Purpose-built agents bring AI decision-making to weekly sales, promotions, new item launches, and resets—unlocking measurable margin impact for retailers.
SymphonyAI, a global leader in Vertical AI product platforms, announced the launch of the next generation of CINDE Merchandising Agents, introducing a new class of Merchandising Agents that embed agentic AI directly into weekly, promotional, launch, and reset workflows.
Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago
“SymphonyAI’s CINDE Merchandising Agents enable retailers to act on real-time, margin-driving insights—transforming merchandising decisions from reactive to proactive, powered by Microsoft Foundry.” —Manish Choudhary, President, SymphonyAI Retail
Purpose-built for merchants, the CINDE Merchandising Agents bring autonomous, role-based intelligence to the decisions that drive in-store merchandising margin:
The Merchant Planner – weekly sales insights and margin opportunities
The Promo Coach – causal drivers and optimization of promotional effectiveness
The Launch Analyst – early signals for new item success and correction
The Reset Advisor – post-reset impact and next-step recommendations
SymphonyAI uses Microsoft Foundry to build action-oriented, context-aware agents that continuously analyze performance, explain causal drivers, and recommend prioritized actions across every stage of merchandising.
Marketing Technology News: Complexity as a Cost Center: The Hidden Financial Burden of Fragmented Martech Stacks
Across retail merchandising workflows, margin-impacting signals often emerge several days before action is taken, driven by the manual interpretation and cross-tool analysis required to understand performance shifts. Even in organizations with advanced BI and planning systems, this delay compounds margin loss across weekly sales reviews, promotions, new item evaluations, and post-reset performance.
CINDE Merchandising Agents close that gap by delivering real-time decision-making that aligns to the merchandising lifecycle. Instead of waiting days for analysts to assemble and interpret data, the agents surface emerging issues, identify the true drivers behind them, and recommend the next best action—automatically.
Unlike traditional planning or BI tools, SymphonyAI’s agents are among the first to deliver autonomous, merchandising-specific intelligence throughout the full in-store cycle. Retailers gain the ability to identify what’s changing, understand why, and take the most profitable action earlier and more consistently—protecting and growing margin week after week.
This dynamic plays out quickly on the ground. When a regional grocer saw a decline in dairy performance, internal reporting pointed to competitive pricing pressure. The Merchant Planner agent surfaced the real driver within hours: a subset of stores had moved Greek yogurt off eye level during a planogram change, directly impacting sales. The agent recommended restoring placement in those stores, enabling the retailer to recover margin the following week instead of losing another cycle.
Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.