NorthBay Solutions - Retail AI Agentic Platform - Autonomous Retail Ops

Fragmented data silos, isolated personas and manual aggregation paralyze critical decisionsacross demand forecasting, inventory planning, pricing, and promotions. Today, category managers spend the majority of their day acting as human API connectors across disconnected systems, resulting in a reactive environment where actionable insights are discovered too late. NorthBay Solutions’ Retail AI Agentic Platform addresses this challenge by providing dedicated, intelligent workspaces tailored to key retail personas, including Demand Planners, Inventory Managers, Pricing Analysts, and Promotion Managers. Co-innovated with the AWS Generative AI Innovation Center (GenAIIC) Partner Agent Factory (PAF), the platform replaces siloed operations with a collaborative "Multi- Agent" pattern. The platform continuously monitors the business to proactively flag areas needing attention. When one persona's AI agent detects an issue, such as perishable inventory nearing expiration, it enables tight integration by seamlessly pushing those items to the right counterpart, allowing an inventory planner to pass insights to a promotion manager to immediately launch a markdown campaign. Built natively on Amazon Bedrock, Strands Agents, and Amazon Bedrock AgentCore, the platform delivers enterprise-grade security, verifiable AI reasoning, and cross-departmental collaboration at scale.

Core Capabilities and Business Impact

Seamless Cross-Persona Collaboration: The platform actively breaks down operational silos by dynamically routing insights between departments. For example, if the platform alerts an Inventory Planner to perishable stock at risk of expiring, they can instantly push those items to a Promotion Manager’s workspace. The agents then autonomously drafts a targeted markdown campaign to recover revenue, turning a potential loss into a coordinated enterprise win.

AI-Driven Root Cause Analysis: Moving beyond static dashboards, the platform deploys a network of specialized AI domain agents (Demand, Inventory, Pricing, and Promotions) that analyze retail events simultaneously. When a stock anomaly occurs, the agents cross-references real-time inventory, shifting customer behavior, and competitor pricing to deliver the exact root cause in seconds, eliminating days of manual cross-departmental reporting.

"Run-Until-Goal" Predictive Simulations: Instead of returning basic historical averages, the platform dynamically simulates future scenarios. When category managers ask how much stock to buy, the agents simulate order quantities against supplier lead times, predicted demand shifts, and carrying cost constraints. The system relentlessly optimizes these variables to return the most reliable recommendation that meets predefined safety thresholds.

Proactive Operational Watchdogs: Replacing the reactive nature of traditional BI tools, the platform acts as a continuous, 24/7 monitor of your retail ecosystem. It proactively flags areas requiring human attention, such as impending stockouts, margin erosion, or competitor price undercuts, allowing teams to act strategically before issues impact the customer experience or the bottom line.

SOP-Grounded Retail Governance: Every AI-generated recommendation is strictly evaluated against your actual corporate Standard Operating Procedures (SOPs). Utilizing advanced authorization engines, the platform enforces hardcoded retail rules, such as maximum markdown percentages or automated reorder budget caps. Any action exceeding these thresholds automatically halts and triggers a Human-in-the-Loop (HITL) approval workflow, ensuring absolute enterprise control.