Artificial Intelligence in Retail: Demand forecasting applications
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Innovation in the retail industry is relentless, making it hard to stay-on top of the dynamically evolving industry landscape and in early identification of profound shifts, posing high risk of being disrupted if detected too late. GlobalData's coherent data-driven approach, using multiple forward-looking alternative datasets, empowers clients by decoding in advance the disruptive innovations in retail industry. Using patents data, GlobalData's proprietary industry innovation s-curve identifies specific innovation areas and their stage of evolution, i.e., whether they are emerging, accelerating or maturing. This report specifically looks at artificial intelligence innovation in Demand forecasting applications for the retail industry and the leading companies, start-ups and adoption trends. These insights help in making informed strategic decisions for a more durable source of competitive advantage
Innovation S-curve for Artificial Intelligence in the Retail industry
Note:
* This is an “on-demand” report and will be delivered within 2 to 4 business days (excluding weekends and holidays) of the purchase.
* Certain sections in the report may be removed or altered based on the availability and relevance of data.
Scope
Decode the key disruptive innovations impacting the retail sector, with specific focus on Demand forecasting applications and its trends in patent filing, identifying the leading companies and start-ups (and those with unicorn potential), key application areas plus examples from real-world scenarios and leading countries driving the innovation. In addition, we gauge the adoption trends in Demand forecasting applications, by analyzing funding/investing trends, demand for human capital/jobs, social media buzz, company filings, and the latest news in the area
Key Highlights
Demand forecasting applications: innovation landscape, patent filings trend, leading countries innovating, key application areas, top innovators, potential unicorns, real-world innovations, alternative dataset to track adoption trends using deals, jobs, social media, company filings, latest news, plus deep dive on key companies in Demand forecasting applications
Reasons to Buy
• Identify emerging, accelerating, and maturing innovations in the sector likely to be disruptive in the future
• Evaluate key companies at the forefront of these innovations and their disruptive impact
• Discover key start-ups innovating in the area and uncover those with unicorn potential
• Build strategic technology / product roadmaps to stay ahead of disruption through actionable intelligence
LLC
SoftBank Group Corp
Pearson plc
EcoSense Lighting Inc
Capital One Financial Corp
ADOBE Inc
State Farm Mutual Automobile Insurance Co
NIKE Inc
Oracle Corp
International Business Machines Corp
Coupang Inc
Accenture Plc
Samsung Group
Genetic Finance (Barbados) Limited
Microsoft Corp
Bayer AG
Scaled Inference Inc
DataInfoCom USA Incorporated
Mastercard Inc
General Motors Co
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