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Oracle Retail Demand Forecasting

Last fetched

Oracle Retail Demand Forecasting is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under predictive analytics, with a published adopter count of 9 hostnames.

Profile

Category
predictive analytics
Broader grouping
intelligence and analytics, operations
Published adopter count
9
Vendor
oracle.com

Oracle Retail Demand Forecasting is an AI-powered tool designed to help retailers accurately predict future demand for products and services. By utilizing machine learning and predictive analytics, it analyzes a wide range of data, including historical sales, consumer behavior, and market trends, to improve demand forecasts. This technology aims to align inventory levels with real demand, reduce forecasting errors, and streamline supply chain processes. It addresses manual deficiencies in traditional forecasting methods, ultimately enhancing decision-making across retail operations.

Vendor site: https://www.oracle.com/scm/ai-demand-forecasting

Sample adopters

9 hostnames WhisperGraph observed running Oracle Retail Demand Forecasting, a sample of the 9 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 9 Oracle Retail Demand Forecasting adopters, not of all 9 published adopters. A hostname counts once per network.

Related pages

Pivot from Oracle Retail Demand Forecasting into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.