According to a recent LinkedIn post from Panintelligence, retail analysts may be spending up to 40% of their time on data preparation rather than actual analysis. The post suggests this lag can cause retailers to miss critical decision windows as business conditions change faster than reporting cycles.
The company’s LinkedIn post highlights the concept of “Retail Intelligence” as a means to move from delayed reporting to faster, clearer decisions in areas such as stock management, pricing, campaigns and operations. For investors, this emphasis underscores ongoing demand for analytics tools that improve decision speed, potentially supporting sustained interest in retail-focused data platforms and related technology vendors.
As shared in the LinkedIn content, the focus on reducing manual data work aligns with broader industry trends toward automation and real-time analytics in retail. If Panintelligence’s offerings successfully address these efficiency gaps, the company could strengthen its positioning in the retail technology ecosystem, which may translate into increased adoption and more resilient revenue streams over time.