# PerishFlow: full site content

> PerishFlow is an AI-powered cargo environment management system for refrigerated shipping containers (reefers). It senses conditions across every cargo zone, understands them in the context of the produce on board, predicts deterioration before it is visible, and acts through control modules to protect shelf life in transit.

Source: https://www.perishflow.com. This file mirrors the website for AI assistants and is regenerated on every release.

## The problem

A container knows its set point. Not the condition of its cargo. Quality loss in transit is usually discovered at the destination, when it is too late to do anything but file a claim.

- **One sensor, one number.** Conventional reefers control on return-air temperature. Hotspots near the doors or deep in the stow go unseen.
- **Invisible chemistry.** Ethylene build-up and shifting CO₂ / O₂ accelerate ripening long before a single piece of fruit looks different.
- **Found too late.** Without a record of cargo condition, damage surfaces at discharge — and becomes a dispute instead of a decision.

~14% of the world's food is lost between harvest and retail (source: FAO, The State of Food and Agriculture 2019).

## The system: Sense → Understand → Predict → Act

### 1. Sense

Distributed probes across multiple cargo zones — not one return-air sensor — capture the real environment around the fruit.

Covers: Temperature, Humidity, CO₂, O₂, Ethylene, Airflow, Shock.

### 2. Understand

Raw readings are interpreted in context: what the cargo is, when it was harvested, and how long it still has to travel.

Covers: Produce type, Harvest date, Voyage duration.

### 3. Predict

Models estimate shelf-life risk, ripening acceleration, hotspots and condensation before any damage is visible.

Covers: Shelf-life risk, Ripening, Hotspots, Condensation.

### 4. Act

Control modules respond to the prediction — then PerishFlow measures whether the response actually worked.

Covers: Air circulation, Humidity, Ethylene filtration, CO₂ management.

### Conventional reefer vs PerishFlow

| Capability | Conventional reefer | PerishFlow |
|---|---|---|
| Knows its set temperature | Yes | Yes |
| Measures conditions in every cargo zone | No | Yes |
| Tracks ethylene, CO₂ and O₂ around the produce | No | Yes |
| Understands what the cargo is and how old it is | No | Yes |
| Predicts deterioration before it is visible | No | Yes |
| Acts on a specific zone and verifies the result | No | Yes |

## Commodities

Every cargo spoils differently. PerishFlow starts with high-value fresh produce; seafood, dairy, pharmaceuticals follow. Ranges are indicative and vary by cultivar, maturity and voyage length.

### Pineapple

- Temperature band: 7 – 10 °C
- Relative humidity: 85 – 90%
- Ethylene profile: Low producer
- Chilling-sensitive: Yes
- PerishFlow control priorities: Chilling-injury avoidance; Humidity balance; Zone uniformity

Too cold and internal browning appears days after discharge — invisible at the port.

### Mango

- Temperature band: 10 – 13 °C
- Relative humidity: 85 – 90%
- Ethylene profile: Climacteric producer
- Chilling-sensitive: Yes
- PerishFlow control priorities: Ethylene scrubbing; Ripening-rate prediction; Hotspot detection

One warm pocket near the doors can trigger ripening that spreads through the load.

### Banana

- Temperature band: 13 – 14.5 °C
- Relative humidity: 90 – 95%
- Ethylene profile: Highly sensitive
- Chilling-sensitive: Yes
- PerishFlow control priorities: Ethylene control; CO₂ / O₂ management; Premature-ripening alerts

A narrow band between chilling damage and green-life loss makes precision essential.

### Table grapes

- Temperature band: -1 – 0 °C
- Relative humidity: 90 – 95%
- Ethylene profile: Non-climacteric
- Chilling-sensitive: No
- PerishFlow control priorities: Condensation prevention; Humidity management; Rapid pull-down

Free water on the bunches invites decay — condensation risk matters as much as temperature.

### Berries

- Temperature band: 0 – 1 °C
- Relative humidity: 90 – 95%
- Ethylene profile: Low producer
- Chilling-sensitive: No
- PerishFlow control priorities: Fast pull-down; CO₂ enrichment; Condensation risk

Short natural shelf life means every hour out of band is expensive.

### Avocado

- Temperature band: 5 – 7 °C
- Relative humidity: 85 – 90%
- Ethylene profile: Climacteric, sensitive
- Chilling-sensitive: Yes
- PerishFlow control priorities: Ripening control; Ethylene filtration; Controlled atmosphere

Softening in transit is the classic claim — prediction lets you act before it starts.

### Citrus

- Temperature band: 3 – 13 °C (by type)
- Relative humidity: 85 – 90%
- Ethylene profile: Non-climacteric
- Chilling-sensitive: Yes
- PerishFlow control priorities: Variety-specific bands; Chilling-injury avoidance; Decay risk

Lemons, oranges and mandarins each want different conditions — context is everything.

### Cut flowers

- Temperature band: 0 – 2 °C
- Relative humidity: 90 – 95%
- Ethylene profile: Highly sensitive
- Chilling-sensitive: No
- PerishFlow control priorities: Ethylene filtration; Humidity control; Airflow uniformity

Trace ethylene from a mixed load can wilt a shipment before it reaches auction.

## Business model

Hardware in the box. Intelligence on every voyage. Built for exporters, shipping lines, logistics operators and importers.

- **Hardware:** Sensing and control modules, sold or leased per container.
- **Per-shipment analytics:** AI condition monitoring priced per voyage.
- **Dashboard subscriptions:** Live and historical views for exporters and importers.
- **Fleet analytics:** Enterprise insight across lanes, vessels and seasons.
- **Cargo-condition reports:** Evidence for claims, insurers and quality disputes.
- **Platform APIs:** Condition data piped into TMS, ERP and trading systems.

## Roadmap

- **Phase 1: Sensing & baseline data** (current). Build the multi-zone sensing infrastructure and create baseline datasets from real shipments.
- **Phase 2: Predictive models**. Train deterioration and shelf-life models on commodity-specific data.
- **Phase 3: Active control**. Integrate airflow, humidity, ethylene and atmosphere control with closed-loop verification.
- **Phase 4: Commercial scale**. Scale with shipping lines, exporters and logistics partners across key trade lanes.

## Contact

PerishFlow is speaking with investors, exporters, logistics operators and research partners: to pilot a sensing kit on a live lane, share commodity expertise or data, or discuss investment. Email info@aflatus.com or use the form at https://www.perishflow.com/#contact.

## Company

- PerishFlow is a part of Aflatus (OPC) Private Limited (CIN U46301TN2025OPC184784).
- Registered office: Chennai, Tamil Nadu, India.
- Founder: Mohamed Ashfaaq Kalifulla ([F6S profile](https://www.f6s.com/member/mohamed-kalifulla)).
- Stage: Pre-MVP (Phase 1: sensing infrastructure and baseline datasets).
- Contact: info@aflatus.com
- Website: https://www.perishflow.com