Improving stock accuracy for better forecasting

I’ve been diving into our stock level accuracy lately, and it’s fascinating how closely it ties to our demand forecasting. We noticed a 15% discrepancy last month between what was recorded and actual stock, which threw off our projections. Is anyone else facing similar challenges? How are you tackling discrepancies in your inventories?

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It’s wild how a little inventory mix-up can feel like organizing a sock drawer — looks good until you try to find a match! One thing that helped us was implementing regular cycle counts to catch discrepancies before they snowball — have you tried that, or do you have another method in mind?

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Less than a 15% discrepancy would be a win for us; we faced closer to 25% last quarter! I found that using real-time tracking software, like TradeGecko, has helped us a lot in minimizing errors. Have you considered implementing any specific tech to combat these discrepancies, @marcus_l89?

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