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      "text": "At Ocado, sequence to sequence deep learning models are now being used to forecast demand for ranges of up to 55,000+ products (SKUs). Monthly data from 2019 at Ocado Group’s UK Hatfield and Dorden sites showed cost savings of £250,000 per month thanks to 5% more accurate forecasting. In addition, waste reduced from 0.6% to 0.3% of total products, while product availability increased from 92% to 94.5%. Today, Ocado’s retail partners making use of this automated demand forecasting tool let it manage 98% of their replenishment decisions. They have seen 30% more accurate forecasting vs. previous solutions, saving time while slashing costs and food waste. The right graph shows 50-day forecasts (orange) vs. actual (black) for various SKUs.",
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