Platformization at Different Speeds: Why Some Industries Lag Behind

8

October

2025

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What do some of the best-known tech companies have in common? Surely, they all are incredibly successful. But they all are also platform-based organizations that through the agility with which they are able to innovate and scale, have redefined entire industries by creating ecosystems and connecting users, data, and services in ways traditional firms could never match (Blumberg et al., 2020). Over the past decade, platform business models have revolutionized entire industries. Airbnb reshaped hospitality without owning a single hotel. Uber transformed urban transport without a fleet of cars. Spotify turned music into a service rather than a product. Yet, while these consumer-facing industries have been transformed almost overnight, others — like procurement, manufacturing, or healthcare — have been far slower to “platformize.”

The difference lies in how easily digital platforms can generate network effects. Platforms thrive when they connect fragmented markets, reduce transaction costs, and create standardized interactions between users (Madanaguli et al., 2023). If you think of a ride, a song, or a stay, transactions here are relatively simple. In sectors such as hospitality or entertainment, data is abundant, trust can be built through ratings, and users switch platforms easily.

In contrast, industries like B2B procurement involve complex relationships built on trust, quality assurance, and long-term contracts (Beard, 2025). Transactions are high-value, and negotiations are delicate and require time. As a result, even if the benefits of digital matching are clear – transparency, efficiency, and data insights – adoption takes time. Even emerging B2B platforms such as Torg or Wonnda, which connect food and beverage buyers with suppliers, must first overcome structural and cultural barriers before achieving the same level of network-driven momentum as Uber or Airbnb. Still, things are changing. Advances in AI and automation are reducing friction in traditionally “offline” sectors. As information flows become more standardized, we can expect a new wave of platforms to emerge — this time not for your next ride or vacation, but for sourcing ingredients, manufacturing components, or managing supply chains.

The question is no longer if platforms will disrupt every industry, but how fast and who will lead the change.

References

Beard, N. V. (2025, September 8). Optimising B2B procurement for the future (2025). BigCommerce. https://www.bigcommerce.co.uk/articles/b2b-ecommerce/b2b-procurement/

Blumberg, S., Kürtz, K., Bossert, O., & Richter, G. (2020, March 12). The power of platforms to reshape the business. McKinsey & Company. Retrieved October 5, 2025, from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/tech-forward/the-power-of-platforms-to-reshape-the-business

Madanaguli, A., Parida, V., Sjödin, D., & Oghazi, P. (2023). Literature review on industrial digital platforms: A business model perspective and suggestions for future research. Technological Forecasting and Social Change, 194, 122606. https://doi.org/10.1016/j.techfore.2023.122606

Soares, I., & Nieto-Mengotti, M. (2024). Network effects on platform markets. Revisiting the theoretical literature. Scientific Annals of Economics and Business, 71(4), 605–623. https://doi.org/10.47743/saeb-2024-0029

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Generative AI’s Transformative Impact on B2B Customer Service

10

October

2023

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Where self-service portals and chatbots dominated customer service for a long time, the next trend, to improve customer interaction and service quality, seems to be set by generative artifical intelligence (GenAI). The application of this emerging technology is increasingly seen in well-known platforms such as Zendesk and Salesforce Einstein, which use AI to enable personalised and more efficient service and improve current functionalities within systems.

The role of GenAI in B2B sales and Customer Service

GenAI is not simply a new technology, but rather can be seen as a collaborative partner. In B2B sales, GenAI strengthens the sales team on sales support tasks and marketing topics, freeing up team members’ hands, improving performance and ultimately generating more revenue (D’Angelo et al., 2023).

Looking at customer service, the application of GenAI will be able to increase productivity by 30-50% over the next three years (Bamberger et al., 2023). However, for now we are still in the third phase concerning the implementation of this technology, human-like self-service. After all, GenAI currently still contains relatively many sensitivities and inaccuracies, requiring human supervision to further train the model. Therefore, to make GenAI work for your organisation at this stage, a good balance and interaction between GenAI and team members is very important to ensure the reliability of the output.

Insights and Personalization

Another big advantage to GenAI will be enabling personalised customer experiences on a large scale. For instance, GenAI will not only make it possible to provide answers or suggestions to a customer or customer service agent, but also analyse data and come up with strategic insights (Kudyba, 2018). Based on these insights, the organisation can recruit strategic insights to understand their customers even better and recognise trends. One industry where GenAI is already deployed in this way is the financial sector; within the sector, personalised solutions and strategic choices measurably increase customer satisfaction. In this case, GenAI is not just a tool but the instigator when it comes to permanently changing customer contact through a far-reaching personalised experience.

Tools and applications

As described earlier, GenAI still needs to take some steps to provide complete support for every challenge. Nevertheless, organisations today can already benefit from the technology in applications such as Zendesk. The AI within Zendesk enables customer service agents to send AI suggested empathetic responses or offers (Mitchell, 2023). In doing so, Zendesk rests on the most fully trained AI currently available, namely ChatGPT, to further improve its own technology and get the most out of the Zendesk platform. The ultimate goal here is not to replace the agent’s work but rather to complement it and thereby improve the overall customer experience (Siggelkow, 2023).

Catching on to Zendesk’s vision, the integration of GenAI into B2B Customer Service seems inevitable, but also essential to provide improved, personalised and more efficient customer interaction.

References

Bamberger, S., Clark, N., Ramachandran, S., & Sokolova, V. (2023). How generative AI is already transforming customer service. BCG Global. https://www.bcg.com/publications/2023/how-generative-ai-transforms-customer-service

D’Angelo, S., Gauch, B., Hawks, A., & Ward, M. (2023). Get your B2B sales team ready for the power of generative AI. BCG Global. https://www.bcg.com/publications/2023/how-genai-can-transform-b2b-sales

Kudyba, S. (2018, July 24). Machine learning can help B2B firms learn more about their customers. Harvard Business Review. https://hbr.org/2018/01/machine-learning-can-help-b2b-firms-learn-more-about-their-customers

Mitchell, C. (2023). Zendesk expands its generative AI capabilities, announces new safeguards & controls. CX Today. https://www.cxtoday.com/crm/zendesk-expands-its-generative-ai-capabilities-announces-new-safeguards-controls/

Siggelkow, N. (2023, April 4). Create Winning Customer Experiences with Generative AI. Harvard Business Review. https://hbr.org/2023/04/create-winning-customer-experiences-with-generative-ai

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