I came across a recent ๐๐ผ๐ฟ๐ฏ๐ฒ๐ article on forecasting accuracy that really resonated. It described forecasting as one of the toughest, most persistent hurdles in sales โ something that technology still hasnโt solved.
The piece cited ๐๐ฎ๐ฟ๐๐ป๐ฒ๐ฟ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต showing that 67% ๐ฐ๐ง ๐ด๐ข๐ญ๐ฆ๐ด ๐ฐ๐ฑ๐ฆ๐ณ๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ญ๐ฆ๐ข๐ฅ๐ฆ๐ณ๐ด ๐ฃ๐ฆ๐ญ๐ช๐ฆ๐ท๐ฆ๐ฅ ๐ค๐ณ๐ฆ๐ข๐ต๐ช๐ฏ๐จ ๐ข๐ค๐ค๐ถ๐ณ๐ข๐ต๐ฆ ๐ง๐ฐ๐ณ๐ฆ๐ค๐ข๐ด๐ต๐ด ๐ฉ๐ข๐ฅ ๐ฃ๐ฆ๐ค๐ฐ๐ฎ๐ฆ ๐ฉ๐ข๐ณ๐ฅ๐ฆ๐ณ ๐ต๐ฉ๐ข๐ฏ ๐ช๐ต ๐ธ๐ข๐ด ๐ช๐ฏ 2020. Harder, not easier โ despite the explosion of data and AI tools.
That says a lot about where we are as an industry. Weโve built increasingly complex systems to ๐ฎ๐ฆ๐ข๐ด๐ถ๐ณ๐ฆ the pipeline, but many teams have lost touch with the human signals that ๐ฅ๐ณ๐ช๐ท๐ฆ it.
AI can absolutely help โ itโs part of the answer. But if weโre not careful, it can also widen the gap between leaders and the reality of whatโs happening in their deals. We end up automating the illusion of control instead of improving it.
The challenge now isnโt to find smarter models. Itโs to bring those models closer to the truth of how deals actually unfold โ the judgment, the context, the conversations that no algorithm can see.
Worth a read for anyone leading a sales organisation right now.