Supply Chain Data

Client Background:
A mid-sized industrial components manufacturer headquartered in Ohio, USA, supplying automotive OEMs and aerospace integrators across North America. The company operated with a procurement team of 12 managing over 400 active supplier relationships.

Challenge:
The client’s procurement team spent over 15 hours per week manually researching new suppliers on ThomasNet, industry directories, and manufacturer websites. Data was inconsistent, often outdated, and not integrated with their SAP ERP system — creating sourcing delays and vendor qualification bottlenecks that were costing them contract renewals.

Solution:
Hir Infotech deployed a custom AI-powered supplier data extraction pipeline targeting 18 industrial B2B directories and manufacturer portals. We built a structured supplier intelligence feed — covering company profiles, certifications (ISO, AS9100), product categories, capacity data, and contact details — delivered weekly via API directly into the client’s SAP environment. NLP-based enrichment added supplier capability tags and compliance flags automatically.

Results:

• Supplier research time reduced by 78% within the first 60 days
  
  
• Vendor onboarding cycle shortened from 3 weeks to 4 days
  
  
• Identified 340 previously undiscovered qualified suppliers across the Midwest
  
  
• Procurement team redirected 12+ hours/week to strategic sourcing and negotiation
  
  

Client Testimonial:
“Hir Infotech didn’t just save us time — they transformed how our procurement team operates. The data quality is exceptional, and the API integration meant zero disruption to our existing workflows. We’ve now expanded the program to cover European supplier markets as well.”
— VP of Procurement, Industrial Components Manufacturer, Ohio, USA

Client Background:
A third-party logistics provider based in Rotterdam, Netherlands, managing cross-border freight across the EU — covering Germany, France, Belgium, Poland, and the Nordic region. Annual freight spend exceeded €85 million.

Challenge:
The client’s logistics operations team lacked a reliable, real-time view of container freight rates, lane-specific carrier pricing, and market capacity across EU corridors. They relied on spot-rate emails from a handful of carriers — an approach that left them consistently overpaying on high-demand lanes and missing favorable rate windows.

Solution:
Hir Infotech built an automated freight rate monitoring system that extracted daily container rates, lane benchmarks, and capacity signals from 12 freight rate platforms, carrier portals, and logistics exchanges — including data relevant to EU–Asia and EU–North America trade lanes. Structured freight intelligence was delivered to the client’s TMS via a clean JSON API, refreshed every 6 hours.

Results:

• Average freight cost per shipment reduced by 11% in Q1 post-implementation
  
  
• Rate negotiation win rate improved by 23% with carriers
  
  
• Operations team gained full visibility into 47 freight corridors previously unmonitored
  
  
• Estimated annual savings: €9.2 million in freight cost optimization
  
  

Client Testimonial:
“Before Hir Infotech, we were flying blind on rate benchmarking. Now our team negotiates from a position of intelligence, not guesswork. The data quality and delivery reliability have been outstanding from day one.”
— Head of Freight Operations, 3PL Provider, Rotterdam, Netherlands

Client Background:
A mid-market omnichannel retailer headquartered in Manchester, UK, operating 180+ stores and a growing e-commerce channel across the UK and Ireland. The supply chain team managed inventory planning for 12,000+ active SKUs.

Challenge:
Inventory planners were working with static weekly reports and lacked real-time demand signal data from supplier portals, marketplace platforms, and distributor networks. Stockouts during peak periods were costing the business an estimated £2.1 million annually in lost sales, while overstocking was inflating warehousing costs by 18%.

Solution:
Hir Infotech implemented a real-time demand signal extraction program covering the client’s top 60 supplier portals, Amazon UK and other marketplace feeds, and distributor stock platforms. Daily SKU-level availability and demand indicator data was structured, deduplicated, and pushed into the client’s Oracle SCM Cloud environment via a scheduled batch pipeline.

Results:

• Stockout incidents reduced by 44% in the first quarter
  
  
• Overstocking costs reduced by 22%, saving £380,000 in warehousing expenses
  
  
• Inventory planners received daily structured demand signals for 9,800 SKUs
  
  
• Supplier data latency dropped from 5 days to under 18 hours
  
  

Client Testimonial:
“The Hir Infotech team understood our supply chain complexity from the first call. Their solution was tailored, the implementation was fast, and the impact on our inventory accuracy was immediate and measurable.”
— Supply Chain Director, Omnichannel Retailer, Manchester, UK

Client Background:
A Tier-2 supplier of heavy mining equipment and spare parts based in Perth, Australia, serving clients across Western Australia, Queensland, and Southeast Asia. The procurement team sourced components from 120+ international vendors.

Challenge:
Rising raw material costs and long lead times from Asian manufacturers were eroding margins. The procurement team had no structured visibility into real-time pricing movements, alternative supplier availability, or commodity index shifts — making proactive procurement decisions nearly impossible.

Solution:
Hir Infotech built a commodity and supplier pricing intelligence pipeline covering steel, aluminium, and hydraulics component pricing from global commodity indices, Asian manufacturer portals, and Australian industrial supply directories including AusTender records. Data was enriched with currency-adjusted pricing, lead time estimates, and risk flags — delivered via daily CSV exports and a live dashboard integration.

Results:

• Procurement cost savings of AUD $1.4 million in Year 1
  
  
• Average lead time visibility improved from 2 weeks to 3 days
  
  
• Identified 28 qualified alternative suppliers across Southeast Asia
  
  
• Commodity price alerts reduced reactive purchasing by 35%
  
  

Client Testimonial:
“Operating in mining procurement without real-time data is like navigating without a map. Hir Infotech gave us the intelligence layer we were missing, and the ROI in year one was simply undeniable.”
— Head of Procurement, Mining Equipment Supplier, Perth, Australia

Client Background:
A pharmaceutical and life sciences distributor headquartered in Munich, Germany, supplying hospital networks and pharmacy chains across the DACH region (Germany, Austria, Switzerland). Supplier compliance and regulatory data accuracy were mission-critical.

Challenge:
Following COVID-19 supply disruptions, the client needed a continuous supplier risk monitoring capability — tracking supplier certifications, regulatory compliance status, financial health signals, and geopolitical disruption events for 200+ active pharmaceutical suppliers. Manual quarterly reviews were insufficient and dangerously slow.

Solution:
Hir Infotech deployed a supplier risk intelligence extraction system pulling data from EU regulatory databases, GMP certification portals, financial data aggregators, and news/event monitoring feeds. AI models classified and scored each supplier weekly across four risk dimensions: regulatory compliance, financial stability, operational disruption, and geographic risk. Full GDPR compliance was maintained across all data collection workflows.

Results:

• 14 high-risk supplier events identified proactively — 3 months before manual reviews would have caught them
  
  
• Supplier risk review cycle reduced from quarterly to weekly
  
  
• Compliance team reporting time reduced by 65%
  
  
• Zero regulatory compliance incidents in 18 months post-implementation
  
  

Client Testimonial:
“In pharma distribution, supplier risk is existential. Hir Infotech’s data gave our compliance and procurement teams proactive intelligence that has genuinely protected our supply chain continuity. Exceptional work.”
— Chief Supply Chain Officer, Pharmaceutical Distributor, Munich, Germany

Client Background:
A direct-to-consumer fashion brand based in Paris, France, selling across Europe and North America through its own website and third-party marketplaces. Annual revenue of approximately €45 million with a highly seasonal demand profile.

Challenge:
The brand’s supply chain team struggled to correlate real-time marketplace inventory data with production forecasts. Poor visibility into distributor stock levels and competitor inventory positions was leading to missed sell-through opportunities during peak seasons, resulting in an estimated €3 million in annual revenue leakage.

Solution:
Hir Infotech built an inventory and competitive intelligence extraction pipeline monitoring 14 European and North American marketplace and distributor platforms. SKU-level stock availability, pricing movements, and promotional event triggers were extracted daily and structured for integration with the brand’s custom analytics dashboard and Shopify back-end.

Results:

• Sell-through rate improved by 19% across top 200 SKUs in the first season
  
  
• Promotional timing optimized using competitor inventory signal data — increasing campaign ROI by 27%
  
  
• Supply chain planner efficiency increased with automated daily inventory feeds replacing 8 hours of manual monitoring per week
  
  
• Revenue leakage from stockouts reduced by an estimated €1.8 million in Year 1
  
  

Client Testimonial:
“Hir Infotech understood our fast-moving inventory environment and built a solution that matched our pace. The data accuracy and delivery consistency gave our team a real competitive advantage heading into peak season.”
— Head of Supply Chain, DTC Fashion Brand, Paris, France

Client Background:
A mid-market import/export trading company based in Copenhagen, Denmark, handling goods across EU customs jurisdictions, the UK (post-Brexit), and the USA. Annual import/export volume exceeded 8,000 shipments per year.

Challenge:
Post-Brexit regulatory complexity and evolving EU customs rules created significant compliance data management challenges. The client’s compliance team was manually tracking HS code changes, tariff rate updates, and customs documentation requirements from multiple government and trade authority websites — a time-intensive and error-prone process.

Solution:
Hir Infotech deployed an automated trade compliance data extraction system monitoring EU Taxation and Customs Union portals, UK HMRC trade tariff updates, and US CBP regulatory feeds. Structured data covering HS code classifications, import duty rates, preferential trade agreement eligibility, and customs documentation requirements was delivered via a weekly compliance intelligence report and live API feed.

Results:

• Compliance research time reduced by 71%
  
  
• Customs duty overpayment errors eliminated — saving DKK 420,000 in Year 1
  
  
• Trade compliance team expanded coverage from 3 to 14 trade corridors with no additional headcount
  
  
• Zero customs clearance delays attributable to compliance data errors in 12 months
  
  

Client Testimonial:
“Managing trade compliance data manually across EU, UK, and US jurisdictions was becoming impossible. Hir Infotech automated the entire intelligence layer, and the accuracy of their data has been flawless.”
— Compliance Manager, Import/Export Trading Company, Copenhagen, Denmark