B2B software sales are broken—buyers struggle to find the right solutions, and sellers waste time pushing products that don’t fit. At BalanceWise, we research the inefficiencies in B2B software sales and explore how data, AI, and new methodologies can drive better decision-making for buyers and sellers
Problems with B2B Software Sales
We’re researching the fundamental issues in B2B software sales that make buying harder than it should be.
Companies hire large sales teams just to push products, not to solve problems
Buyers provide vague or misleading info, making it tough to understand their real needs
Buyers are overwhelmed by AI-generated marketing content, making it hard to separate signal from noise
Multiple decision-makers and long negotiation processes delay software adoption
Sales teams prioritize short-term deals over long-term customer satisfaction
Software marketplaces limit choices and push vendors that maximize their commissions—not the best fit for buyers
How AI Can Bridge the Gap
Our research explores how AI and data-driven approaches could eliminate inefficiencies and create a fairer, more effective B2B sales process.
AI can help buyers clearly define their actual needs, reducing miscommunication in sales
AI can analyze company needs and match them with the right software solutions—without biased sales pressure
AI-powered research can evaluate vendor performance more objectively than sales teams
Companies lack quantifiable metrics for software success—AI can track software adoption and efficiency
AI-driven marketplaces could create fairer, data-backed vendor comparisons—not just favor high-commission sellers