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AI-Driven Retailer Intelligence for Smarter Market Decisions
Hir Infotech delivers advanced Retailer Intelligence solutions for B2B brands, retailers, distributors, marketplaces, and data-driven enterprises across the USA, Europe, and Australia. With 13+ years of experience, 2745+ happy clients, and global delivery capability, we help companies monitor retailer pricing, product availability, promotions, assortment changes, marketplace positioning, competitor movement, and category trends at scale. Our AI-driven analytics, web scraping, and data intelligence workflows transform scattered retail data into structured, reliable insights your teams can use for pricing, growth, procurement, merchandising, and strategic planning.
2745+
happy clients
50M+
Records
95%+
Accuracy
13+
Years Web Scraping Expertise
100+
Sources
Retailer Intelligence helps companies understand how products, competitors, pricing, stock availability, and promotions behave across digital retail channels. For medium to large businesses, this is no longer optional. Pricing teams need accurate market visibility. Growth teams need retailer-level performance signals. Procurement leaders need supplier and category intelligence. Product teams need assortment and positioning data. Without structured retail intelligence, businesses often rely on outdated spreadsheets, manual checks, incomplete competitor research, and delayed reporting. Hir Infotech helps B2B companies replace fragmented retail monitoring with automated, scalable, and AI-powered intelligence systems. We collect and structure data from retailer websites, marketplaces, product listings, category pages, store locators, review sections, pricing pages, promotional banners, and availability signals. Our teams support businesses across the USA, Europe, and Australia with retailer data pipelines designed for accuracy, compliance, and commercial usability.
Hir Infotech builds AI-powered retailer data extraction systems that collect, clean, structure, and deliver pricing, assortment, promotion, availability, and marketplace intelligence for B2B companies operating across competitive retail environments.
Track retailer prices, discounts, bundles, fees, and promotional changes across multiple markets. Hir Infotech helps pricing teams identify price gaps, margin pressure, and competitor movement before it impacts revenue.
Monitor in-stock, out-of-stock, delivery availability, store-level signals, and regional fulfillment patterns. This supports better demand planning, supply chain coordination, and retailer performance measurement.
Understand which SKUs, categories, brands, and variants competitors promote or remove. Our retailer intelligence workflows help product and merchandising teams track catalog depth, coverage gaps, and category positioning.
Receive structured retailer intelligence through dashboards, spreadsheets, APIs, databases, or BI-ready formats. Our delivery process supports CRM, ERP, analytics, procurement, and business intelligence workflows.
Amazon data helps businesses monitor product pricing, seller changes, Buy Box movement, ratings, reviews, availability, and category positioning. Hir Infotech structures these signals into intelligence for pricing, marketplace growth, and competitor benchmarking.
Walmart marketplace and retail product pages reveal pricing, stock availability, seller activity, delivery options, ratings, and promotional patterns. B2B teams use this intelligence to compare category movement and retailer competitiveness.
Target product and category pages provide useful signals on pricing, promotions, product placement, seasonal campaigns, stock status, and customer sentiment. Hir Infotech converts this information into structured market intelligence for retail strategy teams.
Tesco data supports grocery, FMCG, and consumer goods companies tracking category changes, loyalty pricing, promotional timing, product availability, and digital shelf visibility across the UK retail environment.
Carrefour’s digital retail presence provides insights into European pricing, assortment, grocery categories, promotions, and product positioning. Businesses use this intelligence to understand regional retailer strategy and market competitiveness.
Woolworths product and category data helps brands monitor grocery pricing, promotional activity, stock signals, product visibility, and regional retail behavior across Australia’s competitive consumer goods market.
Google Shopping provides visibility into multi-retailer pricing, seller presence, product availability, shipping options, and competitive listing behavior. Hir Infotech helps businesses structure this data for pricing and channel intelligence.
Store locator data helps B2B companies understand branch coverage, retailer footprint, service areas, regional expansion, and market density. This is useful for sales planning, distribution strategy, and local market analysis.
Retailer review sections reveal product satisfaction, recurring complaints, feature demand, delivery issues, and competitor weaknesses. Hir Infotech turns review data into structured sentiment and product improvement intelligence.
Track Retail Pricing, Promotions, and Market Movement with Confidence
Retailer price intelligence gives B2B companies a clear view of how products are priced, discounted, bundled, and positioned across the market. For brands, manufacturers, distributors, and marketplace sellers, pricing decisions cannot rely on guesswork. A small delay in detecting competitor price drops, aggressive promotions, stock issues, or marketplace seller movement can directly affect revenue, margin, and customer acquisition.
Hir Infotech helps companies build reliable retailer intelligence systems that monitor pricing signals across online stores, marketplaces, comparison platforms, and regional retail websites. Our workflows capture list prices, sale prices, promotional labels, discount percentages, coupon visibility, shipping fees, variant-level pricing, and stock indicators. The data is cleaned, normalized, and delivered in formats your teams can use immediately.
This is especially valuable for B2B companies operating across the USA, UK, Germany, France, Italy, Spain, Denmark, Netherlands, Iceland, Austria, Sweden, Switzerland, and Australia. Each market has different retailer behavior, pricing structures, promotional cycles, language variations, and compliance expectations. Hir Infotech supports multi-region intelligence with scalable data infrastructure, quality checks, and business-ready reporting.
Retailer Intelligence is not just about collecting data. The real value comes from converting scattered online retail signals into clean, structured, and actionable intelligence. Enterprise teams need reliable data they can integrate into pricing models, BI dashboards, forecasting tools, CRM systems, procurement workflows, and executive reports. Manual research cannot support that level of speed or scale.
Hir Infotech combines AI-driven analytics, AI-powered web scraping, and data intelligence workflows to help businesses monitor large volumes of retailer data with accuracy and consistency. We identify relevant sources, define data fields, build extraction logic, validate outputs, remove duplicates, normalize product attributes, map competitors, and deliver intelligence in usable formats. This helps teams move from reactive reporting to proactive market decisions.
Our Retailer Intelligence solutions are designed for pricing teams, growth teams, product leaders, data leaders, procurement teams, and executives who need dependable visibility across competitive retail environments. Whether you need daily price monitoring, weekly assortment reports, real-time availability tracking, or custom retailer dashboards, Hir Infotech builds workflows around your business goals, geography, industry, and data governance needs.
A mid-market consumer electronics brand selling through major online retailers in the USA needed better visibility into pricing, stock availability, and competitor activity. Their products were listed across multiple retailer websites, marketplaces, and reseller channels, but their internal team relied heavily on manual checks and delayed spreadsheet updates.
The company often discovered price changes after competitors had already gained visibility. Sales teams struggled to explain sudden drops in conversion, and pricing managers had limited evidence to support promotional decisions. The brand also lacked structured data on out-of-stock competitor products, which meant missed opportunities to increase visibility when rivals had supply gaps.
Hir Infotech built a Retailer Intelligence workflow to monitor key product categories, competitor SKUs, pricing, promotions, seller availability, product ratings, and stock status across selected U.S. retailer websites. The data was cleaned, matched by product attributes, and delivered in a dashboard-ready format for pricing and growth teams.
The client reduced manual monitoring time by more than 60%, identified pricing gaps faster, and improved promotional planning around competitor stock changes. Their pricing team gained a clearer view of market movement and used retailer-level intelligence to support more confident decisions.
“Hir Infotech helped us move from scattered price checks to structured retailer intelligence. Our team now sees pricing and stock changes before they become major commercial problems.”
A European FMCG distributor operating across Germany, France, Italy, Spain, and the Netherlands needed better visibility into retailer promotions and category activity. The company supplied multiple brands and wanted to understand how products appeared across grocery and consumer goods retailers.
The distributor’s commercial team struggled to compare promotional activity across countries. Each market had different retailer websites, languages, offer formats, and category structures. Manual monitoring was slow, inconsistent, and difficult to scale. The team needed structured data that could support weekly business reviews and supplier conversations.
Hir Infotech designed a multi-country retailer intelligence system to capture product prices, discount labels, promotional banners, bundle offers, stock signals, category ranking indicators, and competitor movement. Data fields were normalized across languages and markets so the client could compare activity across regions.
The distributor gained consistent market visibility across five European countries. Category managers used the data to identify promotion gaps, compare retailer behavior, and strengthen supplier negotiations. The team also reduced dependency on manual screenshots and built more evidence-based reporting.
“The biggest value was consistency. Hir Infotech helped us compare retailer promotions across different European markets in a clean, structured way.”
An Australian retail supplier serving grocery and household product categories wanted better visibility into product availability and assortment gaps across national retailers. Their sales team needed to know when products were missing, out of stock, or replaced by competitor alternatives.
The company had limited retailer-level data and often relied on account manager feedback. This created delays in identifying stock issues, category changes, and competitor expansion. Product leaders wanted a more reliable way to monitor assortment presence across priority retail websites.
Hir Infotech created a Retailer Intelligence pipeline focused on SKU availability, product page status, category placement, variant visibility, pricing, promotions, and competitor assortment. The output was delivered in structured spreadsheets and BI-ready files for weekly review.
The client identified repeated out-of-stock patterns across specific categories and improved communication with retail partners. Sales teams used the intelligence to support account discussions, while product teams used assortment data to identify where competitors were gaining shelf visibility.
“Hir Infotech gave our team a clearer view of where our products were visible, missing, or under pressure from competitors. It changed how we prepared retailer conversations.”
A B2B marketplace serving industrial supplies needed deeper intelligence on seller activity, product availability, pricing, and catalog expansion across competing marketplaces. The company wanted to improve its category strategy and identify fast-growing product segments.
Marketplace teams had large volumes of public product data available online but no efficient way to collect and structure it. Manual research could not keep up with seller additions, pricing changes, discontinued items, or product description updates. The client needed scalable intelligence that could support category managers and growth teams.
Hir Infotech built a custom retailer intelligence solution to track seller listings, product categories, prices, ratings, availability, specifications, and changes over time. Data was standardized and delivered in a format suitable for internal analytics and category reporting.
The marketplace identified high-growth product categories, underrepresented supplier segments, and pricing inconsistencies across competitors. The client used the intelligence to refine acquisition priorities, improve category coverage, and support data-led expansion planning.
“Hir Infotech helped us turn marketplace noise into clear category intelligence. We finally had structured data our teams could trust.”
A luxury goods brand selling across Europe and the USA wanted to monitor unauthorized retail listings, pricing inconsistencies, promotional misuse, and brand positioning across online retailers and marketplaces.
The brand’s internal team found it difficult to track where products appeared, how they were priced, and whether third-party sellers were affecting premium positioning. Manual monitoring was incomplete and slow, especially across different countries and languages.
Hir Infotech developed a retailer intelligence workflow to track product listings, seller names, price changes, discount activity, product images, availability, and marketplace visibility. The system flagged unusual price drops, duplicate listings, and unauthorized seller patterns for review.
The brand improved visibility into grey market activity and gained stronger evidence for internal compliance and channel management teams. Pricing and brand teams used the intelligence to protect positioning and prioritize retailer follow-ups.
“Our brand team needed reliable visibility across markets. Hir Infotech delivered structured intelligence that helped us act faster and protect our premium positioning.”
A health and beauty company selling through retailers in the UK, USA, and Australia wanted to understand digital shelf visibility, ratings, reviews, category placement, pricing, and competitor movement across key retailers.
The company had strong retail partnerships but limited insight into how products performed on retailer websites. They needed to track product page visibility, review volume, competitor listings, promotional activity, and stock signals across multiple regions.
Hir Infotech built a Retailer Intelligence solution to monitor category pages, product pages, customer reviews, star ratings, pricing, promotional messages, and stock availability. The data was organized by region, retailer, category, and SKU.
The company improved digital shelf reporting, identified underperforming product pages, and discovered competitor products gaining category visibility. Marketing and eCommerce teams used the intelligence to refine content, promotions, and retailer-specific strategies.
“Hir Infotech helped us understand how our products appeared across retailer websites, not just whether they were listed. That visibility became extremely useful for our eCommerce team.”
A procurement team at a large consumer products company needed external market intelligence to benchmark supplier pricing, retailer movement, category changes, and regional product availability.
The procurement team had internal supplier data but lacked external retailer visibility. They needed market-based evidence to support supplier discussions, cost reviews, and category planning. The team also wanted intelligence from multiple countries, including the USA, Germany, France, Sweden, and Switzerland.
Hir Infotech created a retailer intelligence workflow that collected public retail pricing, assortment depth, product descriptions, brand coverage, stock signals, and category-level movement. The data was delivered in structured reports aligned with procurement review cycles.
The procurement team gained stronger market context for supplier negotiations and category planning. They used retailer intelligence to identify pricing variance, product overlap, supply gaps, and regional differences across comparable products.
“We needed external data that procurement could actually use. Hir Infotech helped us bring market visibility into supplier conversations with much more confidence.”
A SaaS company offering retail analytics software needed a reliable data partner to support retailer data extraction, normalization, and delivery across multiple client dashboards.
The SaaS team had strong analytics capabilities but needed scalable data collection across retailer websites, marketplaces, and category sources. Their internal engineering team wanted to reduce maintenance burden while improving data reliability and source coverage.
Hir Infotech supported the client with AI-driven web scraping, retailer data extraction, field mapping, data cleaning, validation, and scheduled delivery. The workflow was designed to support pricing, availability, assortment, and product-level intelligence across multiple markets.
The SaaS company expanded source coverage, improved data consistency, and reduced engineering workload related to data acquisition. Their customer-facing analytics became more reliable because the underlying retailer data was cleaner and more structured.
“Hir Infotech became an extension of our data operations. Their retailer intelligence workflows helped us scale faster without overloading our internal team.”
A mid-market consumer electronics brand selling through major online retailers in the USA needed better visibility into pricing, stock availability, and competitor activity. Their products were listed across multiple retailer websites, marketplaces, and reseller channels, but their internal team relied heavily on manual checks and delayed spreadsheet updates.
The company often discovered price changes after competitors had already gained visibility. Sales teams struggled to explain sudden drops in conversion, and pricing managers had limited evidence to support promotional decisions. The brand also lacked structured data on out-of-stock competitor products, which meant missed opportunities to increase visibility when rivals had supply gaps.
Hir Infotech built a Retailer Intelligence workflow to monitor key product categories, competitor SKUs, pricing, promotions, seller availability, product ratings, and stock status across selected U.S. retailer websites. The data was cleaned, matched by product attributes, and delivered in a dashboard-ready format for pricing and growth teams.
The client reduced manual monitoring time by more than 60%, identified pricing gaps faster, and improved promotional planning around competitor stock changes. Their pricing team gained a clearer view of market movement and used retailer-level intelligence to support more confident decisions.
“Hir Infotech helped us move from scattered price checks to structured retailer intelligence. Our team now sees pricing and stock changes before they become major commercial problems.”
A European FMCG distributor operating across Germany, France, Italy, Spain, and the Netherlands needed better visibility into retailer promotions and category activity. The company supplied multiple brands and wanted to understand how products appeared across grocery and consumer goods retailers.
The distributor’s commercial team struggled to compare promotional activity across countries. Each market had different retailer websites, languages, offer formats, and category structures. Manual monitoring was slow, inconsistent, and difficult to scale. The team needed structured data that could support weekly business reviews and supplier conversations.
Hir Infotech designed a multi-country retailer intelligence system to capture product prices, discount labels, promotional banners, bundle offers, stock signals, category ranking indicators, and competitor movement. Data fields were normalized across languages and markets so the client could compare activity across regions.
The distributor gained consistent market visibility across five European countries. Category managers used the data to identify promotion gaps, compare retailer behavior, and strengthen supplier negotiations. The team also reduced dependency on manual screenshots and built more evidence-based reporting.
“The biggest value was consistency. Hir Infotech helped us compare retailer promotions across different European markets in a clean, structured way.”
An Australian retail supplier serving grocery and household product categories wanted better visibility into product availability and assortment gaps across national retailers. Their sales team needed to know when products were missing, out of stock, or replaced by competitor alternatives.
The company had limited retailer-level data and often relied on account manager feedback. This created delays in identifying stock issues, category changes, and competitor expansion. Product leaders wanted a more reliable way to monitor assortment presence across priority retail websites.
Hir Infotech created a Retailer Intelligence pipeline focused on SKU availability, product page status, category placement, variant visibility, pricing, promotions, and competitor assortment. The output was delivered in structured spreadsheets and BI-ready files for weekly review.
The client identified repeated out-of-stock patterns across specific categories and improved communication with retail partners. Sales teams used the intelligence to support account discussions, while product teams used assortment data to identify where competitors were gaining shelf visibility.
“Hir Infotech gave our team a clearer view of where our products were visible, missing, or under pressure from competitors. It changed how we prepared retailer conversations.”
A B2B marketplace serving industrial supplies needed deeper intelligence on seller activity, product availability, pricing, and catalog expansion across competing marketplaces. The company wanted to improve its category strategy and identify fast-growing product segments.
Marketplace teams had large volumes of public product data available online but no efficient way to collect and structure it. Manual research could not keep up with seller additions, pricing changes, discontinued items, or product description updates. The client needed scalable intelligence that could support category managers and growth teams.
Hir Infotech built a custom retailer intelligence solution to track seller listings, product categories, prices, ratings, availability, specifications, and changes over time. Data was standardized and delivered in a format suitable for internal analytics and category reporting.
The marketplace identified high-growth product categories, underrepresented supplier segments, and pricing inconsistencies across competitors. The client used the intelligence to refine acquisition priorities, improve category coverage, and support data-led expansion planning.
“Hir Infotech helped us turn marketplace noise into clear category intelligence. We finally had structured data our teams could trust.”
A luxury goods brand selling across Europe and the USA wanted to monitor unauthorized retail listings, pricing inconsistencies, promotional misuse, and brand positioning across online retailers and marketplaces.
The brand’s internal team found it difficult to track where products appeared, how they were priced, and whether third-party sellers were affecting premium positioning. Manual monitoring was incomplete and slow, especially across different countries and languages.
Hir Infotech developed a retailer intelligence workflow to track product listings, seller names, price changes, discount activity, product images, availability, and marketplace visibility. The system flagged unusual price drops, duplicate listings, and unauthorized seller patterns for review.
The brand improved visibility into grey market activity and gained stronger evidence for internal compliance and channel management teams. Pricing and brand teams used the intelligence to protect positioning and prioritize retailer follow-ups.
“Our brand team needed reliable visibility across markets. Hir Infotech delivered structured intelligence that helped us act faster and protect our premium positioning.”
A health and beauty company selling through retailers in the UK, USA, and Australia wanted to understand digital shelf visibility, ratings, reviews, category placement, pricing, and competitor movement across key retailers.
The company had strong retail partnerships but limited insight into how products performed on retailer websites. They needed to track product page visibility, review volume, competitor listings, promotional activity, and stock signals across multiple regions.
Hir Infotech built a Retailer Intelligence solution to monitor category pages, product pages, customer reviews, star ratings, pricing, promotional messages, and stock availability. The data was organized by region, retailer, category, and SKU.
The company improved digital shelf reporting, identified underperforming product pages, and discovered competitor products gaining category visibility. Marketing and eCommerce teams used the intelligence to refine content, promotions, and retailer-specific strategies.
“Hir Infotech helped us understand how our products appeared across retailer websites, not just whether they were listed. That visibility became extremely useful for our eCommerce team.”
A procurement team at a large consumer products company needed external market intelligence to benchmark supplier pricing, retailer movement, category changes, and regional product availability.
The procurement team had internal supplier data but lacked external retailer visibility. They needed market-based evidence to support supplier discussions, cost reviews, and category planning. The team also wanted intelligence from multiple countries, including the USA, Germany, France, Sweden, and Switzerland.
Hir Infotech created a retailer intelligence workflow that collected public retail pricing, assortment depth, product descriptions, brand coverage, stock signals, and category-level movement. The data was delivered in structured reports aligned with procurement review cycles.
The procurement team gained stronger market context for supplier negotiations and category planning. They used retailer intelligence to identify pricing variance, product overlap, supply gaps, and regional differences across comparable products.
“We needed external data that procurement could actually use. Hir Infotech helped us bring market visibility into supplier conversations with much more confidence.”
A procurement team at a large consumer products company needed external market intelligence to benchmark supplier pricing, retailer movement, category changes, and regional product availability.
The procurement team had internal supplier data but lacked external retailer visibility. They needed market-based evidence to support supplier discussions, cost reviews, and category planning. The team also wanted intelligence from multiple countries, including the USA, Germany, France, Sweden, and Switzerland.
Hir Infotech created a retailer intelligence workflow that collected public retail pricing, assortment depth, product descriptions, brand coverage, stock signals, and category-level movement. The data was delivered in structured reports aligned with procurement review cycles.
The procurement team gained stronger market context for supplier negotiations and category planning. They used retailer intelligence to identify pricing variance, product overlap, supply gaps, and regional differences across comparable products.
“We needed external data that procurement could actually use. Hir Infotech helped us bring market visibility into supplier conversations with much more confidence.”
Rely on Hir Infotech for 95%+ accurate data, meticulously verified to fuel your B2B success. Our global scraping solutions deliver trusted insights for confident decision-making worldwide.
With 12+ years of expertise, Hir Infotech has served 2745+ clients globally. Our proven scraping solutions drive B2B success across the USA, Europe, and Australia.
Rely on Hir Infotech for 95%+ accurate data, meticulously verified to fuel your B2B success. Our global scraping solutions deliver trusted insights for confident decision-making worldwide.

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Need clearer visibility into retailer pricing, availability, promotions, or competitor movement? Hir Infotech can prepare a free sample showing how structured Retailer Intelligence can support your pricing, growth, procurement, product, or data teams. With 13+ years of experience, 2745+ happy clients, and global delivery across the USA, Europe, and Australia, we help B2B companies turn retail data into business-ready intelligence.
Retailer Intelligence helps teams detect pricing changes, promotions, stock shifts, and competitor activity quickly. This allows B2B companies to respond with better timing instead of waiting for delayed market reports.
Hir Infotech replaces manual checking with automated retailer intelligence workflows. Teams can monitor large product catalogs, multiple regions, and many retailer sources without increasing internal workload.
Structured retailer intelligence can feed analytics platforms, dashboards, AI models, CRM systems, ERP tools, and forecasting workflows. This helps businesses turn market data into operational intelligence.
Structured retailer data helps pricing teams compare market movement, discount depth, shipping costs, and promotional timing. This supports margin protection, competitive pricing, and evidence-based commercial planning.
Retailer data is cleaned, normalized, deduplicated, and structured for business use. This helps teams avoid unreliable spreadsheets and use consistent data across reporting, analytics, and decision-making.
Monitor which products, variants, bundles, and categories competitors are adding or removing. This helps product and merchandising teams identify gaps, opportunities, and changing customer demand.
Businesses operating across the USA, Europe, and Australia need localized intelligence. Hir Infotech supports multi-region monitoring across pricing, assortment, language, retailer behavior, and market-specific data requirements.
Understand how products appear across retailer websites, category pages, search results, and marketplaces. Better visibility helps eCommerce teams improve positioning, content, and retailer-specific performance.
Procurement, sales, and account teams can use retailer intelligence to support negotiations, performance reviews, and category discussions with stronger evidence and clearer market context.
Automated retailer monitoring reduces repetitive manual work, improves reporting speed, and helps skilled teams focus on strategy, analysis, and commercial action instead of collecting data by hand.
At Hir Infotech, we offer flexible pricing models to power your data-driven success. Choose Subscription-Based Pricing for ongoing scraping needs with predictable costs, Pay-As-You-Go for one-off tasks billed by usage, Project-Based Flat Fees for tailored, end-to-end solutions, or Hourly Pricing for custom development and complex challenges. Whatever your budget or project scope, our expert team delivers cost-effective, high-quality web scraping solutions designed to fit your needs.
A one-time fee is charged for a specific project, regardless of volume or duration, based on scope and complexity.
Billed based on the time spent developing, running, or maintaining the scraper, often used for custom or consulting-heavy projects.
Charged based on actual usage, such as per request, per GB of bandwidth, or per page scraped, with no fixed commitment.
pay a recurring fee (monthly or annually) for access to scraping services, often tiered based on usage limits like the number of requests, pages scraped, or data points extracted.
We begin by collaborating with you to define your data needs—be it for a one-time project, recurring insights, or custom solutions. Whether you opt for Pay-As-You-Go flexibility, a Project-Based Flat Fee, Hourly expertise, or a Subscription plan, we align our approach to your objectives.
Our team identifies the websites and data sources critical to your project. We analyze site structures, assess complexity (e.g., static vs. dynamic content), and plan the most efficient scraping strategy, ensuring compliance with public data access norms.
Using cutting-edge tools and custom-built scrapers, we extract data at scale. We tackle challenges like JavaScript-rendered pages or anti-scraping measures with techniques such as:
Raw data is parsed, cleaned, and structured into formats like CSV, JSON, or Excel. We remove duplicates, correct errors, and validate accuracy to ensure you receive reliable, ready-to-use datasets.
Depending on your pricing model, we deliver results how and when you need them:
We monitor site changes, adapt scrapers as needed, and provide support to keep your data flowing seamlessly. Subscription clients enjoy continuous updates, while Hourly clients benefit from hands-on refinements.
Retailer Intelligence is the process of collecting, structuring, and analyzing retailer data such as prices, promotions, product availability, assortment, category movement, seller activity, reviews, and digital shelf visibility. For B2B companies, it helps pricing, procurement, growth, product, and data teams understand market behavior and make better decisions with reliable external data.
Hir Infotech builds AI-driven web scraping and data intelligence workflows that extract retailer data from websites, marketplaces, product pages, category pages, store locators, and public digital sources. The data is cleaned, validated, normalized, and delivered through spreadsheets, dashboards, APIs, databases, or BI-ready formats depending on client needs.
Retailer Intelligence is useful for brands, manufacturers, distributors, marketplaces, SaaS analytics companies, procurement teams, eCommerce teams, and enterprise retailers. It is especially valuable for companies managing large catalogs, multiple markets, competitive pricing pressure, retailer partnerships, or regional expansion across the USA, Europe, and Australia.
Hir Infotech can monitor product names, prices, discounts, promotions, stock status, seller details, product descriptions, images, ratings, reviews, shipping information, category placement, product variants, store locations, and competitor assortment. The exact fields depend on the business objective, source type, and compliance requirements.
No. Price monitoring is one part of Retailer Intelligence. A complete retailer intelligence solution also includes product availability, assortment tracking, promotion monitoring, digital shelf visibility, review intelligence, marketplace seller tracking, store locator data, and category-level competitive analysis.
Retailer data can be updated daily, weekly, monthly, or at custom intervals based on business requirements. High-priority pricing, stock, and promotion workflows may need more frequent monitoring, while assortment or category intelligence may be delivered weekly or monthly.
Yes. Hir Infotech can deliver retailer intelligence in formats compatible with BI dashboards, CRM platforms, ERP systems, pricing tools, analytics platforms, cloud databases, and internal reporting workflows. Common delivery formats include CSV, Excel, JSON, API feeds, databases, and dashboard-ready structured files.
Hir Infotech uses data validation, field mapping, duplicate checks, source monitoring, quality review, normalization, and exception handling to improve reliability. Our process is designed to produce clean, structured, and business-ready retailer intelligence instead of raw, inconsistent data dumps.
Yes. Hir Infotech supports retailer intelligence projects across the USA, UK, Germany, France, Italy, Spain, Denmark, Netherlands, Iceland, Austria, Sweden, Switzerland, Australia, and other global markets. We help companies manage regional data differences, language variations, retailer formats, and market-specific intelligence needs.
Hir Infotech provides a managed, enterprise-ready Retailer Intelligence service backed by 13+ years of experience, 2745+ happy clients, and global delivery capability. Unlike freelancers or generic tools, we focus on scalable workflows, data quality, compliance awareness, business context, structured delivery, and long-term reliability.
Amazon (USA)
Walmart (USA)
Target (USA)
Best Buy (USA)
Yelp (USA)
Tesco (UK)
Sainsbury’s (UK)
Yell (UK)
Carrefour (France)
Cdiscount (France)
Otto (Germany)
MediaMarkt (Germany)
El Corte Inglés (Spain)
Zalando (Germany/Europe)
Bol.com (Netherlands)
Coop (Switzerland)
ICA (Sweden)
Woolworths (Australia)
Coles (Australia)
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inquiry@hirinfotech.com
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