Sodexo
A global enterprise with high transaction volume and complex service operations where process consistency directly affects cost and service quality.
Case Study
Enterprise Automation
Sodexo: from manual order handling to a scalable automated operation
Alakris designed and implemented an order-processing automation layer that helped reduce operating costs by around 2M RUB per year while supporting 1M+ orders at scale.
2M RUBannual operating cost reduction
1M+ ordersprocessed by the system
Near-zeromanual work in core order flow
Client Context
Large-scale enterprise operations with strict process reliability requirements
Control growth without linear staffing increase
Order volume was growing, but scaling through additional manual resources was financially inefficient and operationally fragile.
Challenge
Manual processing created cost pressure and delivery risk
The existing workflow relied on repetitive human actions in key processing stages. At higher volume, this led to cost expansion and quality inconsistency.
- Operating costs increasing with every growth cycle
- Higher error probability in repetitive tasks
- Slower throughput at peak demand periods
- Limited transparency for operational decision-making
Solution
Full-cycle order automation integrated into existing infrastructure
Alakris introduced a process architecture that automates intake, validation, routing and status handling while preserving compatibility with the client’s operational environment.
- Automated capture of order data from multiple channels
- Validation logic to reduce downstream processing errors
- Rules-based routing to correct operational owners
- Monitoring visibility for managers and process control teams
Outcome
Measured efficiency gains with enterprise-grade scale
~2M RUB / year
Operating cost reduction enabled by automation of routine processing stages.
1M+ processed orders
Stable processing at high volume without proportional increase in manual effort.
Consistent execution
Lower dependency on human-factor variability in the core order pipeline.
Why It Worked
Focused system design around real operational bottlenecks
Automation where business value is highest
Instead of broad overengineering, we prioritized process nodes that generated the largest cost and speed impact.
Designed for throughput and integration
The solution was built to fit current operations while keeping capacity for future growth and additional automation layers.
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