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Akeneo aims to transform the retail playbook with AI and data consistency

CIO Business Intelligence

Without data that is accurate, comprehensive, and adaptable to every customers intent, businesses risk being left behind. Perhaps most concerning is the increased compliance risk that stems from inconsistent product information. Success stories from both B2B and B2C sectors demonstrate the platforms versatility.

B2B 105
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Practical Skills for The AI Product Manager

O'Reilly on Data

Consumer Companies Versus B2B Companies. In contrast, AI product managers working in Business to Business (B2B) firms tend to focus on the first and last mile of the AI product cycle. B2B firms solve highly complex problems for a very narrow set of consumers. Startups Versus Large Companies.

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The targeted approach to cloud and data CIOs need for ROI gains

CIO Business Intelligence

CIOs support the core business With cloud forming the foundation of digital transformation at Vibram, the company, always active in B2B, decided a few years ago to increasingly address the consumer by expanding its B2C activity, developing a new e-commerce site and improving all digital touchpoints to reach the customer.

ROI 119
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The Top 5 Requirements Clients have for their B2B Suppliers

Decision Management Solutions

McKinsey recently published a great piece aimed at B2B companies called The new B2B growth equation. This focused on how B2B Customers want an “ always-on, personalized, omnichannel experience ”. What this means for B2B sellers is a need to deliver excellence across a wide range of channels – 10 or more according to McKinsey.

B2B 72
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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. Longer buying cycles, more risk, and larger transactions. Below, we will explore how you can use big data wisely to make your B2B startup one of the 2 in 5 that becomes profitable. The world of B2B is now worth over $1.8

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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible. These will be across a number of sectors including marketing, publishing, entertainment, and education in both B2C and B2B environments.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. These tools enable companies to proactively identify potential disruptions and mitigate risks.

B2B 64