Machine learning and artificial intelligence for retail supply chains

How retailers can incorporate machine learning and artificial intelligence into their supply chain: A snapshot of the recent ASCI Networking Breakfast panel event

 

By Harsha Illindala, Vice President, Solutions Advisor – APAC at JDA Software

 

I was lucky enough to host a panel at a recent ASCI breakfast on new advances in machine learning and artificial intelligence and how they are helping retailers optimise their operations and supply chain. I was joined by Michelle Grujin, Managing Director, Retail Industry Lead ANZ at Accenture and Marcy Larsen, Industry Solution Executive, Retail and CPG at Microsoft.

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While these technologies are becoming increasingly important, we first discussed some of the macro trends influencing retail customers today, what makes them different to customers from 10 or 20 years ago to frame why investing in these technologies is so important:

  1. Hyper-personalisation

 

Retailers are now expected to customise the customer experience to the segment of one. Retailers need to cluster and segment more narrowly across all retail formats.

  1. Premiumisation

There is a growing interest in premium food, clothes and other merchandise. There has been growth in health, vegan and specialised foods. Customers are also concerned with ethical sourcing and fair trade. They want to believe in the product.

  1. Convenience

Convenience is the price of admission: customers expect retailers to be convenient to deal with. They prioritise this, often over price.

  1. Mobility

The ability to shop online from a Smartphone means customers are more mobile than ever before and can purchase from anywhere.

  1. Urbanisation and population

There is a changing population mix with more customers living in urban areas. Customers will favour retailers who prioritise inclusion and diversity and demonstrate authenticity.

  1. Talent

We then went on to discuss how talent in retail is changing. According to the 2019 Retail C-Suite Viewpoint surveyconducted by JDA Software and Microsoft, talent is a top three issue with the C-suite in retail.

The workforce is varied with more part-timers and a workforce with time constraints. The gig economy is mobilising millennials and the retired workforce. Employees now have the ability to achieve genuine flexibility and hold down several different styles of job which fits in with their lifestyle and personal constraints.

For retailers the focus is now less on workforce scheduling and more about engagement with employees. There is also a huge competition for skills so retailers need to create a dynamic environment which values their skills.

Engaging employees with technology that is as advanced, if not more advanced, than what they are able to access at home is important. Employees, just like customers, expect retailers to demonstrate inclusiveness, diversity and authenticity.

  1. Provenance in supply chain

Customers care about the claims made by brands and retailers about products. Smart looking packaging and brand advertising strategies are important. Environmental and societal influences, morality and accountability are priorities for the customer.

  1. Data

The influence of data is significant. Customer trust is established when the right data is provided. When there is transparency of data between suppliers – shipping through to store – it creates a better customer experience.

  1. Influence of digital

Customers expect the physical experience to be on par with the digital experience. Technology is transforming the customer: 75% of a customer’s visits to a store are influenced by digital and 58% of sales are impacted by digital, according to the 2019 Retail C-Suite Viewpoint survey.

Digital has changed the customer journey; digital is now the ‘front of store’. The customer journey has evolved to loyalty – discovery – research – purchase – fulfillment.

We then went on to discuss which technology, such as artificial intelligence (AI) and machine learning (ML), is emerging to help retailers meet the needs of the customer in light of these macro trends.

The Tech

We then covered technology that is playing increasing important role in the supply chain for retailers and why companies should be investing in them:

Technology for personalisation

36% of the C-suite in retail expect to undertake pilots using AI in personalised product recommendations, 20% for localised pricing and 29% for personalised product assortments.

AI helps retailers meet customer expectations around product availability and fulfillment choices – in-store, pick-up and delivery. Customers expect instant gratification when it comes to fulfillment.

AI also provides a flowing, single view of inventory and allows for dynamic allocation and fulfillment, predictive replenishment and a shorter product life cycle.

Technology for provenance in supply chain

AI and ML provide real-time visibility. Traditional systems such as ERP centric reports and dashboards are too slow, alternatively AI provides real-time and direct visualisation of supply chain data with ML identifying and weeding out data discrepancies.

Blockchain is becoming an increasingly common buzzword and is something that could old the answer to many provenance related issues. With Blockchain providing a method to manage forms of exchange, entities in a supply chain can with increased confidence know where each asset has originated

Technology for the workforce

Technology is changing rapidly and affecting supply chain practices. There are several workplace changes that will become more important to how supply chain operates.

With more virtual and contingent workers, automation, increased connectivity through workplace social networks (e.g. instant messaging, communities) and more advanced communication tools (e.g. virtual meetings, webinars) will become increasingly important. Apps (e.g. personal organisers, goal setting, real-time feedback, team activities) will play a role, as will gamification (e.g. realistic training scenarios to stress test and develop supply chain strategies). Artificial Intelligence (e.g. advanced data mining) will help identify business trends and opportunities.

Challenges in adoption

We went on to discuss the major challenges facing retailers in adopting these technologies.

Some of the key observations included:

  • 55% of retailers don’t have single view of inventory
  • 78% of retailers don’t have real time view of inventory
  • 50% of retailers believe their technologies are lagging
  • Most retailers have CDTOs / CDOs and in-house AI teams, but tangible and scalable innovations have been far and few between
  • Many retailers have started off by trying to understand “what will my data show”, but need to transition to “what action needs to be taken” as a result of those insights

Is technology simplifying supply chain or adding to complexity?

We went on to question whether an increasingly complex supply chain is being simplified or further complicated by technology. We agreed that technology can minimise store effort in handling product and create flexibility in flow volumes and mechanisms.

We also discussed automation. There are increased and more affordable automation solutions in warehouses and in-store. Automation delivers productivity but also narrows variations. This means there is a greater need to manage the inventory flow to leverage the automation. Retailers need to manage coordination across inventory planning, transportation, yard, dock and warehouse operations.

A big thank you to the ASCI for inviting me along to host this excellent and insightful panel.

If you have questions about how AI and ML can improve your supply chain, you can contact me at Sriharsha.Illindala@jda.comor visit the JDA website.

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