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Traditional forecasting looks backward. Demand Sensing Playbooks look at the present: POS velocity, web traffic, social signals, weather patterns, and competitor activity. The difference between planning for last quarter and acting on this week.
3 categories showing demand acceleration not in current forecast. POS velocity up 14% week-over-week in the Southeast region across 2 SKU clusters. $2.1M revenue opportunity if inventory repositioned within 10 days. Web search signals confirmed demand-led trend 8 days before POS data reflected the shift.
The Challenge
Traditional demand planning uses monthly or quarterly cycles built on historical shipment data. By the time the forecast updates, real-world demand has already shifted, and inventory positions are misaligned with what customers actually want.
POS velocity, web search trends, social media sentiment, weather disruptions, and competitor pricing all influence near-term demand. These signals are available today, but most planning teams have no way to incorporate them into their weekly or daily decisions.
A demand spike detected 10 days earlier means inventory can be repositioned to capture the opportunity. Detected 10 days late means stockouts in the right locations and excess in the wrong ones. The window between signal and action determines the outcome.
How eyko Solves It
A Demand Sensing Playbook connects to your POS systems, web analytics, market data feeds, and inventory positions. It detects demand shifts in near-real time, identifies categories accelerating or decelerating ahead of the forecast, and recommends inventory repositioning actions within the actionable window.
The Playbook identifies 3 product categories showing demand acceleration not reflected in the current forecast. POS velocity in the Southeast region is up 14% week-over-week, driven by 2 specific SKU clusters. Estimated revenue opportunity is $2.1M if inventory is repositioned within the next 10 days.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
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FAQ
Everything you need to know about Demand Sensing Alert.
Demand Sensing is an AI-powered capability that detects real-time shifts in customer demand using near-term signals like point-of-sale velocity, web search trends, social media activity, weather patterns, and competitor behavior. Unlike traditional forecasting that projects from historical data, demand sensing reads the present and flags emerging trends within days rather than weeks. The output includes specific categories and regions showing acceleration or deceleration, along with recommended inventory actions.
The Demand Sensing Playbook connects to your POS or sell-through data, web analytics (Google Trends, site traffic), social listening feeds, weather data services, and your inventory management system. It combines real-time transaction velocity, search volume trends, sentiment indicators, and current stock positions to detect demand shifts and model the inventory response required to capture the opportunity.
Demand forecasting predicts future demand over weeks or months using historical patterns and statistical models. Demand sensing detects demand changes happening right now using real-time signals like POS velocity and web traffic. Forecasting answers "what will demand be next quarter?" while sensing answers "what is demand doing this week that the forecast missed?" The two are complementary. Sensing catches short-term shifts that forecasting models are too slow to incorporate.
The Playbook ingests point-of-sale transaction data (daily or intraday), web search volume for product-related terms, social media mentions and sentiment, local weather data for seasonal categories, competitor pricing and availability signals, and promotional calendar data. Each signal is weighted based on its historical correlation with actual demand in your specific categories, and the weighting adjusts automatically as those correlations change over time.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
