Maintaining lean supply chains and appropriate inventory levels drives costs savings and maximize sales. Use demand intelligence to improve both.
Dynamic pricing: Setting prices and packaging based on smarter forecasts.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Yield optimization: Tracking incoming demand ahead of the booking curve.
Merchant Services: Adding relevant demand causal factor insights to customer communications.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Inventory forecasting models can provide a general direction of stock levels. But when demand fluctuates and anamolies occur, business supply chains are not prepared, causing waste and missed opportunities.
Demand intelligence identifies demand catalysts based on intelligent event data so you can know future demand fluctuations before they happen, and prepare. Many teams can access and use demand intelligence. Technical teams can train their forecasting models with this data set while operations managers can create event alerts that will impact their inventory levels. Update inventory forecasting systems and readjust stock levels in advance to meet every flucutation.
Aggregate event data and establish correlation.
Predict future demand with intelligent event data.
Adjust supply chain strategy and inventory levels.
Real-world event data is dynamic, difficult to standardize, and often messy with duplicates and spam. PredictHQ solves these issues and identifies the aggregate event impact of historical events so businesses can correlate to their historical demand in minutes.
After correlation is identified, businesses gain visibility into which event categories impact their business most. Use the PredictHQ API to train your inventory forecasting models to know the amount of inventory you should have on hand at all times. You can also use Notifications to get alerts on when relevant events are scheduled or updated.
The right amount of inventory is crucial to any business. You can miss out on revenue when stock runs out or lose money when there’s excess stock. Let demand intelligence guide you to better understand demand anomalies so you can adjust your supply chain strategy and perfect your inventory count.
Learn how customers are integrating demand intelligence into their forecasting models and seeing value.
Don't underestimate how much effort it takes to work with event data... Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us.
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Dynamic pricing: Setting prices and packaging based on smarter forecasts.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Predictive Analytics
Data Centralization
Workforce Optimization
Dynamic Pricing
Demand Forecasting