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Hershey uses AI tools to create a dynamic, opportunity-based daily route for its sales team. Instead of salespeople choosing where to go, the system tells them which specific store to visit next and what actions to take, maximizing efficiency.

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Human teams naturally focus on top-performing products and major retailers due to limited bandwidth. AI agents can manage the entire catalog and all retail channels, capturing significant revenue and efficiency gains from the often-neglected "long tail."

For large deals, 8x8 creates an AI "value map" that aggregates public data, call transcripts, and internal notes. This living document identifies customer challenges and suggests tailored solutions, increasing win rates from 25% to 40%.

The most effective use of AI in sales is to enhance existing salespeople, not create a "human-less" department. AI can speed up workflows, provide better data, and identify buying signals, allowing a smaller, more efficient team to close bigger deals by focusing on the right prospects at the right time.

The best use of AI in sales is not to automate generic emails, which can make reps lazy. Instead, it should be used as a research and efficiency tool to triple the number of hyper-personalized, human-centric calls a salesperson can make daily.

SaaStr generated an extra $500,000 by using an AI agent (Artisan) to follow up on "B leads." These are leads that show buying intent but aren't hot enough for a human rep to prioritize. This strategy captures a valuable, often-overlooked segment of the sales pipeline.

Instead of manual deal reviews with managers, sales reps can use custom AI agents trained on sales methodologies. This AI analyzes call recordings and CRM data to score a deal against frameworks like MEDPIC, identify qualification gaps, and recommend concrete actions to advance the opportunity, freeing up leadership time.

Today, world-class companies review their ICP quarterly. AI will make this process dynamic, analyzing infinite attributes from sales calls and pipeline data in real-time. It will constantly recalibrate the ICP and prescribe the specific, highest-potential accounts for sales reps to engage with at any given moment.

To overcome sales team resistance to an AI-powered CRM, the CMO framed it as an augmentation tool. AI handles tedious tasks like pulling email lists, freeing reps to focus on higher-value activities like relationship-building and ensuring a great customer experience.

By analyzing thousands of conversation transcripts, AI systems can identify sales patterns, common objections, and customer concerns specific to different geographic areas. This allows businesses to tailor their messaging and sales strategy down to a neighborhood level, a degree of personalization previously impossible to achieve.

Instead of just providing reps with AI tools for self-service research, RevOps teams should proactively use AI to automate time-consuming tasks like territory planning and account intelligence. This shifts the burden from the rep, drives adoption, and ensures consistent application of AI for efficiency gains.