ChannelEyes has unfurled a software-as-a-service (SaaS) application that makes use of machine learning algorithms and predictive analytics to inform IT vendors where their next sale is likely to be made.
The Day2Leads application applies algorithms to sales transaction data residing in an IT vendors ERP or accounting applications to identify new sales opportunities, says ChannelEyes CEO Dave Geoghegan.
“We’re applying data science to sales data,” says Geoghehan.
Each vendor that leverages ChannelEyes to engage and manage marketing efforts on behalf of channel partners can now use Day2Leads to drive sales leads to partners,” says Geoghegan.
The Day2Leads analytics applications can identify upsell and cross-sell opportunities, as well as likely customers for new products based on prior customer transactions, says Geoghegan.
ChannelEyes doesn’t share sales lead data between IT vendors. Each IT vendor has access to their own multi-tenant instance of a SaaS application, explains Geoghagen.
Advanced analytics enabled by machine learning algorithms are now coming into vogue across the enterprise. ChannelEyes is pioneering the use of those applications across the channel. Most channel teams are not going to be the primary beneficiaries of any investment their organization is likely to make in AI. The Day2Leads application provides a packaged application that can be accessed in a matter of days and weeks, notes Geoghagen.
It will be interesting to see if a sales lead generated by an AI application closes more rapidly than other sources. Channel partners continually clamor for more leads. But the leads that vendors provide are often stale long before they ever make their way to the channel. By the time an IT vendor verifies a sales lead the opportunity has often passed. Predictive analytics, in theory, should make it possible to identify when a customer might need a product or service long before they even realize it themselves.
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