Review

RetailNova Insights Review

Demand planning models and retail dashboards that improved inventory confidence and planning cadence.

Project facts

Details at a glance

Average rating 4.67 / 5
On-time delivery 4 / 5
Quality 5 / 5
Service 5 / 5
Project RetailNova Demand Optimization
Client Priya Nair
Client role Head of Merchandising Analytics
Company RetailNova
Approved at 2026-04-23

We saw faster decision cycles, better demand planning, and a clearer path from experimentation to production after the engagement. The team helped us separate merchandising assumptions from model outputs, which made the forecast easier for planners to trust.

The dashboards are practical, focused, and much easier to explain in weekly reviews.

Pius Imwene

Written by

Pius Imwene

Pius Imwene is a Data Analyst, Data Scientist, and analytics consultant specializing in data analysis, business intelligence, dashboards, data cleaning, predictive analytics, machine learning, and statistical reporting. Through Data Science Consulting Pro, he helps…

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