How Top Retailers are Reshaping Omnichannel Performance with AI Agents How Top Retailers are Reshaping Omnichannel Performance with AI Agents
Technology

How Top Retailers are Reshaping Omnichannel Performance with AI Agents

March 26, 2025

Companies may experience significant revenue loss, missed sales opportunities, and higher operational costs as a result. And the longer the root causes of these issues are undiagnosed, the more losses compound over time.

The growing complexity of omnichannel retail presents a perfect opportunity for AI-driven solutions.

Why Visibility Matters

It's no wonder that large retailers struggle to manage inventory across multiple channels without real-time visibility into sales data, stock availability, and the ability to quickly fulfill orders from different locations.

The inability of traditional OMSs to analyze structured data (like customer and transaction data) with unstructured data (like customer feedback and behavioral and sensor data) makes maintaining consistent customer service and brand experience across platforms nearly impossible.

Not to mention the asset losses and security risks due to unexplained stockouts, warehouse inefficiencies, high claims rates, transportation delays, and more.

Limited Data Analysis is Costing You

The lack of advanced analytics capabilities has serious implications for retailers.

  • Lost revenue Stockouts, ghost inventory, and other errors lead to lost sales and markdowns.
  • Increased costs — Order execution inefficiencies and unnecessary cancellations result in expensive shipping decisions.
  • Lower margins — Retailers lack real-time visibility into fluctuating shipping costs and order value adjustments, limiting their ability to be proactive.
  • Limited visibility — Data overload from fragmented structured and unstructured data makes root cause analysis difficult.
  • Hard-to-track store performance — Without AI, execution gaps rely on anecdotal insights and slow, manual research.

But AI-powered data agents solve these challenges.

How AI Agents Protect Your Assets and Bottom Line

Autonomous AI data agents, like those in BeamUP for Retail, continuously analyze millions of data points across the supply chain to detect stock discrepancies, fulfillment inefficiencies, and asset protection risks.

They provide real-time root cause analysis and automated recommendations, enabling retailers to optimize inventory, reduce service disruptions, and improve overall operational efficiency.

Proactive inventory management prevents issues before they start. AI agents flag shrink, order risks, and stock discrepancies, quickly giving you the information you need to head off small problems before they become bigger ones.

With seamless omnichannel integration, BeamUP connects store, warehouse, and fulfillment data for smarter decisions, ensuring the right inventory is available in the right place at the right time.

And by proactively detecting risks and inefficiencies, BeamUP enhances asset protection and safeguards your brand’s reputation while maximizing profitability.

The result?

  • AI-powered automation eliminates manual investigations
  • 91% of insights drive cost savings

Get Superior Data Analysis and Asset Protection

AI-driven supply chain optimization is essential for retailers looking to remain competitive in an increasingly complex environment.

Advanced data analysis enables companies to prevent stockouts, encourage customer loyalty, and minimize asset losses and security risks.

BeamUP delivers proven cost savings, improved inventory accuracy, and stronger omnichannel execution, helping retailers maximize profitability and protect their brand reputation.

Talk to one of our experts to learn how BeamUP can optimize your retail operations.

BeamUP ROI

Customers leveraging the BeamUP Platform witness increasing ROI as data utilization grows, resulting in more powerful AI-driven insights.

$1.2M

Capital Expenditure

$4.7M

Operational Expenditure

$2.4M

Automated Compliance Checks

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