Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
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.
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
It is impossible to predict demand anomalies without accurate historical and future-looking data. At PredictHQ, we have a strong focus on forecast-grade, relevant data for your business.
PredictHQ is the single source of truth with coverage across 18 categories (and counting) and global event data coverage from hundreds of sources.
Data scientists spend 40% of their time gathering and cleaning data and only 11% of time on data science. We do the frustrating work, so you can focus on what matters.
import requests
response = requests.post(
url="https://api.predicthq.com/v1/features",
headers={
"Authorization": "Bearer $ACCESS_TOKEN",
"Accept": "application/json"
},
data={
"location": {
"place_id": [ "5809844" ]
},
"phq_attendance_sports": True,
"phq_attendance_conferences": True,
"phq_attendance_expos": True,
"active": {
"gte": "2019-02-01",
"lte": "2019-02-28" }
}
)
print(response.json())
PHQ Attendance View the size and impact of events at a more granular level, with PHQ Attendance, predicted attendance of an event.
import requests
response = requests.get(
url="https://api.predicthq.com/v1/events/",
headers={
"Authorization": "Bearer $ACCESS_TOKEN",
"Accept": "application/json"
},
params={
"rank.gte": "80",
"local_rank.gte": "80",
"place.scope": "5809844",
"aviation_rank.gte": "50",
"active.gte": "2019-12-29",
"active.lte": "2020-01-10",
"active.tz": "America/Los_Angeles"
}
)
print(response.json())import requests
response = requests.get(
url="https://api.predicthq.com/v1/events/",
headers={
"Authorization": "Bearer $ACCESS_TOKEN",
"Accept": "application/json"
},
params={
"q": "jazz",
"country": "US",
"category": "concerts",
"active.gte": "2020-02-20",
"location_around.offset": "5mi",
"start_around.origin": "2020-02-20",
"location_around.origin": "40.782409,-73.971885"
}
)
print(response.json())
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.
Read Legion’s Story Unlimited users, unlimited future visibility, starting for just $75 per month
Access to 3 business locations with maximum 5 miles radius only
No credit card required
Access to entire cities of your choice
Access to unlimited areas from cities to countries or even global access
Contact us for pricing
Tracking events is complex, it's why we exist. Our core business is to collect, verify and enrich data and we don't expect our customers to have it all figured out.
We know that many customers have their own internal event database or collect data from a variety of sources. Send us your current event data set and we'll tell you what what you may be missing across different event categories, number of events and quality of data.
Simple. Accurate. Free.
Knowing the impact of demand causal factors like events will transform your business. The American Society of Hematology has a $45M estimated economic impact — and that's only one event in one city.
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
Demand Forecasting: Incorporating events into models for smarter forecasting.
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.