AI commodity trading dashboards with real-time market intelligence in a modern trading office

The Sell Environment

AI-driven commodity intelligence, automated market timing, and real-time financial command. From USDA shipping-point data to retail shelf pricing, Zooberry’s Sell Environment transforms raw market signals into revenue-maximizing decisions—executed automatically, at the speed of markets.

AI commodity arbitrage dashboards displaying USDA price feeds, ML hold/sell recommendations, and market scenario simulations
Market Intelligence + ML

Commodity Arbitrage Agent

Zooberry ingests real-time and historical pricing data from every major produce market data source in North America, then runs ensemble machine learning models to tell you exactly when to hold and when to sell—down to the variety, the region, and the week.

Data Sources

  • USDA Market News — Shipping-point reports (f.o.b. prices at packing house), terminal market prices (wholesale at destination), and retail price tracking across all major US markets. Updated daily.
  • USDA NASS Crop Reports — National Agricultural Statistics Service production estimates, cold storage holdings, and utilization data. Monthly and annual releases that move markets.
  • World Apple and Pear Association (WAPA) — Global supply-and-demand forecasts covering 50+ countries. Quarterly hemispheric crop estimates for southern vs. northern production overlap windows.
  • The Packer — Industry trade publication pricing, retailer promotional calendars, and category management intelligence. Weekly aggregation.
  • Yakima Valley Market Wire — Regional spot price feeds from the largest apple and pear growing district in the US. Real-time bid/ask quotes from packers and brokers on the ground.

ML Pricing Model

  • Ensemble Architecture — Combines Prophet (seasonal decomposition), LSTM neural networks (sequential pattern recognition), and XGBoost (gradient-boosted trees for feature interactions) into a stacked ensemble. Each model captures different market dynamics—seasonal trends, momentum patterns, and supply shock responses.
  • Training Corpus — 10 years of weekly USDA price data covering 47 apple varieties, 12 pear varieties, and 8 cherry varieties across all major shipping points. Over 2.4 million price observations with features including weather events, import volumes, cold storage inventory levels, and retail promotional cycles.
  • Hold/Sell Recommendations — Example: “Hold Fuji in CA for 6 weeks—projected price increase of $4.50/carton based on supply dip in Week 12. Confidence: 87%. Historical accuracy for similar conditions: 82%.”
  • Alert System — Push notifications and SMS alerts triggered by price crossover events: “Red Delicious spot price crossed $22/carton—15% above your COGS. Recommended: sell 40% of inventory now. Estimated revenue capture: $186,000.”

Market Scenario Simulation

  • What-If Analysis — Monte Carlo simulation engine models 10,000 market scenarios for different sell timing strategies. Drag sliders to explore: “What if I hold 60% until March and sell 40% now?” The simulator shows probability-weighted revenue distributions, downside risk, and expected value for every combination.
  • Integration — Connects directly to your packing house shipping and inventory management system. When the AI recommends a sale and you approve, one click generates the BOL, schedules the truck, and pushes the invoice—from recommendation to revenue in under 60 seconds.
Grower reviewing automated retail RFP proposals, contract management, and dynamic pricing on tablet dashboard
Retail Automation + AI

Direct-to-Retail AI Connector

Traditional produce distribution relies on brokers who take 8–15% commission and add layers of opacity between you and the buyer. Zooberry’s Direct-to-Retail AI Connector eliminates that middleman, connecting growers directly to grocery chain procurement systems with AI-generated proposals that win contracts.

Automated RFP Response

  • Procurement Monitoring — When grocery chains (Kroger, Walmart, Costco, Albertsons/Safeway, regional co-ops) issue produce RFPs or open bid windows, the AI detects and auto-generates white-label proposals tailored to each retailer’s specific requirements, brand guidelines, and category manager preferences.
  • Proposal Contents — Each auto-generated proposal includes predicted available volume by week (pulled from your pack-out forecast and cold storage inventory), quality grade distribution (Fancy, US Extra Fancy, Juice), organic certification status (USDA Organic, Transitional, Conventional), and full packaging options with UPC assignments.
  • Retailer-Specific Formatting — Proposals auto-format to match each chain’s procurement portal schema. Walmart uses Retail Link specifications. Kroger uses their Category Management template. Costco requires roadshow pricing tiers. The AI handles all of it.

Dynamic Pricing Engine

  • Floor Price Calculation — Calculates your minimum acceptable price based on actual COGS (pulled from Financial Command AI) plus your configurable margin target. Default target is 22% gross margin, adjustable per variety and per buyer.
  • Competitive Positioning — Cross-references current market pricing, competitor pack-out timing (estimated from USDA cold storage data), and retailer promotional calendars to position your bid at the optimal price point: high enough to protect margins, low enough to win the contract.

Contract Management

  • Delivery Window Tracking — Monitors every committed delivery window across all active contracts. Alerts you 14 days before any delivery that is at risk of shortfall based on current inventory and pack-out rates.
  • Quality Spec Compliance — Automatically cross-references each retailer’s quality specifications (minimum color, maximum pressure, brix levels, defect tolerances) against your pack line’s computer vision grading data to ensure every shipment meets or exceeds contract specs.
  • Penalty Threshold Monitoring — Tracks penalty clauses (late delivery fees, quality rejection chargebacks, short-ship deductions) and provides early warning when any contract is approaching a penalty trigger.

Disintermediation Impact

  • Commission Elimination — Bypass the traditional broker taking 8–15% commission on every carton sold. For a 500-acre apple operation shipping 200,000 cartons annually at $24/carton average, eliminating a 10% broker commission recovers $480,000 per year in direct savings.
  • Relationship Ownership — You own the retail relationship directly. No more wondering what price the broker actually negotiated vs. what they reported back to you. Full transparency on every transaction.
Financial Command AI showing neural-net COGS modeling, profitability heatmaps, and scenario analysis for orchard operations
Financial AI + Analytics

Financial Command AI

Most growers cannot tell you their true cost per bin. They estimate. They average. They guess. Zooberry’s Financial Command AI calculates exact cost per bin from planting through sale using a neural-net COGS model that tracks every dollar across every stage of production.

Neural-Net COGS Model

  • Cost Category Tracking — Every input is captured and allocated at the block level: land lease or ownership cost (amortized), irrigation (water rights, pump electricity, drip line maintenance), spray materials (fungicides, insecticides, growth regulators, adjuvants), labor (pruning crews, thinning crews, picking crews, foremen), fuel and equipment (tractor hours, sprayer passes, mower passes), equipment depreciation (scheduled and usage-based), packing costs (line charges, packaging materials, box labels), cold storage (CA room rental, electricity, SmartFresh application), transportation (per-mile trucking, reefer fuel surcharges), and sales commission (broker fees, if applicable).
  • Allocation Precision — Costs are allocated not just to the block, but to the row. GPS-tracked tractor passes and labor time-clock locations attribute spray costs, labor hours, and equipment usage to specific rows within a block. The result: row-level profitability analysis that no spreadsheet can match.

Profitability Heatmap

  • Color-Coded Orchard Map — A satellite overlay of your entire orchard where every row is color-coded from deep green (highly profitable) to deep red (loss-making). Click any row to drill into cost breakdown, yield data, pack-out percentage, and revenue per bin.
  • Actionable Insights — Example: “Row 14–18 of Block 3 lost $1,200 last season due to hail damage + low pack-out (43% vs. block average of 71%). Recommendation: install hail netting. Estimated cost: $18,000. ROI payback: 2.1 seasons based on projected loss avoidance of $8,600/year.”
  • Year-Over-Year Comparison — Toggle between seasons to see which rows are trending better or worse. Identify chronic underperformers that may warrant replanting, variety change, or management practice adjustments.

Scenario Modeling

  • Variety Replacement Analysis — Example: “What if we replace Gala with Cosmic Crisp in Blocks 5–8? Projected 5-year NPV: +$340,000. Assumptions: 3-year non-bearing period, $12,000/acre replanting cost, Cosmic Crisp premium of $8/carton over Gala, yield ramp to full production in Year 5.”
  • Capital Investment Modeling — Evaluate any investment: new trellis systems, high-density replanting, robotic harvester purchase vs. lease, solar installation for cold storage, irrigation system upgrades. The AI models cash flows, tax implications (Section 179, depreciation schedules), and net present value at your chosen discount rate.
  • What-If Market Scenarios — Stress-test your operation against adverse conditions: “What if apple prices drop 20% next season?” “What if minimum wage increases to $20/hour?” “What if we lose 30% of crop to a late frost?” The model recalculates profitability across your entire operation and identifies which blocks become uneconomic under each scenario.

Investor Reporting

  • Auto-Generated Quarterly Reports — GAAP-aligned financial statements generated automatically from your operational data. Includes income statement, balance sheet impact, cash flow statement, and key performance indicators (yield per acre, cost per bin, revenue per acre, pack-out percentage, gross margin by variety).
  • Board-Ready Presentations — One-click export to PDF or PowerPoint with charts, maps, and executive summaries. Designed for farm ownership groups, family trusts, and institutional investors who need professional-grade reporting without a dedicated CFO.
Ghost Grower turnkey AI operation dashboard showing entity management, contract network, and automated revenue tracking
Turnkey AI + Automation

Ghost Grower — Turnkey AI Operation

For investors, family offices, and new entrants who want to own orchards without operating them. Ghost Grower is a fully automated management layer that handles everything from entity formation to harvest sales—you own the land and the revenue, Zooberry runs the operation.

Entity Formation

  • Automated LLC Setup — In-app guided workflow creates an agricultural LLC in orchard-friendly states (Washington, Oregon, California, Michigan, New York). Includes registered agent assignment, EIN application, operating agreement generation, and state filing. Integrated with legal partners for review and execution.
  • Tax Optimization — Entity structure recommendations based on your situation: single-member LLC, multi-member LLC, S-Corp election, or trust ownership. The AI models tax implications including agricultural property tax exemptions, Section 179 deductions, and conservation easement opportunities.

Contract Network

  • Farm Management Matching — AI matches your acreage, variety mix, and geographic location with vetted farm management companies from Zooberry’s network. Includes performance ratings, cost benchmarks, and reference checks from other Ghost Grower clients.
  • Performance Monitoring — Real-time oversight of your contracted farm manager through Zooberry’s sensor and drone data. You see every spray application, every irrigation event, every labor deployment—whether you are on-site or across the country.

Equipment Leasing

  • In-App Financing — Lease autonomous robots, drone fleets, IoT sensor arrays, and edge AI compute nodes directly through Zooberry. No upfront capital required. Lease payments are factored into your COGS model automatically.
  • Fleet-as-a-Service — For operations that do not want to own hardware at all: subscribe to Zooberry’s regional robotic fleet. Harvesters, sprayers, and mowers deployed to your orchard on-demand during peak periods, then redeployed elsewhere when idle.

Automatic Offtake

  • Floor Price Guarantee — Pre-negotiated contracts with juice processors (Tree Top, Mott’s, regional cider houses) serve as a guaranteed floor price for your entire crop. If the fresh market price exceeds the juice price, the Commodity Arbitrage Agent sells fresh. If it does not, the juice contract activates automatically.
  • Revenue Diversification — Beyond juice, Ghost Grower auto-enrolls in hard cider partnerships, dried fruit processors, and baby food manufacturers. Multiple revenue channels reduce single-buyer risk.

Revenue Model

  • Aligned Incentives — Zooberry takes 1.5% of gross revenue—no fixed fees, no per-acre charges, no setup costs. We only make money when you make money. This structure means Zooberry is incentivized to maximize your yield, optimize your pack-out, and time your sales for peak pricing.
  • Transparent Accounting — Every dollar is tracked in the Financial Command AI dashboard. You see gross revenue, COGS breakdown, Zooberry’s 1.5% fee, farm management fees, equipment lease payments, and your net income—updated in real-time as sales close.

Market Data Sources

Zooberry aggregates the most comprehensive set of produce market data available, covering domestic and international supply, wholesale and retail pricing, and industry intelligence. Every feed is normalized, timestamped, and piped into the Commodity Arbitrage Agent’s ML pipeline in real-time.

Source Data Type Frequency Coverage
USDA Market News Shipping-point prices (f.o.b.), terminal market wholesale, retail tracking Daily All US markets
USDA NASS Crop production estimates, cold storage holdings, utilization reports Monthly / Annual National
The Packer Industry news, pricing indices, retailer promotional calendars Weekly North America
World Apple & Pear Association Global supply/demand forecasts, hemispheric crop estimates Quarterly 50+ countries
Terminal Markets Wholesale prices at destination (NYC, Chicago, LA, Seattle, etc.) Daily Major US terminals
Retail Scanner Data Consumer-facing pricing, volume sold, promotional lift analysis Weekly Partner retailers

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