InnoSale webinar on Data accessibility in AI-driven B2B sales

In B2B sales, which require negotiation and customisation, both the seller and the customer benefit if the best possible offer can be reached as quickly as possible. For this, AI can potentially improve the sales process by providing insights and offer recommendations. However, this requires use of multiple data sources and tight collaboration between data owners and data scientists to unlock the value of data.

ITEA project InnoSale organised a webinar that highlights both technical and business aspects of accessing data with AI-driven B2B sales. These findings were gathered from the collaborative research project InnoSale and presented in a blog series in the spring of 2024.

The webinar, hosted by Marko Jurvansuu and Sari Järvinen from VTT, introduced the state-of-the-art in the research on AI-assisted sales and presented the InnoSale project. Ari Bertula, Innovation Specialist at Konecranes gave a presentation on the possibilities of AI in B2B-sales development, which was followed by an introduction to the blog series.

The main part of the webinar was a roundtable discussion in which Ari Bertula, Marjaana Tyven-Jokinen (Product Manager at Molok), Kai Huittinen (Business Development manager at Wapice), Trang Nguyen (Team Lead at LeadDesk), Johannes Peltola (Principal Scientist at VTT) and Frank Werner (Research Director at Software AG) covered a broad area of AI-assisted sales topics, such as:

• How to identify the most promising use cases for AI development
• Where does the value come from when using AI in sales?
• The main challenges in data accessibility
• The role of AI and human sales experts in B2B sales in the future
• Challenges and main lessons learned in their own organisation

The entire webinar, including the outcomes of the roundtable discussion, can be watched below:

More information:

• Webinar on Youtube: https://www.youtube.com/watch?v=H8eZqdbpSOA
• The blogs discussed in the webinar are available on: https://www.innosale.eu/news/
• InnoSale project page: https://itea4.org/project/innosale.html