While adoption is low at approximately 20% of industry, senior executives know that this is not hype. As well they should, in review of 400 AI cases, a Harvard study showed the deep learning could account for $3.5 Trillion to $5.8 Trillion in total annual value. In following the money, these cases are across 19 industries and nine business functions boiled down to a few areas of immediate and significant impact. Companies investing in AI, are starting to outpace their competitors
to include inventory and parts optimization
The greatest value in AI is predictive maintenance, by its ability to process massive amounts of data in both audio and video, quickly identifying anomalies to prevent breakdowns.
Enabling forecasting on underlying casual drivers for demand rather than prior outcomes, increasing the accuracy, efficiency, and lowering costs.
to include pricing and promotion, customer-service analytics and sales demand forecasting
Utilizing AI, able to identify and eliminate unproductive customer discounts, an example. Another is automating pricing rules, and optimizing pricing.
to include inventory and parts optimization
The greatest value in AI is predictive maintenance, by its ability to process massive amounts of data in both audio and video, quickly identifying anomalies to prevent breakdowns.
Enabling forecasting on underlying casual drivers for demand rather than prior outcomes, increasing the accuracy, efficiency, and lowering costs.
to include pricing and promotion, customer-service analytics and sales demand forecasting
Utilizing AI, able to identify and eliminate unproductive customer discounts, an example. Another is automating pricing rules, and optimizing pricing.
Utilizing Big Data for automated re-order supply solution, that tracks both inventory and sales across 72 stores, for forecasting and auto re-order.
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