Boost Sales Productivity and Cost Efficiency in High Tech
To drive growth, companies need to close more deals, faster, but with fewer resources. Learn how iFood and Sago unlocked data to boost seller productivity from lead to renewal.
Important: This session is first come, first seated. You do not have a reserved seat.
, Distinguished Solution Engineer, Salesforce
, Head of Growth, iFood
, EVP, Sales, Sago
, Senior Product Marketing Manager, Salesforce
, Lead, Account Solution Engineer, Salesforce
Role: Operations, Sales
Industry: Technology
Product: Agentforce Sales
Topic: Productivity
Session Level: Beginner
Session Type: Breakout
Thursday, Sep 193:15 PM - 4:00 PM PDT
(10:15 PM - 11:00 PM GMT)
InterContinental, L5, InterContinental Ballroom C
Session Summary by Einstein: The session delved into the challenges and solutions faced by sales leaders, with a focus on leveraging Salesforce products to enhance efficiency and drive growth. Presenters highlighted the need for AI-powered productivity, unified data strategies, and diversification of revenue streams to tackle siloed data and meet customer expectations. With 65% of tech sellers anticipating missing their quotas, the importance of a single, data-driven platform like Salesforce's Revenue Cloud was underscored to empower sellers, streamline operations, and improve customer experiences. Innovations such as AI to automate non-selling tasks and new forecasting tools were introduced, aiming to reduce the time reps spend on non-selling activities and optimize sales processes.
Key Takeaways by Einstein:
• Salesforce's Sales Cloud can help businesses launch new revenue models and leverage partner ecosystems for co-selling and product-led sales motions.
• AI innovations within Salesforce are designed to automate tasks such as email drafting and provide sales reps with actionable insights, aiming to reduce the 70% of time typically spent on non-selling activities.
• The forthcoming winter release will introduce features like Partner Connect for bidirectional CRM data sync and enhanced forecasting tools to support usage-based revenue models.
With sessions and hands-on activities led by product experts, visionaries, and fellow Trailblazers, Dreamforce offers a deep dive into the latest in CRM + AI + Data + Trust.
Merlinda Lu
Salesforce Developer, IBM
We use cookies on our website to improve website performance, to analyze website usage and to tailor content and offers to your interests.
By clicking “Accept All Cookies”, you consent to us placing these cookies. By clicking “Do Not Accept”, you reject the usage of such cookies. We always place cookies that do not require consent, which are necessary for the website to work properly.
For more information about the different cookies we are using, read the Privacy Statement. To change your cookie settings and preferences, click the Cookie Consent Manager button.
Cookie Consent Manager
Cookie Consent Manager
General Information
Required Cookies
Functional Cookies
Advertising Cookies
General Information
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.