This document discusses challenges with current supply chain monitoring from farm to fork and proposes a solution using tsenso's gapless monitoring approach. Key points: - Current monitoring has few control gates and important storage details are lost, increasing risk over quality assessment. - tsenso's solution uses a combination of sensors and temperature modeling to provide continuous, multi-dimensional monitoring with high transparency. - An initial pilot with a producer, logistic hub, and stores was successful in providing continuous temperature data with little handling time. - The goal is to use detailed monitoring data to better assess temperature excursions and microbial decay, reducing food waste through more accurate freshness decisions.

1. tsenso Supply Chain Innovation
Improved Supply Chain Monitoring from Farm to Fork
Copyright: fotolia, ake1150

2. Cool Chain Challenges
Few control gates
where cargo temperature is
cross-checked & documented
Storage history data reduced
to ok / n.ok
Important details that influence
shelf life are lost.
→ risk mitigation rather
than quality assessment
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= ok = n.ok
Individual monitoring systems are not connected
Copyright: fotolia, ake1150

3. Gapless Monitoring Chain
Multi-dimensional
approach:
Combination of sensor
measurements and
temperature modeling to
reduce number of sensors
needed
One sensor per pallet
often enough:
Small number of sensors
per shipment largely
increases hygienic
knowledge
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Increased transparency and security

4. Sensor Use Cycle
Cost per sensor:
~ 2 € per use
Low handling cost:
Wireless sensor data
exchange in < 1 min
Use Cycle:
tsenso takes care of
sensor destribution
logistics (comparable to
EUROPOOL / IFCO
vegetable containers)
Additional quality assessment cycle by random sample monitoring with high-
presicion, low-cost loggers

5. Pilot Test with RTO & METRO HU
13.10.2016 14.10.2016 15.10.2016 16.10.2016 17.10.2016 18.10.2016
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time [ date ]
Temperature[°C]
Cargo temperature evolution
tsenso 65:34 tsenso A0:D9 tsenso B6:04
tsenso E3:64 tsenso EE:37
Who Where When
Producer Xxxx, BE 13.10.2016
Logistic hub Vecsés, HU 18.10.2016
METRO stores Budaörs &
Szombathely, HU
20.10.2016
+ Pilot finished successfully:
gapless high precision monitoring data
+ Very little handling time at producer,
logistics platform and at stores
+ Temperature evolution of full pallet
can be modeled by therm. simulation
− Strong influence of sensor position
demands for initial calibration

6. How to Assess Excursions?
Detailed knowledge on
storage and transport
conditions will make small
temperature violations
transparent.
Will this result in more food
waste?
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BacterialMass[ mg ]
Temperature[ °C ]
Temp A Temp B Bac Mass B.
Does better knowledge result in more food waste?

7. How to Assess Excursions?
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BacterialMass[ mg ]
Temperature[ °C ]
Temp A Temp B Bac. Mass A Bac Mass B.
Does better knowledge result in more food waste?
No, detailed knowledge is
basis for better decisions!
The green transport arrived in
better hygienic conditions,
although the temperature limit
has been exceeded.
(Bac. Mass, right axxis)
Copyright:

8. „Fresh Index“
The fresh index is calculated in combing product traceability data
(e.g. f-TRACE, PRO TRACE) with logistic and monitoring details.
It provides a new quantitative assessment for freshness and hygienic quality,
based on gapless monitoring data.
The Fresh Index represents a dynamic, real-time shelf-life prediction, down to
the individual product pallet.
app draft: product information

9. Dr. Matthias Brunner
Founder and CEO
tsenso GmbH
Ludwigstraße 17b
70176 Stuttgart
Tel.: +49 175 52 34 632
E-Mail: m.brunner@tsenso.com
Web: www.tsenso.com
Development of farm to fork monitoring:
• Initial trial with METRO successfully completed
• Algorithms of microbiological decay proven
successfull
• Now we are searching partners for new pilot „Fresh
Index“:
• Real-time knowledge of hygenic conditions
• Reduce food waste by correct assessment of
temperature conditions
Next steps