Retail Data Challenge
Logistics costs are a black box. Every euro counts.
Cross-reference transactional data and shipping costs from your data warehouse to identify optimization levers.
“We knew our logistics were expensive, but we couldn't pinpoint which products, channels, or regions were the most costly.”
VP Supply Chain
Textile retailer, 150 stores
The challenge
Transport, warehousing, and return data live in different schemas in your data warehouse. Without automatic cross-referencing via a semantic layer, it's impossible to identify cost reduction levers.
Solution
How Myriade solves this challenge
Unified logistics cost view
Myriade connects WMS, TMS, and ERP schemas in your data warehouse to show real logistics costs per product, channel, and zone.
Return analysis by origin
Identify the products and channels generating the most costly returns with AI, directly from Snowflake or BigQuery.
Delivery circuit optimization
Natural language queries to explore optimization scenarios: click & collect vs home delivery, order grouping, etc.
-18%
Logistics costs per order
-25%
Avoidable return rate identified
÷4
Supply chain analysis time
Ready to solve this challenge?
Book a personalized demo and discover how Myriade can transform your data team.