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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. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 67
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5 Ways B2B Companies Can Use Analytics for Pricing

Smart Data Collective

Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. We all know how difficult it can be to get the pricing right in B2B contexts. Analytics can use existing data to model scenarios where customers will respond to different prices.

B2B 131
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ERP Integration Benefits Data-Savvy eCommerce for Distribution Industry

Smart Data Collective

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 106
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 13: Digital Sales Enablement is a gamechanger in the post-COVID era

bridgei2i

In order to bring more value to the table in post COVID times, B2B sales organisations today are continuously looking out for the right insights to pursue the right opportunities. How do you see B2B sales transforming in this scenario? And so we’ve got to have data on what’s the representative of the new norm.

Sales 93
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 13: Digital Sales Enablement a gamechanger in the post-COVID era

bridgei2i

In order to bring more value to the table in post COVID times, B2B sales organisations today continuously looking out for the right insights to pursue the right opportunities. How do you see B2B sales transforming in this scenario? And so we’ve got to have data on what’s the representative of the new norm.

Sales 52
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Extended Planning: Sales Performance Management

Jedox

This includes encompassing territory planning, quota planning, calculation of sales compensation, publishing commission statements, sales forecasting, commission accruals, management reports and analytics. Data-driven analytics to speed up decisions and actions. Fixed Data Model. Rigid Data Integration.

Sales 52
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Evolution of AI in Sales (Part 2)

bridgei2i

Sales forecasting: Accurately forecasting sales is one of the most difficult tasks for most sales managers. A 2017 white paper produced by Harvard Business Review in collaboration with Apttus states that “B2B revenue generation processes offer huge opportunities to benefit from the (AI) technologies.” Certainly not.

Sales 40