ARTIFICIAL INTELLIGENCE (AI)

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 

Let's Talk About Artificial Intelligence Solutions

TOP EXAMPLES OF AI USAGE by Operational Area

MANUFACTURING

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.

SUPPLY-CHAIN MANAGEMENT

Enabling forecasting on underlying casual drivers for demand rather than prior outcomes, increasing the accuracy, efficiency, and lowering costs.

MARKETING & SALES

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.

MANUFACTURING

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.

SUPPLY-CHAIN MANAGEMENT

Enabling forecasting on underlying casual drivers for demand rather than prior outcomes, increasing the accuracy, efficiency, and lowering costs.

MARKETING & SALES

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.

our success

Utilizing Big Data for automated re-order supply solution, that tracks both inventory and sales across 72 stores, for forecasting and auto re-order.

  • Warehousing costs have been lowered  thru optimization of forecasts.
  • AI with seamless integration for supply-chain logistics.
  • Processing payments automatically.
  • Encompassing over 1,000 products and growing, with 60 distributors.
  • Employing multiple variables and now including weather and spoilage.

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