The business intelligence market is full of firms that can build a dashboard. Finding one that can build a data foundation your leadership actually trusts is harder, and most organizations only discover the difference after the project ends and the numbers still don’t add up. The global BI software market sits at nearly $38 billion in 2026 and is on
Supply chains were already under pressure before recent years made it worse. Tariff volatility, raw material shortages, and shifting consumer demand exposed one hard truth: planning systems built on historical averages and quarterly cycles cannot keep up. Companies running on spreadsheet-based forecasting and reactive replenishment found out how expensive that gap is. According to McKinsey, companies that embed AI into
Retailers like Walmart, Target, and Amazon already run large parts of their merchandising and supply chains on predictions, not guesses. They forecast what shoppers will buy, when stock will run low, and which customers are about to leave. The rest of the industry is catching up fast. Predictive analytics uses historical and live data to estimate what happens next. For a
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