PromoPulse is an AI-powered promotional readiness concept created during the 2025 AI Hackathon to help retail teams identify stock risk and competitive pricing threats before campaigns go live.
Store managers often receive promotional plans without clear visibility into local inventory readiness. That gap drives stockouts, reactive transfers, and poor customer experience. At the same time, competitor price changes are hard to monitor at scale, leaving teams without timely signals to protect margin and demand.
Stakeholder Ecosystem
The product supports a multi-tier retail hierarchy, from frontline store decisions to regional intervention planning.
PromoPulse ingests competitor circulars from PDFs and images, then uses OCR and LLM pipelines to extract structured pricing and product signals. Those signals are matched to internal SKUs and campaign plans to generate early warnings for low inventory and pricing pressure.
To make the output useful, the system prioritizes only high-risk items across thousands of SKUs so teams can act quickly on what matters most.
Flags products using risk signals such as low inventory, historical underperformance, and adverse price position.
Visualizes price differences against key competitors, including percent deltas that inform tactical response.
The interface embeds live Regional Distribution Center telemetry directly in the decision workflow, giving teams supply context at the moment they review risk.
A visual timeline tracks fulfillment from order placement through RDC processing to delivery with ETA guidance.
Granular controls let users route alerts by channel and category, including pricing and inventory events.
A 24-hour delivery window required aggressive prioritization, narrowing from broad concept space to one high-impact, high-fidelity workflow.
The strongest value came from actionable recommendations, such as risk-prioritized restock decisions, rather than raw AI-generated output alone.