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The State of AI Adoption in 2021: Retail Survey Findings

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Coresight Research

What's Inside

Having the right quantities of the right products in the right place at the right time is critical for retailers to meet consumer demand and optimize margins. We explore the state of AI (artificial intelligence) adoption in retail in 2021 across allocation planning, assortment planning, promotion management and forecasting.

Our insights cover best practices and challenges in AI adoption, key steps in progressing AI maturity and top priorities for gaining maximum return on investment.

We leverage findings from a June 2021 Coresight Research survey of 170 retail decision-makers in North America.

This report is sponsored by retail-focused AI software company Impact Analytics.

Non-subscribers can access the report by completing the form on this page.

Contents (Click to navigate)

What’s the Story?

Why It Matters

The State of AI Adoption in 2021: Retail Survey Findings

1  Allocation Planning: Issues Such as Infrequent Stock Replenishment Impact the Bottom and Top Line

2  Assortment Planning: Enterprise-Grade Applications Yield Significant Cost Savings

3  Promotion Management: Most Retailers Use Static Promotion Strategies

4  Forecasting: Traditional Approaches Are Still the Norm; Most Organizations Update Forecasts Infrequently or Irregularly 

Key Challenges Retailers Face in Adopting AI

Industry Best Practices

The State of AI Adoption: The Path Forward

Methodology

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