Sidely's integrated AI assistant supports your sales staff at every moment of their day. Wherever they are in their visit - planning, tour, survey, report... - the assistant understands the context, analyzes the available data, and suggests concrete actions to take, clear priorities and the right arguments to use.
Discover the solution"Give me a summary of my day."
"What are my priority points of passage?"
"Do I have an alert or an emergency to manage?"
The assistant analyzes the day's planning, sales objectives, store data (DN, out-of-stocks, VMH, promotions, etc.) and proposes a prioritized action plan.
"Which stores can help me achieve my objectives?"
"Where should I go first this week? "It identifies high-impact points of sale (according to scoring, out-of-stocks, highlighting, opportunities) and guides you towards the right field targets.
"What is my objective here?"
"What product should I push?"
"What argument should I use?"
It cross-references the latest CRM data: visit history, promo status, actual vs. expected DN, past orders, and suggests the action to take with a turnkey sales pitch.
"Why am I coming here today?"
"What product should I push in this store?"
"What's my sales pitch here? "Before or during a visit, your sales rep launches Sidely's integrated AI assistant and asks his question. The AI Coach cross-references the question with all the data available in the CRM, to offer him a concrete answer, an action to take and a sales pitch adapted to the store (if necessary).
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A sales action plan is a structured document that defines sales objectives, targets, actions to be taken (visits, promotions, follow-ups, etc.) and sales arguments. It serves as a roadmap for successful sales meetings.
Automatic generation of a sales action plan consists of creating and adapting an action plan based on your actual data: field results, historical data, objectives, performance, etc.
The data required to automatically generate a sales action plan are those you collect during your sales visits. It can be grouped with external data such as sell-out or VMH to increase the accuracy of recommendations.
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