AI Sales Intelligence Platform for US Manufacturing Company
Built an AI sales intelligence platform that increased quote-to-close rate 38% and cut sales cycle 25% for a US industrial manufacturer with 500+ SKUs.
The Business Challenge
ProForge's 40-person sales team was spending 60% of their time on quoting — manually pulling specs, calculating margins, and drafting proposals for complex custom orders. Win rates were declining as competitors quoted faster.
For many Manufacturing organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.
ProForge Manufacturing needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.
Our Solution
We built an AI quoting engine that generates accurate, margin-optimized quotes in under 3 minutes from customer requirements. Integrated with ERP for real-time inventory and lead time data. AI recommends related products to increase average order value.
Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.
We maintained weekly video demos with ProForge Manufacturing's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.
Our Approach
Built on top of existing ERP via API. Pilot with 8 sales reps for 6 weeks before full rollout. Training data from 5 years of historical quotes.
How We Delivered It
Every TechVerse project follows a structured delivery process designed to minimize risk, maximize transparency, and get working software in front of stakeholders as fast as possible. Here's how we approached this Manufacturing project:
Discovery & Scoping
2-week paid discovery sprint with ProForge Manufacturing to map requirements, define acceptance criteria, and produce a fixed-price project plan. No surprises after sign-off.
Architecture & Technical Design
Senior engineers design the full technical architecture before writing production code. Every decision is documented and reviewed with stakeholders.
Agile Delivery in 2-Week Sprints
Working software delivered every sprint. Weekly video demos with ProForge Manufacturing leadership kept all stakeholders aligned throughout the 16 weeks.
QA, Security & Performance Testing
Every feature is tested against acceptance criteria before it is considered done. Load testing and security review happen before any production deployment.
Launch, Handover & Support
Structured go-live with dedicated hypercare support. Full code ownership transferred to the client along with documentation, runbooks, and knowledge transfer sessions.
Measurable Business Impact
Results were measured against pre-project baselines established during our discovery phase. Every metric below reflects documented before/after comparisons, not projections or estimates.
Our sales team went from dreading quotes to winning them. Speed matters more than we realized.
Why This Project Matters
The Manufacturing sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.
This project for ProForge Manufacturing is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.
For US companies in the Manufacturing space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.
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