The not-so distant future of digital retail innovations

After a few recent discussions around what the future of retail might look like, here’s some future gazing of my own.

Better data sharing leads to greater personalisation

Over the last few years retailers have been working on getting their customer data out of its channel silos to attempt to create a single view of the customer. In the future they will realise that their data is far more valuable if it’s blended with other retailers shopping behaviour data, location tracking data, market research, etc., etc. Big data becomes Huge Data when all of these massive data sets can be joined together and analysed to reach an understanding of an individual to the extent where their needs, motivations and behaviours can be predicted with a practically applicable degree of accuracy.

How might huge data and hyper-personalisation affect the customer?

Personalisation will grow exponentially with every single little detail of every interaction with a business being tailored to each individual customer. The retailers will know what a customer needs, when they need it, and who they are most likely to buy if from before the customer does, and their marketing will lead customers along the happy path to purchase so smoothly they’ll hardly even notice they clicked the buy button. Shopping will become so deeply embedded into life that the idea of ‘going shopping’ will be like going out to the well to get a bucket of water. We don’t do that anymore, we just turn on the tap when we need water and it’s there.

Personalisation won’t just be for the customer, it will be for the business too. It will become a means of connecting with their customers. It won’t be ‘your order is processing’, it will be ‘Alfred is picking your order right now, would you like to watch a live video?’

Artificial intelligence will revolutionise anything that requires thinking

Customer service, merchandising, logistics, finance, in fact every aspect of business can and will be affected by Artificial Intelligence. For a time, AI will be a competitive advantage for those first-mover companies that figure out how to implement it effectively, but the speed of change means that it won’t be long until even the smallest business is powered by AI as much as it’s powered by electricity.

How might AI affect the customer?

The use of AI to take over many of the unpleasant, dangerous, and boring jobs the humans currently do is driving the argument for universal basic income, which would have a massive impact on spending habits in the future.

But even before we get to live in a society where robots do our work for us AI will have a massive, and for the most part, unseen impact on the life of the shopper. Artificial intelligent customer service systems will deal with every customer contact in real time, even being aware of issues before the customer is and only contacting them to tell them that the issue has been resolved. AI customer service will be able to make commercial sound decisions about things like how much discount to offer an individual customer based on their predicted lifetime value and demonstrate with absolute certainty the value to the business of good customer service. AI, and even more so AI utilising huge amounts of data from lots of sources, will make vastly better decisions about all aspects of business because it will understand the far reaching impact a decision will have in a complex system. It will be able to balance the sales that result from stock availability, the costs of distributing the stock, staff availability, customer behaviour patterns, weather, local events that might affect traffic to a shop, etc., etc., to maximize the cost-effectiveness of the business.

Connecting identity to payment will streamline checkout

Traditionally, retail has always regarded ‘who the customer is’ as completely separate from ‘how the customer pays’. This will change as huge data personalisation and AI progresses and customer expectations become more about having a streamlined end-to-end shopping experience that optimises the payment process.

How might streamlining checkout affect the customer?

Clothing shops position their tills to the sides to encourage browsing behaviour, whilst supermarkets line up their tills at the front of the store to make checking out as efficient as possible, and both still struggle to manage queues of people try to give them money. In stores future checkout innovations might be pin entry devices built into baskets that scan items as the customer puts them into the basket, and then the customer simply enters their payment card pin to checkout, or customers having an app on their phone that allows them to walk out the door of the shop with a bag full of items knowing the app will charge their bank account (think the next evolution of Amazon Go).

Online, taking payment could be done using behavioural logic to make educated guesses about whether you are who you say you are. So if you’re making a purchase using a device registered to you, from a location you’ve been to lots of times before, the item is in your size, and it’s being delivered to your work address then the payment system would use statistical modeling to decide if you are who you say you are and then not need you to enter your payment card details in order to complete your purchase.

The decentralization of manufacturing changes economic and distribution models

The use of low cost 3D printing will drive manufacturing into local hubs that can produce products that previously had to be mass produced in the Far East. This will have a massive effect on local economies, the environment, and on the speed at which retailers can launch new products and resupply.

How might 3D printing affect the customer?

Customers will find themselves facing a massive increase in the number of items available and those products will be increasingly made to measure for each individual. Clothing won’t be made in size small, medium and large, it will be made to the measurements the customer specifies. Any and every design of wallpaper, bedding, and wrapping paper will be available. Every possible colour of car, laptop, and inflatable drinks holder will be available. People will purchase products unique to themselves, and retailers will become even more about inspiration and trend-setting to encourage people to purchase with them.

The internet everywhere leads to a mindset of connectivity

Our device-oriented thinking will be replaced with an acceptance that the internet connects all aspects of our lives together. Rather than thinking of our phones as one type of device for doing a certain kind of thing on the internet, IoT devices for a another use, wearables for doing something different, we’ll live in a world where all of these devices will be instantly and always connected and sharing data so that your fridge knows when your going on a holiday that you booked on your phone and adjusts your grocery shopping list accordingly.

How might a mindset of connectivity affect the customer?

This connective mindset will be empowered by the technological changes that in turns drives a behavioural change with people becoming more integrated with the digital systems in their lives, including the heating of their homes responding to the weather, the sat nav in their cars telling them to reduce their speed to allow traffic jams ahead to clear, and retailers having more data about people’s lives to power their AI and personalisation. The internet everywhere will change people’s lives without them really realising it.

Weeknotes #42

What happened this week…

  • Reviewed the Online Shop to begin planning for design changes.
  • Attended Procurement Training and learned about negotiation techniques.
  • Wrote requirements for Online Shop and Ebay blended search results.
  • Spoke to third party events organisers about Facebook posts.
  • Launched a Facebook competition to name our new teddy bear.
  • Set up Facebook advertising to Events Participants.
  • Made changes to the Online Shop’s navigational structure.
  • Ecommerce Monthly Management Meeting to review our projects roadmap.

Read this week…

Doing next week…

  • Learning about a new merchandise planning system.
  • Writing the requirements for a Facebook Shop.
  • Personalisation research.
  • Analysing the weddings Facebook advertising.
  • Making some initial design changes to the Online Shop.
  • Announcing the winner of the ‘name the bear’ competition.

Interesting stat of the week…

  • So far in May, 36% of orders have been ‘assisted conversions’, which means the customer came to the online shop multiple times from multiple sources, e.g. email, BHF websites, and directly. 15% of conversions were by Referral and Direct, which means they came from BHF websites and directly to the Online Shop before placing their order.

In the not too distant future….

  • Selling CPR kits

Cascading mediocracy 

Three different people have explained managing a team to me as being about being able to let go of work, to allow the team members to do that work that you would have otherwise done even knowing that that won’t do as good a job as you would have.

I don’t accept that. I don’t think managing a team should be about accepting lower standards. If that’s the mindset of managers across an organisation then the more layers of management the organisation has the greater the cascading of mediocracy. And by the time it gets down to the bottom of the organisation the only quality work happens in spite of the mindset.

So, I’m not going to expect or accept that the people I work with will do a worse job than I would have done. I’m going to expect them to do it better than me. But I’m going to have to find ways to help them with that. That’s what management should be about; making the team stronger, more efficient, more effective, helping them level up.

Data has a half-life 

Every piece of data that exists about a person, their behaviour, and any prediction has a half-life. Relevance decays over time.

Name, for example, might have a half-life of about a fifty years or so. In a hundred years I’ll be dead and my name will only be half as relevant as it was fifty years before when I was alive. My search history could have a half-life of between two weeks and two minutes. If I’m trying to find my nearest petrol station, the chances are that the results are most relevant between now and when I put some fuel in my car, and ten minutes later the relevance has halved and is only useful for agregating with other behavioural data. A year’s worth of transactional data about what I’ve bought each of the past fifty two weeks might have a half-life of five years if my purchase habits stay the same, but as those habits are likely to change over time the data set would also change over time with certain points decaying faster than others if I stopped buying certain items.

Understanding how each piece of data has it’s own half-life and how the relevance decays over time based on that half-life can help companies provide better personalisation and could be a means of deciding when data should be deleted to conform with evolving data protection regulations.

Weeknotes #41

What happened this week…

  • Had product development meetings for our clothing range and wedding favours range.
  • Started advertising wedding favours again.
  • Put the Midas Fix project back on the queued projects list.
  • Met with our logistics company and talked about fulfilling Amazon orders.
  • Learned about how Clarks use analytics to understand customer behaviour.
  • Met with Topman to see how they use Qubit.
  • Worked on our Testing and Personalisation Plan.
  • Revised our budget forecasts for this year.
  • Found another way to get an Online Shop banner on the Events sign-up confirmation page.
  • Reviewed our Personal Development Objectives.
  • Signed up for Procurement Training

Read this week…

Doing next week…

  • Having the CPR Kits Project kick-off meeting.
  • Continuing to argue the case for testing links from the main website to the Online Shop.
  • Reviewing the Online Shop design, layout and content to prioritise improvements for the next year.
  • Working on research for our Optimisation plan.
  • Updating our projects roadmap.
  • Having Procurement Training.
  • Holding June’s Ecommerce Monthly Management Meeting to review our projects prioritisation.

Interesting stat of the week…

  • The new Online Shop is one year old. In that year we’ve seen Conversion Rate go up 11.50%, Order completion go up 15.41%, Account registration go up 104.68%, Abandonment Rate go down 10.82%, Transactions go up 17.42%, Pageviews go up 7.28%, and Average Time on Page go up 2.36%.

In the not too distant future….

  • Showing what our Ebay store has for sale.

Weeknotes #40

What happened this week…

  • Launched our new Vintage Romance wedding favours range.
  • Wrote user stories for automating moving files.
  • Reviewed all our projects to help with prioritising in the near future.
  • Answered questions about our multi-channel aspirations.
  • Made progress with Events and Campaigns marketing.
  • Spoke to a flowers supplier.

Read this week…

Doing next week…

  • Product development meetings for Weddings and Clothing.
  • Pin Badge Photo Shoot.
  • Ramping up our wedding favours advertising.
  • Meeting with our warehouse team.
  • Meeting with Clarks to see how they use content marketing to increase conversions.
  • Meeting with Topman to see how they use Qubit to personalise their ecommerce site.
  • Ecommerce Management meeting to talk about objectives.

Interesting stat of the week…

  • Comparing Convertors behaviour over the last thirty days with the same time last year we see that Desktop transactions have increased 54%, Mobile increased 47% and Tablet increased 38%.

In the not too distant future….

  • Flowers.