AI 136 · Cold Chain AI

Cold Room Optimization

Compares options, recommends the setting or plan with the best outcome and shows the expected gain. Data sources: Cold chain, Lot & batch tracking, Export & logistics.

  • OptimisationModule type
  • 3Data source
  • 15Language

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What is the best option for cold chain?

Optimisation recommendation

Cold chain — Average temperature by location (lower is better)

#UnitValueVersus average
1Soğuk Hava Deposu0.38 °C-69%
2Mamul Ürün Deposu1.28 °C+5%
3Sevkiyat Aracı 34 FCR 0421.99 °C+64%
  • Best: Soğuk Hava Deposu (0.38 °C); weakest: Sevkiyat Aracı 34 FCR 042 (1.99 °C). The gap is 1.61 °C.
  • Recommendation: compare Sevkiyat Aracı 34 FCR 042 practices with Soğuk Hava Deposu; just bringing the weak unit up to the average (1.21 °C) gives a clear improvement.

Data summary

  • Cold chain — Temperature readings: 24, Average temperature: 1.2 °C, Highest temperature: 4.6 °C, Variance: 1
  • Lot & batch tracking — Lot: 7, Quantity: 35,900
  • Export & logistics — Shipment: 3, Delivered: 1

Notable findings

  • Temperature excursion recorded — Cold chain: 1.000

Recommended actions

  • Temperature excursion recorded: review the Cold chain records, clarify the cause with the person responsible and open a task if needed.

This answer was produced by the local analysis engine (statistical analysis, no LLM connected). Connect a provider in AI Settings for richer natural-language answers.

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