Operational:
Faster access to reliable data for planning
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NDA project
Data platform that combines internal and external signals to improve demand forecasting and inventory decisions.
Retail / Supply Chain
EU
Cloud (Data Platform)
Dedicated
Development Team
The client operated across multiple regions with constantly changing demand patterns — driven by seasonality, local trends, and promotional activity. Data existed, but it was scattered across systems:
Forecasting relied on a mix of spreadsheets and basic tools. The client needed a way to move from fragmented data and reactive planning to a more reliable and timely view of demand.
Operational Pain: Teams spent hours consolidating data before making decisions
Technical Limitation: No unified data pipeline for real-time or near real-time analysis
Business Risk: Overstock and stockouts during peak periods
We built a data pipeline that collects, cleans, and combines multiple data sources into one system.
The platform processes:
This data feeds forecasting models and dashboards used by planning teams.
1x
Data
Engineer
1x
QA
Engineer
1x
Data Scientist
1x
Project Manager
1x
Backend Developer
1x
Data
Engineer
1x
QA
Engineer
1x
Data Scientist
1x
Project Manager
1x
Backend Developer
Centralized data pipeline (ETL/ELT)
Demand forecasting models
Data warehouse for analytics
Dashboards for planning teams
Automated data refresh and processing
Full breakdown is available under NDA
Discovery & Planning: 3–4 weeks
Architecture & Design: 4–6 weeks
Development: 4–6 months
Total Timeline: ~6–8 months
Discovery Phase: $25K–$40K
Design & Architecture: $40K–$70K
Development: $180K–$320K
Total Investment: $300K–$450K
Share a few details — we'll map scope, timeline, and cost
Faster access to reliable data for planning
Single source of truth for demand data
Better inventory decisions, fewer stock imbalances