This AI assistant may occasionally provide inaccurate or incomplete information.
AI-powered answers about Ever.ag
LLM Model
Model Comparison Guide
Amazon Nova Pro
Current default
$0.80 / $3.20 per 1M tokens
Amazon's mid-tier model. Good balance of quality and cost for RAG chatbots. Strong at following structured prompts and formatting rules.
Amazon Nova Lite
Lower cost
$0.06 / $0.24 per 1M tokens
Faster and cheaper than Nova Pro. Good for straightforward Q&A. Test whether the quality drop is noticeable for your visitors.
Amazon Nova Micro
Lowest cost
$0.035 / $0.14 per 1M tokens
Text-only, lowest latency in the Nova family. Best for simple factual lookups. May struggle with complex formatting instructions.
Claude Sonnet 4
Highest quality
$3.00 / $15.00 per 1M tokens
Anthropic's latest flagship. Excellent at following nuanced system prompts, inline linking, and natural conversational tone. Most expensive option but often the best output quality.
Claude Haiku 4.5
Fast & affordable
$1.00 / $5.00 per 1M tokens
Anthropic's fast, affordable model. Surprisingly capable for its price. Great candidate if Sonnet quality isn't needed for every query — compare to see the tradeoff.
Llama 3.3 70B
Open weights
$0.72 / $0.72 per 1M tokens
Meta's latest open-weight model on Bedrock. Strong general-purpose performance with competitive quality. Worth testing for cost predictability.
Hi! I'm the Ever.ag assistant. Ask me anything about our products,
solutions,and services across the agriculture supply chain.
What can I help you with today? Pick an option below.
Before fully implementing Ever.Ag’s S&OP platform, Wholestone Prestage’s scheduling process relied heavily on manual coordination across multiple schedulers and twice-daily makesheet updates to keep pace with production demands. Balancing committed customer allocations alongside broader customer orders required constant attention and rapid adjustments, leaving little margin for error in a fast-moving operation.
Our customers count on us to deliver the right product, at the right time, every day. That takes constant coordination across our plants, teams and supply chain partners. We have to be as prepared as possible—accurately forecast what customers are going to buy, and then have a system to react accordingly when those orders come in.
Kevin Drietz VP of Business Management
Wholestone Prestage
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Ever.Ag Solutions
Ever.Ag deployed its protein-specific S&OP platform across both the Eagle Grove and Fremont facilities, integrating with Wholestone Prestage’s existing ERP to unify demand forecasting, production scheduling, and inventory allocation in a single source of truth.
Ever.Ag Solutions
Ever.Ag deployed its protein-specific S&OP platform across both the Eagle Grove and Fremont facilities, integrating with Wholestone Prestage’s existing ERP to unify demand forecasting, production scheduling, and inventory allocation in a single source of truth.
S&OP enabled the team to:
Replace the multi-scheduler, two-per-day manual makesheet cycle with Automated Production Scheduling
Automatically set aside committed inventory for key accounts with Inventory Allocation Management
Put the kind of predictive intelligence that was previously out of reach with AI-Powered Demand Forecasting
Work from the same real-time data with Organization-Wide Transparency
Results
Transparency is the thread running through every part of Wholestone Prestage’s S&OP story.
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One makesheet. Switching from two daily makesheets to one accurate, automated schedule eliminated mid-day disruptions and recaptured significant time for both scheduling staff and plant operations.
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Makesheet accuracy climbed from 90% to 92.5%+
With the right data driving scheduling from day one, Fremont regularly meets or exceeds Wholestone Prestage’s 92.5% accuracy benchmark.
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One scheduler per facility, where most operations run two.
Wholestone Prestage runs lean by design. As Fremont prepares to expand to six-day operations in 2028, Drietz is evaluating whether the system can fully self-schedule the added volume without additional headcount.
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Multi-facility integration in under three months.
When Eagle Grove came online alongside Fremont, the integration was completed in roughly three months.
“You have to stay actively involved with the platform. But the transparency it brings, that information is all there. You just have to go look for it, ask a question, and you can get it answered pretty quickly.”
Kevin Drietz VP of Business Management
Wholestone Prestage
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Built for What’s Next
Ever.Ag’s S&OP platform is designed to grow with the businesses that rely on it, and Wholestone Prestage is a clear example of that. As the farmer-owned cooperative looks to expand into more valued-added products, the team is already working with Ever.Ag to extend the platform into those planning workflows.
The AI capabilities within the platform are central to that future. Drietz sees predictive forecasting as one of the most valuable tools on the horizon, with the ability to model likely customer behavior based on years of order history and surface those insights before they show up in a purchase order. For a protein processor operating at scale, that kind of foresight isn’t a nice-to-have. It’s a competitive edge.
