MVP delivered in 4 months
Context
Many ships leave ports without being filled to capacity. CMA CGM estimates that 30% of bookings do not arrive before the cut-off date, and CROs (Cargo Readiness Officers) cannot anticipate which bookings will be cancelled or not.
Moreover, CROs do not have a common tool or a standardized way of working. This greatly complicates the consolidation of cancellation volumes and the analysis of their root causes.
This is why it was decided to build an interface offering CROs all the information they needed during the readiness process, as well as a probability of risk of cancellation. The aim: to identify cancellations as soon as possible and to prevent them proactively.
Challenges
- A very large number of data sources to be aggregated (voyage, ibook, ibook, icutoff, nova, AI Snowflake team...)
- Difficulty in setting up agile rituals in a culture oriented towards a cascading method
- Find compromises between business needs and the vision of architects, for example on risk calculation
Our approach
Theodo teams built the front-end of the application in close collaboration with Customer Care teams and CROs in Germany and Turkey in order to maximize adoption. We proposed an agile and lean way of working, compatible with CMA CGM's IT constraints, in order to meet deadlines (IT1, IR2, etc.).
What made the difference:
Right-First-Time
We defined functional priorities by reconciling business needs and technical constraints.
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Network of Teams
We coordinated front (Theodo) and back (Infosys) developments by defining sprint goals and common backlogs.
Learning Organization
We aligned all teams (business, Infosys, stakeholders, APIs) in order to build a technology-oriented product and to decompartmentalize organizations.
“Great job on how you managed to release this MVP in such a short period of time, especially how you interfaced with our teams and technical providers. Let's program a REX.”
Our impact
Division by 15
83% of cancellations with visibility > 7 days
En 4 mois, CARA a permis de réduire les annulations cargo de dernière minute de 30 % à 2 %, tout en améliorant la prévisibilité des opérations. Désormais, 83 % des annulations sont identifiées plus de 7 jours à l’avance, contre 14 % auparavant, permettant aux équipes d’agir plus tôt pour sécuriser le remplissage des navires. Un projet mené dans des délais contraints, sans compromis sur la robustesse de la solution ni son adoption à l’échelle mondiale.
