evidence obesity could increase the risk of death or serious illness, and 81% want to eat more healthily.

Plant based meals were up 46%, whilst vegetarian meals were up 25% with 35% consuming more fruit and 33% more vegetables. In addition, food that claim to improve energy levels, gut health and sleep will gain ground this year.

As consumers have enjoyed cooking their own food, convenience foods, such as pizzas have declined by 1.1% and chilled, prepared food by 3.6%.

Sweets have fared better but are expected to suffer post-pandemic as healthy eating is promoted by government.

Customer Experience & Safety

Even within current restrictions, customers are venturing further afield with supermarkets including Tesco, Sainsbury, Waitrose, Morrisons and Asda and being a key destination. Shoppers are prioritising convenience and safety over everything else and are looking for a confident and safe return to shopping where cleanliness of the store (91%) is as important as variety of product range, communicating this effectively will be key to success past lockdown.

People, even those who are vaccinated, are looking for a demonstrably clean environment. They are looking for less people rather than more. They want to know your busy and quiet times. They want to know how busy you are now.

Localisation

Convenience grew by £3.8bn (9.2%) as consumers stayed close to home and avoided larger stores. Shoppers spent an extra 63.3% at food and drink specialist stores such as butchers, greengrocers and bakeries in February compared to the same month last year, with almost two thirds (64%) of Brits choosing to shop closer to home over the past 12 months.

91% of shoppers say they will keep shopping locally to support local and independent businesses post pandemic. Work from home will continue to offer opportunity during the day for home fatigued customers to indulge themselves in a different environment.

Online Groceries, Deliveries, Meal Boxes and “Branded products”

2020 added more new online shoppers as the previous 5 years combined. In February 2021, online grocery is 115.2% up with the over 65s having increased their spend by 332.5%. Having overcome the barriers to entry, 57% of shoppers expect to continue to use online delivery with 39% of people plan to buy all of their groceries in-store

Subscription boxes from Hello Fresh, Mindful Chef, Gousto and other providers have increased as consumers wanted to try new food and experiment more.

During the pandemic, restaurant deliveries have grown 350% driven by over 45s redirecting spend from eating out. 75% of consumers expect to buy as much or more takeaways when restrictions are lifted.

Just Eat, Deliveroo and Uber Eats have all experienced growth and many consumers will continue to use these services in the future.

Brands including Leon, Pret a Manger, Zizzi, Startbucks and Côte Brassiere have expanded their in-store product, opening new channels for their businesses.

Moving forward

Inevitably there have been winners and losers during the pandemic and the overall food and drink market has shrunk by 12%. Many consumers have replaced the “Eat Out” experience with higher quality, branded goods.

Whilst the main supermarkets have prospered, discounters including Aldi and Lidl have had subdued growth due to lack of online presence. 39% of shoppers have spent more rather than 15% spending less on their groceries.

The increase in groceries sales will inevitably decline as the country opens up more and we return to a more normal life. Much of the growth is fuelled by over 35s with under-30s spending 40% less per person and 30% less per household.

All change

As we have discussed there have been many positive and negative changes over the past year, many of which will stay and many will fall away. The grocery stores, categories and products that have benefited most will need to use the additional momentum to move secure their position in the market.

Competition for “share of stomach” will be fierce as consumer behaviour changes again and settles in to the “new normal” where supermarkets, convenience, restaurants, fast food, casual dining and coffee outlets compete for loyal and new customers in an ever-changing environment.

It has never been more important to provide excellent customer experience based by comprehensive data and analysis that is turned into insight and actioned in-store.

Store Performance

Real time in-store promotion experts formed to help Quick Service Restaurants, Coffee and Convenience Chains improve their Customer Experience using the latest digital technology.

We can provide the expertise, software, equipment and installation to roll out scaled out measurement and analysis across your estate.

Our Store Analysis Machine (SAMTM)is an in-store service that measures, monitors and captures data from multiple sources, and then analyses the data to promote product in and out of the store.

We are developing Store Analysis Machine Artificial Intelligence (SAM AITM) is an ‘always learning’ solution that combines multiple data insights to produce optimal promotion in each store. This is an Innovate UK co-funded project.

How can we help you with your multi-unit business?

References:

https://www.thegrocer.co.uk/consumer-trends/lockdown-anniversary-how-has-covid-changed-uk-eating-and-shopping-habits/654335.article

https://www.bighospitality.co.uk/Article/2021/02/17/The-unstoppable-growth-of-delivery-in-the-restaurant-sector-Deliveroo-Just-Eat-Uber-Eats

https://marketingweek.com/casual-dining-supermarkets-zizi/

Growth through dine-in customer experience.

Welcome back.

As beer gardens, self-catering accommodation, and festivals are all selling out, it would be wise to look at dine-in for growth as restrictions ease and other digital channels become less relevant.

With £50 billion to spend, and  28% of people anticipate increasing their spending in restaurants and cafes this year1, focusing on the customer experience will be key to attracting, retaining and growing your base post CoVid.

Localism

People are looking to support their local businesses, the ones that have been there for them during the pandemic, the ones that source their produce locally and employ within their city, town or village. Work from home will continue to offer opportunity during the day for home fatigued customers to indulge themselves in a different environment.

Safety

People, even those who are vaccinated, are looking for a demonstrably clean environment.

A recent OpenTable survey2 showed 79% want increased sanitation, 52% socially distanced tables, 45% want to limit capacity, 40% want you to offer contactless payment, 39% want you to communicate safety preferences & offer contactless menus and 38% want staff to wear PPE.

Experience

Many people are looking forward to meeting family, friends, colleagues and customers as lockdown eases.

Dine-in is looking to return to 35% post CoVid according to a Simon-Kucher & Partners3 survey in the US with in-store pickup, drive-thru, curbside and delivery reducing from CoVid peaks.

The top 5 items in the in the same survey are taste of food, food quality, restaurant cleanliness, sanitation standards & previous positive experience.

Pent up demand will lead to busy restaurants in the near term with the need to retain and encourage customers in the medium term.

In-store digital promotion

Measurement in-store, across your estate, is more important than ever as you open up and discover how your old and new customers behaviour has changed. Footfall, occupancy, dwell and flow can help you understand your buying customers, walk-aways and passing trade.

Your current investment in digital menus, kiosks, in-window, brand and drive thru displays can be maximised in these difficult times to provide competitive advantage by designing your messaging to reflect system wide, situational and contextual needs of each site.

Scheduled messaging

To reassure customers, regular safety signaling regarding your store sanitation standards, employees sanitation routines & customer CoVid compliance expectations should be built into your in-store messaging.

Situational messaging

Offering current occupancy levels & wait times alongside location specific data will help you store be more welcoming, modern and most importantly, safe to visit in the mind of your customers.

Contextual messaging

Your local suppliers, charities, community involvement and information should be bought to the fore.

Showing promotions and messaging regarding local events and responding to weather increases your customers understanding of your store and how it sits in your community.

Store Performance

Real time in-store promotion experts formed to help Quick Service Restaurants, Coffee and Convenience Chains improve their Customer Experience using the latest digital technology.

We can provide the expertise, software, equipment and installation to roll out scaled out measurement and analysis across your estate.

Our Store Analysis Machine (SAMTM)is an in-store service that measures, monitors and captures data from multiple sources, and then analyses the data to promote product in and out of the store.

We are developing Store Analysis Machine Artificial Intelligence (SAM AITM) is an ‘always learning’ solution that combines multiple data insights to produce optimal promotion in each store. This is an Innovate UK co-funded project.

How can we help you with your multi-unit business?

Click Here

1 Brits set to splash the cash as the release of lockdown savings could lead to an extra £50bn of consumer spending

2 What diners expect during the holidays and into 2021

3 Guests Will Spend Twice as Much with Clean Restaurants

3a Recent Study Reveals that Restaurants’ Sanitation Standards Now Influence Consumer Purchase Behavior More Than Price of Menu Items

Store Performance welcomes DTN as weather partner for its SAM AI project

Weather context drives in-store digital promotion.

Weather influences consumer behaviour. Weather insight drives demand planning to ensure fast food, coffee and convenience stores have the right product available at the right time for their consumers. However, weather changes constantly and much in-store promotion is seasonal, estate wide and scheduled.  This is because delivering contextual weather promotions at scale, in-store is complex.

Store Analysis Machine (SAM) was created to solve this problem by triggering contextual promotions based on current weather, event, demographic and other data sources on in-store digital menus, kiosks, or drive-thru menus in each site.

Store Performance has partnered with DTN, a leading data, analytics and technology company, for its InnovateUK co-funded SAM Artificial Intelligence (SAM AI) project that adds machine learning to the analysis of in-store promotion at scale. SAM AI allows “active experimentation” across an entire estate to deliver the right message with the right copy at the right time on a site by site basis.

Store Performance is looking for participants in the customer discovery phase of this project, details of the project and an application form can be found at https://bit.ly/samaip001

Tim Butler, Director Store Performance said “DTN is the gold standard in real-time weather analytics. We are excited to add this capability to SAM and SAM AI project. Allowing hospitality operators to flex their promotions around current weather conditions should optimise their revenues as the doors re-open.”

“At DTN we are committed to providing operational intelligence to support confident decisions,” said Marc Chesover, DTN President. “In this instance, we are providing our weather intelligence, through radar and point forecast solutions, to help Store Performance’s customers make timely weather-based decisions that can help increase revenue.”

Help shape contextual in-store promotion that will boost dine-in revenue in 2022

As we move out of lockdown and more dine-in options become available to guests, a chance to optimise their experience through contextual digital menus and promotions is now available for fast food, coffee, or convenience chains through Store Analysis Machine (SAM).

Contextual promotion driven by weather, events and other data sources has been seen to be more welcoming, modern, current and of better quality, and can help you optimise your promotions and thus revenue across your estate.

In addition, Store Performance are developing Store Analysis Machine Artificial Intelligence (SAM AI) that will be an ‘always learning’ solution that combines multiple data insights to produce optimal promotion in each store utilising your current investment in digital menus, kiosks and drive-thru.

Store Performance has won a Innovate UK smart grant to develop SAM AI and has gathered an exciting team of academic, data and industry partners to deliver this project.

To help shape this product, they are now recruiting system owners and their franchisees marketing & operations specialists to take part in a one-hour discovery interviews and a one-hour focus group.

Tim Butler, Director Store Performance said “Customer input at this stage of the project is essential to allow us to develop SAM AI to be as useful and profitable as possible for system owners and their franchisees.”

If you would like to be involved, please click here

Hospitality to gain in-store demographic insight in new partnership.

World leading audience intelligence provider for digital signage joins revolutionary InnovateUK co-funded project.

Knowing your customer has never been more important. Store Performance has partnered with Quividi, the pioneer and World #1 audience & content intelligence platform for Digital Signage, to provide in-store insight to its fast food, coffee and convenience chain customers.

In hospitality outlets, many customer behaviours have changed during the pandemic. As we emerge from the pandemic they will surely change again. Understanding this behavioural change will give companies a competitive advantage.

Quividi measures in real-time the footfall as well as the age and gender of your customers and their attention time to a point of interest. Combined with in-store sales, it offers a potent source of insight into your customers to increase conversion. Store Analysis Machine (SAM) will use the solution to offer store measurement and contextual promotion to digital menus, kiosk and drive thru.

Quividi is also participating in SAM AI, a ground-breaking, scaled analysis solution for retail that is co-funded by InnovateUK. Store Performance is looking for participants in the customer discovery phase of this project, details of the project and an application form can be found at https://bit.ly/samaip001

Tim Butler, Director Store Performance said “Quividi is the gold standard in audience demographics measurement, we are excited to add this solution to SAM and our SAM AI project. Allowing hospitality operators to deeply understand their footfall with actionable insights will help these business as they re-open their doors.”

“Turning audience insight into real-time business decisions is key to brick&mortar, which needs to have the same reactivity as e-commerce.”, says Laetitia Lim, Quividi’s CEO. “With Quividi’s audience & content intelligence platform now integrated with Store Analysis Machine, brands and retailers can plan and deliver targeted campaigns to the right audience and measure and optimize performance in real-time”.

As hospitality tackles the challenges of the “New Normal”, Store Performance and Quividi can help improve understanding, insight and promotion that reflects changing trading patterns at scale.

SAM AI gains Machine Learning Development Lead

We are very happy to welcome Niaz Chowdhury to our Store Analysis Machine Artificial Intelligence (SAM AI) project co-funded by InnovateUK.

The project emphasises strong academic collaborations with possibilities of recruiting one or two summer interns from the UK universities and funding collaborators to publish in highly reputed open access journals. We’ll be in touch with UK academics and researchers for exploring potential opportunities soon. We aim to create a synergy of related research around this project to get the best out of it.

Niaz is a highly experienced computer scientist, with over 15 years’ practical and research experience in the field of knowledge management and machine learning.

He completed his PhD. In Computer Science in 2015 at the University of Glasgow and moved to the Open University in Milton Keynes leading research topics as part of the MK:Smart and Strategic Science initiatives. He is currently participating in the EU funded research initiatives DEL4ALL and QualiChain whilst at the Knowledge Media Institute.

Niaz has published 24 academic papers on computer science related topics and authored/edited 3 books including has latest “Inside Blockchain, Bitcoin and Cryptocurrencies” published in September 2019.

He has been awarded numerous academic scholarships and awards for his undergraduate and postgraduate work. His latest work has contributed to the COVID-19 Antibody Test Certification, publishing work on the app architecture in April on ‘arXiv’ and in the IEE Open Journal of Engineering during April 2020.

Niaz comments “SAM AI allows QSR, coffee and convenience chains to understand and react to insight at the time it matters, now! The complexity of the problem, the understanding of multiple data insights and the scale of the customer estates offers exciting revenue generating possibilities.”

Shape the future of an ‘always learning’ store promotion solution for multi-site food operators.

Store Performance is offering multi-site Quick Service Restaurants, coffee and convenience chains and their franchisees the opportunity to shape the future of an ‘always learning’ store promotion solution for multi-site food operators.

Many operators are now experiencing operational changes on a site by site and weekly basis. With each contextual change, historic data and scheduled content can no longer provide optimal promotion. Store Performance will change this with its Store Analysis Machine Artificial Intelligence (SAM AI) solution. Continue reading →