Profit data was locked in spreadsheets. Now, managers use natural language to diagnose sales drops and score hospitality via store audio.
A leading Japanese restaurant chain operating approximately 3,000 locations across 20 brands and serving 350 million customers annually.
Diagnosing specific sales drops required manually cross-referencing weather, promotions, and menu changes, while profit and loss data remained locked...
“ここまでのスピード感で進められた事は圧倒的なメリットでしたが、技術的な観点でも非常に大きな転換になりました。例えば、従来のやり方を踏襲するならば、一度音声データを Cloud Storage などに置いて、プログラムから処理するというやり方を採用していたかと思います。しかし、今回のディスカッションを通して、最終的には BigQuery から直接 Storage のデータを書き起こし処理まで行うなど、最新の機能を踏まえたよりシンプルな構成で実現できるという結論に至ることができました”
Operator of family restaurant chains and food service brands across Japan.
Helped Skylark improve transcription and detection accuracy for its greeting recognition project.
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