Live demo: Watch AI mark up a real bid package in real time.
Sales application engineers at systems integration and controls firms respond to RFQs constantly. Right now, manually reviewing plans and specs takes 3 to 4 hours per bid, before any actual estimating starts. Cut that to 30 minutes, and three things change.
More bids: The same team can work through more of the bids sitting in the queue instead of triaging which ones get attention. More bids submitted means more chances to win, and more revenue.
Fewer missed details: A manual review under time pressure is where requirements get skipped. A missed requirement means the proposal doesn’t match what the plans and specs called for, and a proposal that doesn’t match loses to the one that does.
More time for selling: The hours that used to go into copying details out of plans and specs go back into the parts of the job that actually need a sales application engineer: talking to the customer and shaping the proposal.
How: We’ll do this live, on a real bid package, not a slide. AI reads the full plans and specs, even past 1,000 pages, and returns a marked-up bid with the relevant requirements flagged in 15 minutes, while you watch. Your team reviews the markup instead of the raw documents. Start to finish, AI and review together, the whole process takes about 30 minutes.
Attend this session and in [45] minutes you’ll learn how to:
- Watch AI turn a real 1,000+ page bid package into a marked-up bid live, in 15 minutes
- Take on more RFQs with the same team, without adding headcount
- Catch missed requirements before the proposal goes out, not after
- See where the freed-up time actually goes for teams who’ve made this switch
If you’re a sales application engineer, account owner, or anyone on a systems integration or controls team who reviews plans and specs to build a quote, this session is for you.
There will be time for questions, so bring them.
Know someone on your team, or at another integration firm, who deals with this every week? Invite them. This session is open to everyone.
Sponsored by:
About the Speakers
Sumant Shringari, CEO & Co-Founder at Streamline is a software entrepreneur who has worked with Fortune 500 companies on AI deployment. At Streamline, he works with manufacturers and systems integrators to build AI into their sales process.
Rushabh Mehta, CTO & Co-Founder at Streamline has worked on self-driving AI at Nvidia and on AI projects for government agencies, including the Department of Defense and the U.S. Bureau of Economic Analysis, focused on advancing AI in practical applications.