Demand intelligence pipeline hero

NDA project

Demand Intelligence Pipeline

Data platform that combines internal and external signals to improve demand forecasting and inventory decisions.

Industry

Retail / Supply Chain

Country

EU

Platform

Cloud (Data Platform)

Partnership model

Dedicated
Development Team

Client Context

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:

  • ERP for inventory and supply
  • sales platforms for transactions
  • logistics systems for delivery data
  • external sources for market signals and trends

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.

Challenge

  • 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

Demand intelligence pipeline demo

Solution

We built a data pipeline that collects, cleans, and combines multiple data sources into one system.

The platform processes:

  • historical sales
  • seasonality patterns
  • external signals (promotions, regional trends)

This data feeds forecasting models and dashboards used by planning teams.

Team

  • 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

What We Delivered

  • Centralized data pipeline (ETL/ELT)

  • Demand forecasting models

  • Data warehouse for analytics

  • Dashboards for planning teams

  • Automated data refresh and processing

Timeline & Cost

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

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Impact & Results

Operational:

Faster access to reliable data for planning

Technical:

Single source of truth for demand data

Business:

Better inventory decisions, fewer stock imbalances

Technology Stack

  • Python
  • Airflow
  • DBT
  • Snowflake
  • Pandas
  • and more...

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