Generative AI in Business Intelligence: Transforming Retail and CPG Operations

Typical Use Cases

Order fulfillment

Order fulfillment is critical for CPG companies, particularly as On-Time In-Full (OTIF) penalties have become standardized across major retailers. Supply chain analysts must evaluate multiple data sources—such as inventory allocations, plant stock levels, production schedules, and incoming orders—to ensure timely and complete deliveries. Adjusting delivery schedules in collaboration with retailers is often essential to avoid costly penalties.

With GenAI-led interactive predictive models, supply chain analysts can streamline this process by asking business questions for real-time data across these diverse sources. This enables them to make informed decisions that align with both immediate operational needs and broader organizational goals. By interacting with these models in natural language, the decision-making process becomes more agile, leading to improved order fulfillment and reduced OTIF penalties.

Store Out-of-Stock (OOS) Mitigation

Identifying out-of-stock (OOS) issues in real-time is critical for retailers to minimize missed sales opportunities and ensure a seamless customer experience. Traditionally, business analysts must rely on multiple predictive models and analyze data from various sources to make accurate replenishment decisions.

With GenAI/AI, retailers can enhance this process by integrating point-of-sale (POS) data, store-level inventory, ongoing in-store promotions, social media campaigns & reach, and open online orders. Additionally, GenAI/AI models can assess potential phantom inventory—a common challenge in retail environments where stock may not be accurately reflected in inventory systems. The store execution team can interact with GenAI model in human language and get insights on possible OOS situations. The hybrid model can also recommend optimal replenishment quantities and timing, ensuring shelves are stocked and sales potential is maximized.

Sales Planning Optimization

For general managers overseeing product lines, navigating through multiple reports is a daily challenge—ranging from last week’s sales, year-over-year comparisons, sales by store location or ZIP code, to promotions in progress or upcoming. Extracting actionable insights from these data sources to identify anomalies or opportunities is time-consuming and requires significant analytical effort.

By leveraging GenAI-powered narrow transformers, this process can be streamlined. These models quickly analyze diverse datasets/existing reports and deliver a comprehensive, one-page summary that highlights overall sales performance, promotion effectiveness, key opportunities, and even predicts next week’s sales. This not only saves time but allows managers to make data-driven decisions faster, keeping pace with rapidly changing market conditions.

1. Hallucination

Challenge: One common concern with GenAI models is “data hallucination,” where the AI generates outputs that may be inaccurate or misleading. This can be particularly harmful in retail and CPG environments, where decisions based on incorrect insights could disrupt supply chains, inventory management, or sales strategies.

Solution: To mitigate this risk, we focus on building narrow, domain-specific models. By training AI on targeted datasets—specific to retail or CPG operations—we reduce the likelihood of confusion, ensuring the model provides reliable and relevant insights. recommendations, empowering teams to make confident decisions.

2. Data Security

Challenge: For any business dealing with sensitive data—especially in retail and CPG, where consumer information and proprietary operational data are at stake—security is a top priority. Concerns about data exposure, particularly in AI-powered solutions,
often inhibit adoption.

Solution: To address these concerns, we develop end-to-end solutions that operate entirely within the client’s firewall. This ensures no sensitive data leaves the organization’s premises, maintaining control over security and compliance. Furthermore, we implement row-level access controls, ensuring only authorized users can access specific data, providing an extra layer of protection against breaches.

3. Cost of Operations

Challenge: Running GenAI models, particularly at scale, can incur significant operational costs due to the high computational demands of these models. Without proper oversight, these costs can escalate quickly, affecting profitability.

Solution: We tackle this by implementing FinOps-led strategies, Fit-for-Purpose hybrid model (GenAI, or AI/ML) and placing robust guardrails around GenAI operations. By optimizing computing resource allocation and limiting unnecessary queries or limiting the queries to LLM, we ensure that operations remain cost-effective. This proactive approach helps businesses maximize performance without incurring unsustainable expenses, allowing clients to extract value from GenAI while managing costs.

4. Business User Confidence

Challenge: Business users may initially hesitate to rely on AI-generated insights, especially if the rationale behind the AI’s decisions is unclear. In retail and CPG, where managers need to trust the data to optimize store operations, supply chains, or customer experience, this transparency is vital.

Solution: To foster trust and drive adoption, we offer transparent AI processes. Our systems provide a clear breakdown of how GenAI arrives at its conclusions, showing the actual queries and steps taken by the model. By making the AI’s decision-making process more accessible, business users can develop confidence in the technology and feel empowered to act on its recommendations.

Conclusion

By focusing on specialized models, secure on-prem deployments, cost-efficient operations, and transparent AI processes, we ensure that our clients can fully harness the power of GenAI to drive growth and efficiency. As your partner in innovation, we’re ready to help you take the next steps in leveraging GenAI for your business.

For a more in-depth conversation about how GenAI can be customized to meet your business needs, feel free to reach out to me directly.