Cargill APA | Automation Anywhere

No EDI? No Problem. Agentic AI Goes To Work

Cargill deployed a Support AI Agent designed to automatically extract order details from Salesforce, apply business logic using enriched data, validate orders against live inventory, complete the orders, and send confirmation emails—delivering a seamless, scalable solution with minimal manual burden on customer service reps.

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Customer Quote

We measure the success of automations as most do—value savings, revenue generated, etc. But we are trying to go beyond that by overdelivering to customers in the speed of business and in the quality of our service. We’re achieving that by automating back-office work and incorporating generative AI so sales representatives can focus on providing top-tier service.

Alfonso Garbanzo,
IA Tech Services Manager at Cargill

Customer achievements.

Customer Achievements

$10-15M

saved annually with one process

minute to process an order

Zero Disruption, Millions Saved: Transforming Order Management

From big businesses to small independent farmers, Cargill receives thousands of orders, all in different formats, none easy to process. This creates a chaotic, manual process that drains time, strains teams, delays shipments, frustrates customers, and puts future orders at risk. Cargill needed to engineer a solution that could accurately and efficiently handle each unique order format.

With Agentic AI, Cargill automated 70% of the entire order process, slashing processing time to under 1 minute per order. The results were immediate: customers appreciated zero disruption in order turnaround, while employees were freed from manual order entry—allowing them to focus on building stronger customer relationships. The ultimate payoff was a boost in efficiency that saves Cargill up to $15 million annually.

Processes automated.

Animal Nutrition Order Processing

The Innovation Doesn’t Stop Here

Far from resting on its wins, Cargill is doubling down on innovation. As new technologies emerge, it will continue refining existing processes and tackling complex use cases—unlocking even greater impact through the capabilities of AI.