Using Copilot in Retail

The retail industry plays a significant role in the global economy and is impacted by spending patterns, economic conditions, and global inflation. Focus is on improving inventory management and efficiency, optimizing their supply chain, analyzing and monitoring inventory and forecasts, and hiring and retaining frontline workers.

CDW used Microsoft 365 Copilot to improve work quality for 88% of users, enabling 77% to complete tasks faster and increasing productivity for 85% of users.

Joos uses Microsoft 365 Copilot to grow its brand with worldwide collaboration by streamlining meetings, optimizing presentations and improving communications.

Elcome uses Microsoft 365 Copilot to improve the customer experience, reducing response times from 24 hours to eight hours.

Insight Canada implemented Microsoft 365 Copilot to streamline business operations, realizing a 93% productivity gains in functions including sales, finance and human resources.

 

Download the Retail scenarios kit
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Microsoft Copilot opportunity to impact key functional area KPIs

Review our KPI overviews and view additional scenario details.

Improve Retail margin

Better manage costs, discounts, and pricing to improve average margins.

Optimize marketing spend

Ensure your marketing budget is used efficiently with research, analytics, and personalization capabilities that help you reach customers wherever they are in their shopping journey.

Reduce employee churn

Reduce time spent on shift scheduling while optimizing coverage requirements. Improve employee morale with improved communication and simplified schedule changes.

Increase conversion rate

Help customers move from ‘browse’ to ‘buy’ with personalized shopping experiences that understand context to surface the perfect product, targeted marketing campaigns that maximize the power of your marketing spend, and helpful answers in the pocket of every store associate.

Boost customer satisfaction

Streamline processes that lead to greater customer satisfaction, from analyzing multiple data sources to understand which products to stock to ensuring product availability and answering customer questions in-store.

Improve store revenue

Provide real-time monitoring of sales, inventory, customer feedback, and staff performance across different locations and/or channels by leveraging data from various sources to quickly gain actionable insights.

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Transform Retail processes

Key processes Before AI Using AI
Deliver personalized shopping experiencesAI can significantly enhance marketing and promotions for retail organizations by enabling hyper-personalized marketing at scale, automating routine tasks, and providing predictive analytics. It helps retailers understand customer behavior, optimize supply chains, and make data-driven decisions to reduce waste and maximize profit. AI-driven recommendations and virtual agents improve customer experience by providing personalized assistance and support.

Reduce time and costs traditionally required for content development while improving quality and engagement.

React quickly to demand to maximize sales

Use Copilot to develop and launch personalized campaigns across surfaces

Drive efficiency through AI-assisted store associatesAI can help enhance retail store operations by optimizing inventory management, improving customer satisfaction, and boosting sales conversion rates. It can also reduce employee turnover through better shift scheduling and optimize marketing spend by leveraging data analytics. Additionally, AI can personalize customer interactions, automate daily tasks, and enhance data security, driving long-term growth and efficiency for retail organizations.

Help improve store associate activities

From finding product information to tasks and procedures, Copilot can help improve store operations

Improve sales with product discovery and personalization

From finding product information to supporting returns, Copilot can help to improve customer service

Analyze data and develop corrective actions

Improve merchandising and supply chainAI can significantly enhance merchandising and supply chain operations for retailers by analyzing purchasing patterns and market trends to predict demand accurately and help optimize inventory management. AI-driven analytics provide real-time insights, enabling retailers to make data-driven decisions and improve efficiency. It helps in tracking shipments, forecasting inventory needs, and automating warehouse management, reducing overstock and stockouts. Additionally, it helps in optimizing product placement, pricing, and promotions by leveraging machine learning and data analytics. This leads to improved efficiency, customer satisfaction, and ultimately, increased sales.

AI can help fashion designers identify trends and design new collections as well as assess demand to size production runs accurately.

Merchandising teams can use Copilot Chat to identify new products to carry in stores.

Handle shipping regulations with ease

Speed research and improve strategy development and communications

Update product mix with process improvements from market analysis to vendor agreements

Manage the supply chain process from contracts to inventory

Retail roles