For starters, most forecasting processes are weekly and incredibly time-consuming. Sales reps can lose up to a full day of selling due to these processes. That means that traditional forecasting reduces sales productivity by 20%.

Collective[i] provides a one-click forecast that's updated daily. The number presented is developed by applying AI/ML to your historical sales data and external data from our network. Essentially, we swap out commits for science.

The result is a much more accurate forecast delivered with no loss of productivity and in a manner that allows a sales organization to adapt dynamically. 

Clari is an example of a traditional forecast. While it automates some aspects of what you do today, a manager still has to spend time every week reviewing their team's commits.

The way Clari does forecasting doesn't allow the buyer's voice to be present at all, nor are any other factors taken into account. For example, if a sales professional does a poor job explaining the product, pricing is wrong, or a contract is stalled - none of this human behavior is surfaced in Clari's system like it is in Collective[i].

At its core, the modern approach to forecasting creates organizational accountability rather than just individual accountability. No one individual is blamed if predictions aren’t accurate.  This is because human bias is removed from the process. 

Instead of trying to predict the future, sales teams can pinpoint actual elements in a deal that need support. Sales leaders can spend more time coaching their team, and sales professionals can spend more time focused on buyers. 
 

We use multiple forms of AI. For example, Intelligent WriteBack™ uses Robotic Process Automation (RPA). For our Intelligent Forecasts and next best actions, we use more sophisticated forms of AI like deep learning and neural networks. 

Collective[i] and companies like Google, Facebook, LinkedIn, and Amazon leverage networks using data from thousands of sources to fuel deep learning AI.

The results are truly transformative. Collective[i]'s Intelligent Forecast, Google’s real-time language translations, Apple's iPhone facial recognition, and Tesla's self-driving cars are all examples of technology that use deep learning. 

Our team of data scientists has created algorithms designed to unearth correlations between activities and outcomes. Our platform studies these activities and takes into account all of the factors needed to make a prediction from both internal and external data sources.

Our AI will learn to recognize these patterns and produce the most precise forecast of any tool on the market while also providing tactical recommendations to improve your odds of winning.

Collective[i] supports your existing sales processes and improves seller execution.

The processes we replace (forecasting, pipeline reviews) are ones that are time-consuming, error-ridden, and do not touch the buyer.

Processes like MEDDPIC and others can now be tracked with precision and augmented with recommended actions.