Wine Industry's Bottom Line Improved By AI
Marie Donlon | July 21, 2017
Image credit: AilyticWith customers like Pernod Ricard, Accolade Wines, Treasury Wine Estates and Angove Family Winemakers, southern Australian tech firm Ailytic has improved the efficiency of wine production by employing artificial intelligence (AI).
Using a technique called “prescriptive analysis,” the AI program considers all of the factors that go into the mass production of wine, including temperature, inventory and the changeover from white wine to red wine production.
Obtaining information about these factors from remote sensors located near machines and vineyards, the AI program designs an operation schedule that helps wine companies save both time and money.
According to Pernod Ricard Global Business Solutions Manager Pauline Paterson, the AI design helped increase the wine industry's bottom line.
"We use it mainly around the production line and use it to derive the most efficient way to produce our product," she said.
"It is definitely helpful with changeover, how many bottles we need, how much wine and what order to do everything in."
Traditional methods of mass producing wine could take anywhere from three to six hours. However, according to Ailytic, the AI program can reduce this process by almost 30 percent.
"Our algorithms work well for things like packaging, bottling, general manufacturing and sink manufacturing—the wine industry is where we are seeing a lot of appetite and the most uptake," said Ailytic co-founder and CEO James Balzary.
"People think of wine as a romantic artisan type of process, and it is, when you are producing small batch, but the majority of wines we drink are mass manufactured in big operations. That's where we come in—the more complex the business, the bigger the benefit."
Ailytic hopes to internationally expand its clientele in the very near future.