Do you know why your best salespeople sell more? Do they have habits and behaviours that can be abstracted to improve sales outcomes for your teams? Are there prospects or customers who are more profitable than others? What do your best sales managers do that enables their team to succeed?
Vymo’s intelligence engine crunches terabytes of day to compile answers to these questions and more. To consume the high dimensional time series data of user activity logs we use Recurrent Neural Network (RNN) architectures like Long Short-Term Memory Networks (LSTMs) and Gated Recurrent Units (GRUs).
A model to correlate engagement type and frequency with outcomes.
Categorize partners based on opportunity.
Capture business opportunity.
Suggested engagement based on partner profile.
Suggested meetings based on location and calendar intelligence.
Prompt reps to engage prospects and customers more frequently.
Enable reps to pick up unaddressed opportunities and self allocate leads.
Intelligent suggestion to plan the day.
Suggestion for specific opportunities.
Prioritise targets for best outcome.
Log all calls and meetings automatically.
Prompt next best action based on geo intelligence.
Measure time spend for activities.
Schedule activities tagged to calls with minimal actions.
Prompt reminders and follow ups based on calls with minimal interventions.
Prompt next best actions for every lead or customer call.
Enable in-the-moment coaching to improve conversions.
Prompt qualitative interventions by supervisors to assist reps.
Prescriptive actions to avoid sub par performance.
Applications will evolve progressively from being diagnostic to predictive and help business leaders make data driven decisions ahead of the curve. An estimated 40% of companies will adopt AI within the next two years and AI-powered activities in CRM alone could increase global business revenues by over $1.1 trillion in the next four years (IDC).
In this report, Vymo extrapolates AI impact on various aspects of Sales in the future.