Winsupply Solution
Accelerator Program
Powering Innovation in Wholesale Distribution –
in partnership with T-Hub
About Winsupply
Winsupply is a pioneering North American distributor of industrial and construction supplies, recognized as one of MDM’s 2025 Industry Titans in Plumbing Distribution for its sustained excellence, innovation, and industry leadership. Since 1956, Winsupply has empowered thousands of contractors and businesses by harnessing the power of AI-driven innovations. Through its strategic partnership with T-Hub, the Winsupply Solution Accelerator Program offers a cutting-edge platform for startups to tackle pressing enterprise challenges, driving scalable growth and transformation.
About the Program
This 3-5 month domain-focused accelerator is designed to help early- to growth-stage startups co-develop deployable, revenue-impacting solutions with Winsupply. Through structured mentorship, and Paid POC support ranging from ₹5-25 lakhs to selected startups.
Focus Areas
Technology Sector: AI in ConstructionTech / Design Automation
Use Case:
- Read CAD/PDF files to detect symbols, measure lines, and auto-generate a BoM
- Map components to internal catalog with a smart matching engine
- Allow estimators to verify and edit BoM live via a browser interface
Desired Outcomes
- Automate material take-off to reduce estimation time
- Improve accuracy and minimize omissions in project quotes
- Enhance overall reliability of pre-sales estimation workflows
Technology Sector: AI in SalesTech / Pricing Intelligence
Use Case:
- Segment customers based on price sensitivity and purchase patterns
- Analyze item-level price elasticity to guide pricing and discounts
- Recommend dynamic margin strategies tied to customer behavior
Desired Outcomes
- Build pricing KPIs and dashboards to support better decision-making
- Enable margin optimization through smart customer segmentation
- Extend pricing logic into procurement and sales workflows
Technology Sector: AI in ProcurementTech / Competitive Intelligence
Use Case:
- Benchmark vendor pricing using volume thresholds and purchasing data
- Scrape competitor prices to identify underpriced or overpriced SKUs
- Alert teams to optimize costs and improve price positioning
Desired Outcomes
- Reduce procurement costs through volume-based guidance
- Enable real-time competitor benchmarking for SKUs
- Support smarter vendor negotiations and inventory planning
Technology Sector: AI in Sourcing Intelligence / Product Matching
Use Case:
- Analyze product descriptions and attributes to identify interchangeable SKUs
- Build cross-reference mapping between Winsupply item numbers and vendor part numbers
- Integrate mapped results into ERP for faster and error-free substitutions
Desired Outcomes
- Speed up sourcing of alternative products with vendor mapping
- Improve inventory efficiency and reduce stock duplication
- Enable price comparisons across vendors for identical items
Technology Sector: AI in Sourcing Intelligence / Product Matching
Use Case:
- Analyze product descriptions and attributes to identify interchangeable SKUs
- Build cross-reference mapping between Winsupply item numbers and vendor part numbers
- Integrate mapped results into ERP for faster and error-free substitutions
Desired Outcomes
- Speed up sourcing of alternative products with vendor mapping
- Improve inventory efficiency and reduce stock duplication
- Enable price comparisons across vendors for identical items
Technology Sector: AI in ConstructionTech / Design Automation
Use Case:
- Read CAD/PDF files to detect symbols, measure lines, and auto-generate a BoM
- Map components to internal catalog with a smart matching engine
- Allow estimators to verify and edit BoM live via a browser interface
Desired Outcomes
- Automate material take-off to reduce estimation time
- Improve accuracy and minimize omissions in project quotes
- Enhance overall reliability of pre-sales estimation workflows
Technology Sector: AI in SalesTech / Pricing Intelligence
Use Case:
- Segment customers based on price sensitivity and purchase patterns
- Analyze item-level price elasticity to guide pricing and discounts
- Recommend dynamic margin strategies tied to customer behavior
Desired Outcomes
- Build pricing KPIs and dashboards to support better decision-making
- Enable margin optimization through smart customer segmentation
- Extend pricing logic into procurement and sales workflows
Technology Sector: AI in ProcurementTech / Competitive Intelligence
Use Case:
- Benchmark vendor pricing using volume thresholds and purchasing data
- Scrape competitor prices to identify underpriced or overpriced SKUs
- Alert teams to optimize costs and improve price positioning
Desired Outcomes
- Reduce procurement costs through volume-based guidance
- Enable real-time competitor benchmarking for SKUs
- Support smarter vendor negotiations and inventory planning
Technology Sector: AI in Sourcing Intelligence / Product Matching
Use Case:
- Analyze product descriptions and attributes to identify interchangeable SKUs
- Build cross-reference mapping between Winsupply item numbers and vendor part numbers
- Integrate mapped results into ERP for faster and error-free substitutions
Desired Outcomes
- Speed up sourcing of alternative products with vendor mapping
- Improve inventory efficiency and reduce stock duplication
- Enable price comparisons across vendors for identical items
Further Explanation
Focus Areas
Technology Sector: AI in ConstructionTech / Design Automation
Use Case:
- Read CAD/PDF files to detect symbols, measure lines, and auto-generate a BoM
- Map components to internal catalog with a smart matching engine
- Allow estimators to verify and edit BoM live via a browser interface
Desired Outcomes
- Automate material take-off to reduce estimation time
- Improve accuracy and minimize omissions in project quotes
- Enhance overall reliability of pre-sales estimation workflows
Technology Sector: AI in SalesTech / Pricing Intelligence
Use Case:
- Segment customers based on price sensitivity and purchase patterns
- Analyze item-level price elasticity to guide pricing and discounts
- Recommend dynamic margin strategies tied to customer behavior
Desired Outcomes
- Build pricing KPIs and dashboards to support better decision-making
- Enable margin optimization through smart customer segmentation
- Extend pricing logic into procurement and sales workflows
Technology Sector: AI in ProcurementTech / Competitive Intelligence
Use Case:
- Benchmark vendor pricing using volume thresholds and purchasing data
- Scrape competitor prices to identify underpriced or overpriced SKUs
- Alert teams to optimize costs and improve price positioning
Desired Outcomes
- Reduce procurement costs through volume-based guidance
- Enable real-time competitor benchmarking for SKUs
- Support smarter vendor negotiations and inventory planning
Technology Sector: AI in Sourcing Intelligence / Product Matching
Use Case:
- Analyze product descriptions and attributes to identify interchangeable SKUs
- Build cross-reference mapping between Winsupply item numbers and vendor part numbers
- Integrate mapped results into ERP for faster and error-free substitutions
Desired Outcomes
- Speed up sourcing of alternative products with vendor mapping
- Improve inventory efficiency and reduce stock duplication
- Enable price comparisons across vendors for identical items
Further Explanation
Application Criteria
We’re looking for:
- Stage: Startups with a working MVP, PoC, or early-market traction.
- Technology Fit: AI/ML, SaaS, analytics, or distribution-tech solutions.
- Problem Alignment: Clear value proposition for one of the Four focus areas.
- Readiness: Teams equipped to co-develop and deploy within 3–4 months.
Program Timeline
FAQs
A startup program to co-develop solutions that solve Winsupply’s real-world challenges in wholesale distribution.
Mentorship, data access, PoC collaboration, and post-demo pilot funding (for selected startups).
No, participation is fully sponsored for selected startups.
Ready to Pilot Your Innovation at Scale?
Join the Winsupply Solution Accelerator Program and collaborate with an industry leader to solve complex problems in pricing, procurement, and estimation.
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