Market Intelligence

Client Background:
A mid-market B2B SaaS company headquartered in Austin, Texas, offering project management software to enterprises across North America and Western Europe. The company had 350 employees and $40M ARR, competing in a crowded market with 20+ direct competitors.

Challenge:
The company’s product and GTM teams lacked real-time visibility into competitor feature launches, pricing adjustments, and messaging changes. They were often the last to know when a competitor repositioned — resulting in losing sales deals to better-prepared rivals. Their existing competitive intelligence process relied on manual Googling by junior analysts, producing outdated insights delivered biweekly.

Solution:
Hir Infotech deployed a fully automated AI-powered competitive intelligence pipeline that continuously monitored 22 competitor websites, their LinkedIn company pages, G2 review profiles, product update blogs, and job postings. Natural language processing models classified changes by category (pricing, feature, positioning, hiring), scored their strategic significance, and delivered structured alerts into the client’s Slack workspace and Salesforce CRM within 30 minutes of detection.

Results:

• 68% reduction in time-to-competitive-insight (from 14 days to under 1 hour)
• Sales win rate improved by 22% within 6 months as reps received live battle cards
• Product roadmap planning cycles shortened from quarterly to monthly
• $1.2M incremental ARR attributed to competitive intelligence-informed deals in Year 1

Client Testimonial:
“Hir Infotech didn’t just give us data — they gave us clarity. We went from reacting to competitors to outmaneuvering them. The automated intelligence delivered directly to Salesforce changed how our entire sales team operates.” — VP of Product Strategy, Austin-based SaaS company

Client Background:
A UK-based multi-channel retail enterprise with 120+ SKUs across home appliances and consumer electronics, operating both eCommerce and brick-and-mortar channels across England, Scotland, and Wales, with revenues exceeding £85M annually.

Challenge:
With Amazon, Currys, and John Lewis dynamically adjusting prices multiple times per day, the client’s pricing team was manually checking competitor prices using spreadsheets — a process taking 3 FTEs more than 15 hours per week and still only covering 30% of their catalog.

Solution:
Hir Infotech built a real-time pricing intelligence platform that scraped competitor pricing data across 8 UK retail platforms every 4 hours for 100% of the client’s catalog. AI models identified pricing patterns, promotional windows, and stock-out signals, delivering structured price comparison reports and automated repricing recommendations directly into the client’s ERP system.

Results:

• 100% catalog coverage (up from 30%) with zero manual effort
• Gross margin improved by 3.8 percentage points in 12 months
• Pricing team time saved: 15+ hours/week, redeployed to strategic analysis
• Promotional response time reduced from 48 hours to under 2 hours

Client Testimonial:
“The ROI was visible within the first 90 days. Hir Infotech’s pricing intelligence is now a core part of our commercial strategy — we simply couldn’t compete at this level without it.” — Head of Commercial Strategy, UK Retail Enterprise

Client Background:
A German mid-market precision engineering manufacturer based in Stuttgart with 600 employees and operations across Germany, Austria, and Switzerland — the DACH region. The company sources components from 200+ suppliers globally and manages complex procurement workflows.

Challenge:
The procurement team struggled with fragmented supplier intelligence — no centralized view of supplier financial health, compliance status, pricing benchmarks, or risk signals. Manual due diligence on new suppliers took 3–4 weeks per assessment, creating bottlenecks in supply chain scaling.

Solution:
Hir Infotech implemented a supplier intelligence platform scraping data from European business registries, Dun & Bradstreet-adjacent sources, trade compliance databases, and industry news. AI models scored suppliers on financial stability, compliance risk, and market reputation, delivering consolidated supplier profiles with risk-rated recommendations — fully compliant with GDPR.

Results:

• Supplier assessment time reduced from 3–4 weeks to 48 hours
• 94% reduction in manual data research across the procurement team
• Identified 3 high-risk supplier relationships before contract renewal, averting €2.1M in potential supply disruption
• GDPR-compliant data governance framework implemented across all intelligence workflows

Client Testimonial:
“Hir Infotech transformed our procurement function from reactive to predictive. We now onboard and assess suppliers at a pace we never thought achievable — and with far greater confidence.” — Chief Procurement Officer, Stuttgart Manufacturing Firm

Client Background:
A Paris-based FinTech startup preparing to expand payment infrastructure services into the Netherlands, Sweden, and Denmark — markets with distinct regulatory requirements, competitive dynamics, and customer expectations.

Challenge:
The executive team needed a comprehensive, country-specific view of each target market: key competitors, pricing benchmarks, regulatory requirements (including PSD2 compliance), customer sentiment, and partner ecosystem landscape — within a 6-week window ahead of a board strategy session.

Solution:
Hir Infotech delivered a full market entry intelligence package encompassing structured competitive landscapes for 3 geographies, scraped and analyzed regulatory documentation from national financial authorities, extracted and NLP-analyzed 5,000+ customer reviews of competing products, and compiled firmographic data on 200+ potential channel partners from European B2B directories.

Results:

• Complete 3-country intelligence package delivered in 21 business days
• Board presentation supported by 100% externally validated, citation-ready data
• Market entry strategy refined based on pricing gap analysis, revealing a 22% underpricing opportunity vs. Netherlands competitors
• 3 strategic channel partners identified pre-launch, accelerating go-to-market by an estimated 4 months

Client Testimonial:
“The depth and speed of Hir Infotech’s market intelligence research was unlike anything we’d seen from a data provider. They genuinely understood our strategic questions — not just the data.” — Chief Strategy Officer, Paris FinTech

Client Background:
A Sydney-based healthcare technology company providing practice management software to medical clinics across Australia and New Zealand, with a growing expansion into Southeast Asia. The company had 180 employees and a product team of 22.

Challenge:
The product team had no systematic process for tracking customer feedback and competitor NPS trends across review platforms. Decision-making on the product roadmap was based primarily on internal support tickets and ad-hoc conversations — not structured market intelligence.

Solution:
Hir Infotech deployed a continuous customer and competitor sentiment intelligence pipeline monitoring G2, Capterra, GetApp, Trustpilot, and Google Reviews across the client and 14 competitors. NLP models categorized feedback by feature, sentiment polarity, and urgency signal, delivering monthly intelligence reports and a real-time dashboard accessible to the product and CX teams.

Results:

• 14,000+ customer reviews analyzed in the first 60 days
• 5 high-priority product gaps identified from competitor review analysis, 3 of which entered the Q3 roadmap
• NPS score improved from 41 to 67 within 12 months following intelligence-informed product updates
• Churn rate reduced by 18% year-over-year

Client Testimonial:
“We finally understand what our customers need — and what competitors are getting wrong. Hir Infotech’s sentiment intelligence became the voice-of-market layer our product team had been missing for years.” — Head of Product, Sydney HealthTech Company

Client Background:
A Spanish consumer goods brand with product distribution across Spain, Italy, and Portugal. Annual revenues of €60M, with a marketing team managing brand positioning, pricing, and retail partnerships across 3 geographies.

Challenge:
The marketing and brand team lacked a unified intelligence view of how the brand was being perceived vs. competitors across social channels, retail review platforms, and media outlets in multiple languages (Spanish, Italian, Portuguese).

Solution:
Hir Infotech built a multilingual brand intelligence platform scraping social mentions, press coverage, retailer review platforms, and forum discussions across all 3 geographies. AI models applied language-specific NLP for Spanish, Italian, and Portuguese sentiment analysis, delivering weekly brand health reports and competitive benchmarking dashboards.

Results:

• Multilingual coverage across 3 markets with 98.7% data capture accuracy
• Identified a brand perception crisis forming in Italy 6 weeks before it escalated, enabling proactive PR response
• Competitor promotional intelligence used to adjust 4 quarterly campaigns, improving ROAS by 31%
• Marketing team saved 22 hours/week previously spent on manual media monitoring

Client Testimonial:
“Hir Infotech gave us eyes and ears across three markets in three languages — simultaneously. The brand intelligence they deliver has fundamentally changed how we manage our reputation and competitive positioning.” — Marketing Director, Spanish Consumer Goods Brand

Client Background:
A private real estate investment fund operating across the USA (Florida, Texas, California) and Australia (Victoria, New South Wales), managing $320M AUM across residential and commercial real estate assets.

Challenge:
The fund’s acquisition team spent 60+ hours per week manually researching property listings, rental yield data, neighborhood analytics, and comparable sales across multiple platforms in two countries — a process that was slow, inconsistent, and prone to human error in data aggregation.

Solution:
Hir Infotech engineered a multi-country property market intelligence system scraping Zillow, Realtor.com, and county assessment records in the USA, and Domain, REA Group, and council data in Australia. AI models normalized data across both markets, calculated yield benchmarks, flagged undervalued acquisition opportunities, and delivered structured intelligence into the fund’s deal-tracking platform.

Results:

• 60+ hours/week of manual research eliminated
• Property opportunity pipeline increased by 3.4x within the first quarter
• 7 acquisition decisions directly supported by intelligence-led analysis in Year 1
• Dual-geography compliance maintained: all data sourced from publicly available, legally compliant sources

Client Testimonial:
“For a fund our size, speed and accuracy in acquisition intelligence is a direct driver of returns. Hir Infotech delivered both — consistently, across two very different real estate markets.” — Managing Director, Real Estate Investment Fund