PredictHQ

When a major event hits town, the economic ripple effect can be massive – which is why popular destinations leverage Predictive Demand Intelligence to: ✅ Anticipate economic fluctuations ✅ Maximize event-driven opportunities ✅ Foster year-round economic vitality Read the article to learn how to use predictive demand intelligence to master event-driven demand fluctuations and drive balanced growth across regions. #predictivedemand #eventtourism #cityplanning 

We estimate that Fleet Week happening now through Oct. 14 will generate $92 million for San Francisco businesses, benefiting key sectors like: 🏨 Accommodation – Airbnb & Hotels for the influx of tourists and guests. 🍽 Restaurants – Where visitors and locals alike enjoy the city's diverse coffee & culinary scene from Philz Coffee to In-N-Out to House of Prime Rib. 🚖 Transportation – CitiBikes, Waymos, Ubers, Lime Scooters, and Lyfts getting everyone where they need to be, whether to the waterfront or exploring the city. Events like Fleet Week show how important it is for businesses to be prepared for these economic boosts. Is your business ready to capitalize on similar types of events? To see more intel like this, create a free account at https://lnkd.in/exJvtpsE #SFFleetWeek #DemandForecasting #PredictiveAnalytics #BusinessOperations #StrategicPlanning

Accurate demand forecasting requires dynamic data that captures what’s happening in the real world 🌎 Read the blog to discover how to improve your forecasting accuracy, master predictability, and take control of demand volatility with Predictive Demand Intelligence.

Ready to stay ahead of market fluctuations and predict the unpredictable? Use our tutorials to integrate predictive demand intelligence into your forecasting models and boost your accuracy by 10% or more. ✅ Gain a competitive edge with more accurate demand predictions ✅ Get industry-specific guidance for your unique business needs ✅ Follow step-by-step tutorials for a smooth implementation Ready to start predicting the future? Dive into PredictHQ's tutorials today! https://lnkd.in/ekfgi7wJ

In collaboration with IBM and INRIX, our Predictive Demand Intelligence is being leveraged to enhance model training to predict traffic accident risk with 91.4% accuracy and an AUROC of 0.901. Read the article to learn more about how data-driven urban planning is paving the way for smarter, safer cities of the future 💡

PredictHQ's pre-built event features can be added directly to your ML models for demand forecasting, with no preprocessing needed. Learn how to integrate these features to boost your forecasting accuracy in 3 simple steps: https://lnkd.in/ehAZywjV

Real-world events impact traffic—fact. I wish my favorite mapping & navigation services took this into account to save not only myself but millions of people countless hours. What do I mean? Imagine PredictHQ integrated into Tesla navigation, as shown in these mock-ups. Let’s call this feature “Events of Impact” (EOIs), which would assist drivers in making smarter decisions both in real-time and proactively. For example, I avoided San Francisco last week because of Dreamforce and the LA Dodgers being in town 🫣!

AI models trained on real-world events can transform your forecasting, giving you the dynamic insights needed to perfectly staff, stock, and anticipate customer demand at scale. Leading companies are using advanced analytics to: ✅ Boost accuracy by 9X ✅ Reduce errors by 2% ✅ Increase revenue by $1.3M Read the article to discover how to combine PredictHQ's Predictive Demand Intelligence and Snowflake's Cortex AI to unlock unprecedented accuracy and adaptability in your demand forecasting models. https://lnkd.in/e3iSh2bV

Leading fast-food restaurant chains are using predictive demand intelligence to power advanced forecasting models that predict food orders before customers even place them. Read the article to learn how to boost demand forecasting accuracy by at least 10% by integrating PredictHQ's event features into your models in three simple steps. https://lnkd.in/eFZ8u4W7

Our Features API is your one-stop shop for pre-built event features. By merging these features with your existing dataset based on location ID and date, you're adding a layer of real-world context to your models which is proven to boost forecasting accuracy by at least 10%. Learn more: https://lnkd.in/eMtHnWBi Stay tuned for our complete tutorial tomorrow on how to integrate event features into your forecasting models for smarter, more predictive insights.