
Études de cas
Unstable customer promise (delivery times, messaging, shipping options)
Inconsistent OMS generating phantom stock and overselling
Customer support overloaded with more than 1,800 open tickets
Full funnel analysis (acquisition → conversion → delivery → post-purchase)
OMS and WMS diagnostic and stock management review
Deep analysis of customer support tickets and returns
Business-level review of margins and hidden operational costs
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03
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Recalculation of real delivery timelines
4
Simplification of the purchase journey
5
Realignment of logistics and transport flows
The CRM system was amplifying operational issues instead of helping manage them.
Aligning CRM scenarios with operational reality
Cleaning transactional triggers
Rebuilding post-purchase communications
Creating a feedback loop between OMS, logistics and customer support
Résultats

IMPACT CLIENT
Customer support tickets reduced from 1,800 to fewer than 200 within weeks
Stabilization of the e-commerce system and improved execution reliability significantly reduced customer friction and support load.

PERFORMANCE
Conversion rate stabilized and improved
A clearer customer journey and aligned value proposition restored commercial performance across key touchpoints.

OPÉRATIONS
Improved coordination between operations and logistics reduced delivery issues and order cancellations.
Improved coordination between operations and logistics reduced delivery issues and order cancellations.

FIABILITÉ
Fewer disputes with transport partners
Better alignment of logistics flows led to fewer delivery incidents and improved operational reliability.


