Data and AI for consumer goods and retail
Plan workforce and stock against real demand, unify marketing data across markets, and take repeatable work off busy teams.
Common challenges
What slows consumer goods and retail teams down
Markets run separately
Each country has its own tools, so there's no single view
Manual lead and order handling
Teams re-key data between systems instead of selling
Planning on gut feel
Staffing and stock don't follow demand
Use cases
Where we help
Workforce analytics
Available people against production targets
Marketing data platform
Campaign, CRM and web data unified across countries
Lead and order automation
Routine steps automated, exceptions routed to people
Demand forecasting
Forecasts planners can act on
Our work
Relevant engagements
Analytics & BI · Nestlé
From scattered HR data to workforce planning teams can act on
Workforce analytics for supply and demand planning
Read the case study →AI workflow automation · EMEAFrom manual lead handling to automated marketing operations
80% less manual workload across 20+ EMEA countries
Read the case study →Services