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Impact of AI on Mass Personalization

Source: Twilla Segment (2023): State of Personalization Report

Relevance to the Future of Logistics

Tailored Logistics Services

Logistics providers themselves can be adopters of mass personalization strategies for their own B2B and B2C customers to grow competitive advantages. By tailoring offerings based on each customer’s needs and preferences, logistics professionals can increase customer retention while possibly also increasing revenue from value-added services.  reveals that customer demands are a major force for transformation in the logistics sector, with 91% of companies recognizing that customers now prefer comprehensive logistics services from a single provider. Customers are seeking more than just conventional offerings like freight forwarding and customs brokerage; they expect logistics companies to provide added services including reverse logistics, e-commerce management, and analytics.

In ways, many logistics leaders already do this on a rudimentary level for B2B relationships, offering specific services to companies based on their industry and the products being handled. As an example, logistics providers are already personalizing risk analysis of the supply chain for customers, helping to leverage customer-specific personalization of supply chains with predictive AI and application programming interfaces (APIs) as enabling technologies. By handling the end-to-end supply chain, the logistics provider gains visibility over all aspects of the end customer’s journey and desires. This will allow the logistics provider to offer a more tailored program in the future.

There is a lot more opportunity for logistics organizations to offer B2C personalization, given the vast pool of customer data and varied preferences. Many logistics organizations already have websites where consumers can customize their shipments, like choosing delivery dates and types of packaging. However, logistics organizations can use more data and undertake deeper analyses to proactively create a more tailored customer experience. For instance, if a customer has a history of selecting greener options like recycled packaging, the logistics provider can also recommend other environmentally friendly options – like carbon-neutral shipping and delivery by cargo bikes – before the customer reaches the payment stage.

Overall, logistics providers can achieve competitive differentiation by providing more personalized services to B2B and B2C customers. By tailoring offerings based on each customer’s needs and preferences, logistics professionals can increase customer retention while possibly also increasing revenue from value-added services.

Enabling B2B Customer Agendas

Many manufacturers and retailers are exploring and implementing mass personalization techniques to enhance the customer journey in different channels. Logistics organizations will be expected to collaboratively support these agendas, providing a newer, wider range of offerings to B2B customers.

For some logistics providers, this may mean holding an inventory of more products for quick fulfillment. To illustrate, personalized vitamin subscriptions – in which dozens of vitamins and supplements are combined in pre-dosed packets and delivered monthly or even daily to customers based on their health needs – are becoming popular and are offered by nutritional supplement giants GNC and Nature Made and startups like Perelel, Persona, and Ritual. Unlike typical purchases, when products may come from different fulfillment centers and be delivered individually, these subscription service purchases require the logistics organization to have the right stock available in larger volumes at a single fulfillment center.

Furthermore, logistics operations may feel increased pressure from B2B customers to offer more sustainable and quicker delivery services. As younger consumers show higher willingness to pay more for sustainable goods, e-commerce retailers are actively seeking greener packaging and delivery mode alternatives to include these as personalized recommendations to customers.

We here at DHL predict retailers will offer more delivery options to customers based on their needs and demographic data, as many digital marketplaces already do. This can be in the form of different delivery times, from free 5-day shipping to premium same-day shipping, as well as the ability to drop the shipment off at a neighbor’s address or a nearby parcel locker. We recognize that, in order to provide these offerings, retailers will be pressuring logistics partners to develop such services; if the partner cannot do this, the retailer will turn to other logistics companies that can meet these requests.

Overall, in order to stay competitive and retain customers, logistics organizations will need to expand service capabilities, from enabling more inventory space to ensuring greener, faster last-mile delivery.

AI-Driven Customer Experience

As organizations get better at collecting and organizing granular customer data, we here at DHL expect the growing capabilities of AI to drive both internal and customer-facing recommendations, leading to an enhanced level of personalization in logistics services.

There is a meteoric rise in the accessibility and capabilities of generative AI. A Klarna report on the future of retail revealed 26% of US Gen Zers and Millennials imagine a future in which AI-driven customization in shopping becomes so advanced they will be able to completely avoid the need to shop if preferred.

E-commerce and retail organizations have the best access to consumer data as it relates to purchase history and social media interaction with products, allowing these businesses to profile customers accurately. Added to this, they have a high product mix which allows them to drive greater diversity in personalized recommendations than service-based organizations.

Service providers can capitalize on advanced analytics by proactively recommending service offerings based on a customer profile. To unlock a new standard of personalization for customers, logistics organizations can leverage B2B customer account data. This will enable hyper-personalized supply chain offerings including mode of transportation, based on delivery needs and sustainability standards, and location of storage and fulfillment for short-term end customer orders.

Challenges

Challenge 1

Realizing a mass personalization approach requires comprehensive knowledge of customer preferences and a deep understanding of data analytics.

Challenge 2

Reacting to changing customer preferences necessitates flexible production lines and supply chains in order to fulfill customer needs on time.

Challenge 3

Logistics must be able to maintain the same cost-to-serve level for individualized goods and even partially customized goods as for standard products.

Challenge 4

In the pursuit of Mass Personalization, organizations often seek to collect more data than necessary, which can infringe on user rights to data privacy.

Realizing a mass personalization approach requires comprehensive knowledge of customer preferences and a deep understanding of data analytics.
Reacting to changing customer preferences necessitates flexible production lines and supply chains in order to fulfill customer needs on time.
Logistics must be able to maintain the same cost-to-serve level for individualized goods and even partially customized goods as for standard products.
In the pursuit of Mass Personalization, organizations often seek to collect more data than necessary, which can infringe on user rights to data privacy.

Outlook

The trend of Mass Personalization will continue to progress as the customer expectation and demand for tailored experiences grows. Logistics organizations can be the enablers of their B2B customers’ mass personalization strategies but need to adapt service offerings to these customers and B2C customers in order to also fulfill demand for customized logistics services by using the ever-enhancing capabilities of AI-driven analytics.

As the B2B customers of logistics organizations seek to fulfill the increasingly personalized expectations of end consumers, this may – in practice – look like structuring the supply chain based on anticipated consumer demand or devising fully automated service triggers based on consumer purchases.

This trend should be monitored TO SOME EXTENT,with developments and use cases on the horizon.

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Sources

  1. Forbes (2023): The Future Of Retail Is Hyper-Personalized
  2. Salesforce (2022): State of the Connected Customer Report
  3. Accenture (2021): Logistics: Full service. Full stop
  4. Klarna (2023): Future of Retail