VANTIS™ · CALYX Analytics Platform

Harvest Intelligence — the plant, planned.

Predictive weight forecasting and harvest scheduling.

The CALYX analytics platform — the predictive-analytics and scheduling layer of VANTIS™, KYNAD's precision-poultry intelligence platform. CALYX engineers the whole stack: the AI-EYE™ camera is purpose-built from scratch, not off-the-shelf hardware bolted onto the software. Harvest Intelligence Software turns AI-EYE™ flock weight and Y-Series environmental signal into a forward harvest plan — rolling 3- and 7-day forecasts and a Cloud Connect scheduling app that lands more birds in the premium band. A processing-margin control system, not a monitoring tool.

HI
Function Predictive harvest planning& scheduling app
Forecast accuracy 3-day 97.5% · 7-day 96.7%
Validation Plant weightsMultiple breeds · every flock
Delivery Cloud Connectper-house subscription

From signal to a harvest plan.

Flock weight and shed environment are only useful if they translate into a decision. Harvest Intelligence Software is that translation layer — continuously forecasting harvest weight, timing and uniformity so planners and live-production teams act on tomorrow's flock, not yesterday's report.

Real-time growth tracking

Average daily gain and flock weight measured against each breed's genetic and house-specific historic curve — surfacing, e.g., a flock "~5 days behind target" on day 32, while there's still time to act.

3- & 7-day forecasting

Rolling weight and uniformity forecasts — 3-day 97.5% and 7-day 96.7% accuracy — with a real-time weight distribution (bell curve) and CV prediction for the premium target band.

Harvest schedule optimization

The engine processes millions of potential harvest combinations and returns the schedule that puts the most birds in the target weight range — aligning farm pull with daily plant demand.

Phase-feeding & risk flags

Adjusts starter→grower→finisher timing on actual growth, not calendar days, and raises early flags on growth and FCR risk before they reach the kill-floor report.

Validated at scale. The forecasting model delivers ~98.4% overall weight accuracy (1.6% MAPE), validated against plant weights, across multiple breeds (Ross 308 & 708, Arbor Acres, Cobb 500, and local lines) — with plant harvest weights closing the loop to sharpen the model with every flock.

What the forecast moves.

Daily farm-level weight and uniformity predictions let planners pick the exact day a flock peaks in the premium band — turning weight insight directly into fewer downgrades and more premium birds.

98.4%
Overall weight accuracy
Validated vs plant weights (1.6% MAPE)
97.5%
3-day weight prediction
7-day prediction 96.7%
~20%
Fewer downgrades
Data-driven harvest timing
+64%
More premium birds
US integrator · Thursday demand 144k birds

Source: AI-EYE™ weight & harvest intelligence field summaries. US integrator example: a difference of $0.10 per pound between downgrade and premium value. Figures are illustrative of validated deployments; actual outcomes vary by operation.

The Cloud Connect scheduling app.

Forecasts feed a harvest-scheduling application that plans optimized delivery to the processing plant with minimal downgrades. It works in three moves.

01/Planning

Optimization

Set processing targets and target-weight groups. The system processes millions of potential harvest combinations and identifies the schedule with maximum yield potential.

02/Selection

Daily selection

Choose the optimal number of farms Monday through Friday — with capacity utilization, half-house harvest options, and shed/house selection built in.

03/Implementation

Execution

Execute the plan that puts the most birds in the target weight range, with a daily farm schedule by shift, drag-and-drop between schedules, and export to Excel.

Inside the dashboard

Cloud Connect Dashboard · Harvest Scheduling Application

Setup processing targets & target-weight groups
Daily harvest projection & farm schedule by shift
Harvest grouping with half-house harvest option
Capacity utilization & plan review/adjustment
Processing-plant utilization view
Drag-and-drop between schedules · export to Excel
Real-time growth curve & weight distribution (bell curve)
3- & 7-day weight and uniformity prediction

The ROI model.

An illustrative AI-EYE™ + Y-Series™ economic model for a representative large-scale Australian operation (KYNAD + GreenSave partnership). It frames the platform as processing-margin control — every cent per kilo of margin compounds across the network.

~5.4×
Return on investment
>3× even in the low-performance case
2–3mo
Payback period
Full-platform deployment
~$40.8KA$
Net value per house/year
~A$50K value on ~A$9.3K cost
~$20.4MA$
Net gain · 500 houses
~$25.1M value − ~$4.7M cost

Value build-up · per house/year

Base case · ~40 g/bird weight improvement · A$ values

DriverBasisValue
Harvest-weight accuracy~40 g/birdA$20,300
Uniformity improvement~1.5%A$19,000
Processing optimization~0.5%A$6,300
Environmental & feed (Y-Series)~10% upliftA$4,500
Total value~A$50,000

Sensitivity & assumptions

Weight-improvement scenarios · ROI holds >3× at the low case

ScenarioValue/houseROI
Low case · 25 g~A$30K~3.2×
Base case · 40 g~A$50K~5.4×
High case · 60 g~A$65K~7.0×

Assumptions: 45,000 birds/house · 5.5 cycles/yr · 2.5 kg avg · A$2.05/kg live · ~619,000 kg/house/yr. Margin impact ~A$0.08/kg; every 1c/kg ≈ A$6,200 per house.

From variable performance to margin control. Without the platform, harvest weight varies ±70–120 g across a network and drives margin leakage at scale. With AI-EYE™ + Y-Series, variability stabilizes to ±30–50 g — reactive harvest becomes predictive planning, and farm-level gains convert into network-level margin control.

All figures illustrative. Australia benchmark model (AUD; system pricing converted from USD at ~1.42 FX). Percentage improvements reflect conservative, recoverable efficiency gains. KYNAD does not guarantee uplift or returns; actual outcomes vary by operation, market and grade premiums. Source: AI-EYE™ + Y-Series™ ROI Executive Briefing, KYNAD + GreenSave partnership.

Delivery & platform.

Harvest Intelligence Software is delivered as a Cloud Connect per-house subscription and consumes AI-EYE™ and Y-Series data on the AI-EYE™ platform. KYNAD's team handles onboarding for planners and live-production teams.

Forecast horizons3-day & 7-dayrolling, daily refresh
InputsAI-EYE™ + Y-Series™
Breeds validatedRoss · Cobb · Arbor Acres+ local lines
ExportExcel · plant scheduling
ParameterHarvest Intelligence Software
Portfolio pillarVANTIS™ — Precision Poultry Intelligence
CategoryPredictive-analytics & harvest-scheduling platform
Primary functionWeight forecasting + harvest schedule optimization
Forecast accuracyOverall ~98.4% (1.6% MAPE) · 3-day 97.5% · 7-day 96.7%
Validation basePlant-weight validation · multiple breeds (Ross 308 & 708, Arbor Acres, Cobb 500)
Core outputsGrowth curve, weight distribution, uniformity (CV), 3/7-day forecast, harvest schedule
Scheduling appProcessing targets, target-weight groups, half-house harvest, capacity utilization, daily schedule by shift, drag-and-drop, Excel export
InputsAI-EYE™ camera weight + Y-Series™ environmental data
DeliveryCloud Connect Dashboard · per-house subscription
Target speciesPoultry (broilers)
Cost benefit/ROI~20% fewer downgrades; ~5.4× ROI (illustrative Australia model)
Request

See the forecast in an AI-EYE™ demo.

Book an AI-EYE™ platform demo to see how AI-EYE™ and Y-Series feed Harvest Intelligence Software's 3- and 7-day forecasts and harvest-scheduling app. Platform specifications available to planning and IT teams on request.