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When the Safest Decision is the Riskiest One
Why delaying AI investments costs more than you think. The compounding math behind an AI agents investment, and what a year of waiting actually costs.
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The long tail problem: why most of your accounts never hear from a rep
In B2B distribution, the top 20% of accounts get 80% of rep time. The other 60-80% drive a quarter of the revenue, and almost nobody is calling them. The math, the cost, and the only model that fixes it.
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The 4am order: why distributors lose millions to after-hours demand
Up to 60% of B2B reorder intent lands outside business hours. Most distributors capture less than a quarter of it. Here is the math, and what an AI agent per customer changes.
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Your Biggest Competitor Isn't A Better Company. It's A Company Using AI
The companies eating your market share this year aren't better, they just deployed AI first. What the numbers, and our 10,000-agent pilot, prove.
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Forecasting demand spikes 7 days out
A practical look at how short-horizon demand models help distribution teams stage inventory and pre-sell capacity before the spike hits.
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From dashboards to decisions: closing the loop
Most "AI for sales" stops at the dashboard. The teams winning are the ones whose AI takes the next action automatically.
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Cutting handle time without cutting quality
How distribution teams shrink rep handle time by 40% while their CSAT goes up, by letting agents do the typing, not the talking.
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