The Customer’s Ask:
Our client, the 3rd largest convenience store chain in the US with over 2,400 stores across the country, wanted to establish a data and analytics CoE to drive innovation and efficiency across supply chain, store operations, marketing, merchandising, and more.
The Customer’s Ask:
Our client, the 3rd largest convenience store chain in the US with over 2,400 stores across the country, wanted to establish a data and analytics CoE to drive innovation and efficiency across supply chain, store operations, marketing, merchandising, and more.
The Tredence Slant:
Tredence created dedicated squads to deliver true value differentiation for the client by developing next-generation data analytics and technology transformations.
Tredence created dedicated squads to deliver true value differentiation for the client by developing next-generation data analytics and technology transformations.
Data Foundation
Data Foundation
Data governance
Data governance
community of analysts
community of analysts
al/ml solutions
al/ml solutions
The Bottom-line Impact:
The Bottom-line Impact:
Institutionalizing Data-driven Decisions for USA’s 3rd Largest Convenience Retailer
in forecast accuracy resulting in +$5MM savings and a 5% reduction in spoilage.
and general merchandise shrinkage identified through inventory and asset-based transaction monitoring.
from 400 to 1.5K + SKUs per store creating a better guest experience and increasing share of wallet.
The Customer Reaction:
Tredence is our main partner helping us develop several AI/ML models and the production planner is very impactful for our operations. It forecasts the number of pizzas we need to make, down to the hour, so we get the right pizza, to the right customer at the right time.
the Complete Case Study
Crack the Code for Data-driven Decisions and Empower Exponential Sales
The Customer Reaction:
Tredence is our main partner helping us develop several AI/ML models and the production planner is very impactful for our operations. It forecasts the number of pizzas we need to make, down to the hour, so we get the right pizza, to the right customer at the right time.
the Complete Case Study
Crack the Code for Data-driven Decisions and Empower Exponential Sales
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