Employees see the retail shelf every day and know its impact on sales, but insights get lost in chaos
The retail shelf is a battlefield. Every inch of space, every product position, and every promotional display plays a pivotal role in driving sales. Frontline employees know when products are not optimally placed, stocked, or promoted, but without a scalable approach to turn shelf observations into strategic data, brands cannot act decisively and it costs sales. That’s where the Groopit Retail Execution Intelligence Solution comes in.
The Groopit Retail Execution Intelligence Solution radically simplifies how companies get intel from the field and use it to increase sell-through.
Drive decisions with a retail execution intelligence data model
With Groopit, you’ll get high-quality retail execution intelligence by establishing an underlying data model for employee generated insights. It’s the foundation to extract quantitative data from every site visit and influence decisions that increase sales.
Operate with agility and speed
Need intel about a new promotion or to deep dive on a new topic? No problem. Groopit makes it easy to adjust the data model on-the-fly. Start from scratch or with a template, and move fast. You control the intel people share during every site visit.
Radically simplify sharing of retail execution intelligence
With Groopit, employees share intel with a few quick taps, while they are on site. Work from a mobile app, Teams, Slack, Salesforce, or plug Groopit into their existing systems and workflows. Groopit removes all the friction so employees share what they know.
Deliver retail execution intelligence directly to decision-makers
The Groopit Retail Execution Intelligence Solution aggregates and delivers intel to the appropriate decision-makers. Display intel is delivered to the promotional teams. Stocking intel delivered to operational teams. For the first time, a company’s collective intel can be leveraged across disciplines.
“Employees at corporate can finally see what’s happening in our stores and make adjustments immediately. We’ve never been able to do this before.”