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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. Experience building strategies like these have been  used by online retailers for years.

B2C 58
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Building a sustainable automotive supply chain

IBM Big Data Hub

For example, the chip shortage has been a call to action for both original equipment manufacturers (OEMs) and suppliers. Supply shortages can lead to line outages, manufacturing delays, out of stock issues and lost revenue. Provide an enhanced ordering experience to customers while accelerating growth and profitability.

B2B 66
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State of the Union: CCPA and Beyond in 2020

Data Protection Report

The majority of companies that did include the button/link were in the retail sector. For example, the initiative would potentially extend the 12-month “look-back” period so that a consumer could request data from more than 12 months prior to the request with respect to information collected on or after January 1, 2022.

Privacy 49
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State of the Union: CCPA and Beyond in 2020

Data Protection Report

The majority of companies that did include the button/link were in the retail sector. For example, the initiative would potentially extend the 12-month “look-back” period so that a consumer could request data from more than 12 months prior to the request with respect to information collected on or after January 1, 2022.

Privacy 40
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Everyone Needs Master Data Management (MDM), But Don’t Call It That

Reltio

For example Customer, Organisation, Product, Location. For example your ERP system is probably great at Products and Suppliers; your CRM system is pretty good at Customers; your CDP is wonderful for Digital Consumers and so on. Reduce operating expenses by $6million through removal of legacy data management systems and processes.

MDM 98
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Kofax advances enterprise-wide deployment of next-generation robotic process automation to rapidly and exponentially scale the digital workforce

Info Source

Since implementation, we’ve combined Lean process optimisation with RPA to cut processing times (for example by 85%, or from over 40 minutes to just 6). Kofax RPA has eliminated 100 percent of the cost of routine B2B portal updates and eliminated costly transcription errors,” said Darren Klaum, Director, Business Systems at PITT OHIO. “By