Excited to share this case study since it’s a great example of the kind of real-world implementation we should be seeing more of.
KEY PAIN-POINTS
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Estimating bottleneck limited the volume of proposals sent to prospects.
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Seasonal workload made team expansion unjustifiable.
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Plans for complex cost code integration risked further slowdown.
SOLUTIONS
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AI looks up relevant cost codes from 4.8k database based on each line-item description.
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Personnel can assign keywords to cost codes to improve AI matching accuracy.
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If provided in the database, the system automatically fills in related unit, unit cost, and margin.
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Personnel can generate PDFs including estimate details ready to be sent to clients.
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New estimates can be started from historical data to further expedite the process.
To see more, have a peek here: 50% Faster Quotes with AI - Ripesoft
Alo, there’s a video! https://www.youtube.com/watch?v=4T_vftIkF-Y
Enjoy!