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?
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?
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?