E-commerce businesses struggle to analyze and interpret complex user interactions on their sites. Forecasting revenue based on current marketing efforts can be challenging. Determining which marketing channels contribute most to conversions is often unclear.

VC Analyst team work very hard to identify and schedule meetings with founders. Team wasted 70% time in non-productive cold-outreach & ended up in poor due-diligence resulting wrong deals. Growth stage founders aren’t interested in new funding until there is a need, so they remain silent.

Demos built manually by pre-sales teams are time consuming and delays the buyer journey. Not scalable. Poor post-meeting follow-ups process without a data driven approach fails faster. Empty dashboard trial access distracts the user from focusing on real product-value.

Labs with traditional devices needed experienced resources and wait time is longer. Probability of manual error was reduced and reports were accurate with AI tech. Traditional field-sales weren’t able to generate new meetings due to hectic travel schedule.

Lead scoring has always been manual, time-consuming, most hated task by sales teams. Traditional CRMs is cluttered and GTM teams are confused about quality & constantly seek new leads. Boosted the efficiency of sales/marketing teams by focusing on only leads that are important

Hectic vendor follow-ups to customize clothes for employee uniform/gifting & event guests. With a new genZ CEO - our manufacturing client introduced e-commerce for custom-printing division. Smooth ordering with error-free customization and on time delivery guaranteed to buyers.