Now every Salesperson has a second brain

Coupled with Vymo’s intelligence engine, turn your sales reps to super sellers. Vymo analyzes contextual data everyday to understand why your best salespeople succeed, and nudges these healthy behaviors across your sales teams.

Artificial Intelligence to enable your reps
to do more. Intelligently

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).

Contextual suggestions to improve reps
productivity and outcomes


Instantly Actionable

Use suggestions right away to improve your rep’s productivity


Contextually Tailored

Tailored to every rep’s profile, location and targets for the quarter


Progressively Intelligent

Self learning algorithms to detect biases and find trends

How it works?

A model to correlate engagement type and frequency with outcomes.

Suggestion lifecycle

“Minimal Intervention + Maximum Use”

Prescriptive engagement planning

Categorize partners based on opportunity.
Capture business opportunity.
Suggested engagement based on partner profile.


Proactive meeting suggestions &
calendaring support

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.

Next Best Action on every Lead,
Account or Opportunity.

Intelligent suggestion to plan the day.
Suggestion for specific opportunities.
Prioritise targets for best outcome.


Next best actions for activities detected

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.

Supervisor-led coaching interventions

Enable in-the-moment coaching to improve conversions.
Prompt qualitative interventions by supervisors to assist reps.
Prescriptive actions to avoid sub par performance.


Transforming sales through AI

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.

A recent pilot with India's largest private banking group.

Suggestions accepted
Calls originated from suggestions
Activities completed originated from suggestion
Daily User Adoption

Vymo in the press

Five Things You Should Consider Before Investing In AI

Five Things You Should Consider Before Investing In AI

Remember when dashboards looked back at you dumbfounded that you achieved all of those numbers? Or when they proudly sorted data based on the few possibilities there were?

AI moving in to help solve ‘human issues’ around loan recovery

AI moving in to help solve ‘human issues’ around loan recovery

Banks in India can ill-afford to slacken recovery/collection efforts, given the country’s status as the fifth-largest holder of non-performing assets (NPAs) globally and the highest among BRICS nations.

Artificial Intelligence: The magic wand in the hands of a salesman

Artificial Intelligence: The magic wand in the hands of a salesman

Why pay a common motor insurance premium if you’re statistically safer than the rest of the demographic? Insurance companies are aggregating customer data to gauge premiums dynamically.