{"id":82272,"date":"2026-11-02T09:54:10","date_gmt":"2026-11-02T08:54:10","guid":{"rendered":"https:\/\/aton.com\/atonews\/ai-agentica-forza-vendita-food-beverage\/"},"modified":"2026-11-02T09:54:10","modified_gmt":"2026-11-02T08:54:10","slug":"agentic-ai-sales-teams-food-beverage","status":"publish","type":"post","link":"https:\/\/aton.com\/en\/atonews\/agentic-ai-sales-teams-food-beverage\/","title":{"rendered":"Agentic AI and sales teams in food & beverage: how sales management is changing"},"content":{"rendered":"

There are ten minutes to go before the first customer visit. The sales rep needs to retrieve the latest order, check for any outstanding payments and see which promotions are available. The information already exists within the company, but it is spread across the CRM<\/a>, ERP and different reports.<\/p>\n

At the same time, back at head office, the customer service team receives an order by email as a PDF. Someone will need to read it, identify the products, check the quantities and enter the order into the system.<\/p>\n

In food & beverage companies<\/strong>, scenarios like these happen every day, and some of the time that could be spent selling is instead taken up by searching for information and manually processing orders.<\/p>\n

This is precisely where agentic AI<\/strong> can support the process. In this article, we look at practical use cases drawn from everyday sales and customer service activities.<\/p>\n

How much time does the sales team actually have to sell?<\/strong><\/h2>\n

In companies that sell through a network of sales reps<\/strong>, preparing for a customer visit requires three things: customer history, commercial terms and opportunities that have yet to be developed.<\/p>\n

When data is spread across different applications, rebuilding the customer context takes time. As a result, a sales rep may arrive at a meeting without having spotted a decline in purchases or a product category that has not yet been explored with that customer.<\/p>\n

The same applies to orders. They may be collected during customer visits, placed through the B2B portal<\/a>, sent by email or even arrive as photos of handwritten order sheets via WhatsApp. Each format requires information to be checked and transcribed before it can enter the company\u2019s systems.<\/p>\n

The starting point is therefore a simple question: how much do these activities affect sales productivity and the opportunities that may be missed along the way?<\/p>\n

What is agentic AI, and what does it change for sales teams?<\/strong><\/h2>\n

Artificial intelligence is changing the way companies access information and manage sales activities.<\/p>\n

With agentic AI<\/strong>, an assistant integrated into business systems can retrieve and process data and support operational tasks, from preparing for a customer visit to creating an order ready for validation. People remain in control of decisions and checks, while working alongside the AI agent.<\/p>\n

For more on this topic: \u201cUCP and B2B processes: why the future of commerce requires integrated platforms\u201d<\/a><\/p>\n

For sales reps, this changes the way they access information, moving from <\/strong>search<\/strong><\/em> to <\/strong>ask<\/strong><\/em>. Instead of opening several screens to piece together a customer\u2019s situation, they can ask a question and receive an answer based on the data the company already holds.<\/p>\n

For example: \u201cWhat has Rossi ordered over the past three months? Are there any overdue invoices, and which promotions can I offer?\u201d<\/p>\n

The same principle applies to customer service. An order received in an unstructured format<\/a>, such as a PDF or a photo, can be read, matched to products in the catalogue and prepared for validation without the need for manual re-entry.<\/p>\n

What does agentic AI need to work effectively?<\/strong><\/h2>\n

The outcome depends on the quality of the foundations<\/strong>. Product data needs to be up to date, commercial terms consistent and systems able to communicate with one another.<\/p>\n

A promotion, for example, should follow the same rules whether it is offered by a sales rep during a negotiation or selected by a customer reordering through the B2B portal. If the rules differ between channels, the AI assistant will inherit those inconsistencies.<\/p>\n

With the right foundations in place, AI can support multiple stages of the sales process, from preparing for a customer visit to receiving and processing an order.<\/p>\n

For more on this topic: \u201cSales Force Automation in the age of AI\u201d<\/a><\/p>\n

A day in sales with agentic AI: join us for the webinar on 5 November<\/strong><\/h2>\n

What if a sales rep could prepare for a customer visit simply by asking a question, receive suggestions on commercial opportunities and spend less time entering orders?<\/p>\n

On 5 November 2026 at 5:00 pm<\/strong>, we will host the webinar \u201cFrom schedule to order: 5 moments when AI gives time back\u201d<\/strong>.<\/p>\n

We will follow a typical day for a food & beverage sales team through practical examples and demos, showing how agentic AI can support sales reps, customer service teams and customers who place orders independently.<\/p>\n

If you want to find out how much time can be given back to customers and sales, <\/strong>register for the webinar on 5 November!<\/strong><\/a>
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There are ten minutes to go before the first customer visit. The sales rep needs to retrieve the latest order, check for any outstanding payments and see which promotions are available. The information already exists within the company, but it is spread across the CRM, ERP and different reports. At the same time, back at […]<\/p>\n","protected":false},"author":22,"featured_media":82282,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false},"class_list":["post-82272","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nAgentic AI for sales teams in food & beverage<\/title>\n<meta name=\"description\" content=\"Discover how agentic AI reduces the time sales reps and customer service teams spend searching for data and manually processing orders in food & beverage. 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