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.

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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.

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Data Foundation

Data Foundation

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Data governance

Data governance

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community of analysts

community of analysts

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al/ml solutions

al/ml solutions

The Bottom-line Impact:

The Bottom-line Impact:

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$1M+ Cost Savings

Institutionalizing Data-driven Decisions for USA’s 3rd Largest Convenience Retailer

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10% improvement

in forecast accuracy resulting in +$5MM savings and a 5% reduction in spoilage.

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$15M worth of grocery

and general merchandise shrinkage identified through inventory and asset-based transaction monitoring.

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Improvement in online assortment

from 400 to 1.5K + SKUs per store creating a better guest experience and increasing share of wallet.

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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

header_Banner_Industries

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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