FMCG and retail operations
Pizzaro - Golrang Industrial Group
Demand modeling, transaction segmentation, KPI frameworks, and product roadmap execution.
Overview
Context
Pizzaro needed better operational intelligence across inventory workflows, customer behavior, and team execution.
Challenge
Problem Space
Rule-based heuristics and fragmented prioritization were creating overstock risk, weaker targeting, and slower delivery cycles.
Solution Architecture
What shipped
Built scikit-learn demand models to improve inventory workflows and reduce overstock incidents.
Analyzed 500K+ transaction records with SQL and Python to surface behavioral customer segments.
Aligned 3 cross-functional teams with KPI frameworks, PRDs, and a prioritized backlog.
Improved operational workflow performance.
Increased through behavioral segmentation.
Accelerated roadmap delivery.
Technology Stack