Grocery Price Monitoring Software & FMCG Pricing Intelligence

Ensure uninterrupted access to localized live grocery prices across protected Q-commerce apps and supermarkets. We solve complex FMCG matching-from fresh produce to private labels-with ≥98% precision using AI and manual QA. Automate your pricing with strict margin floors and pre-launch simulations. Get actionable insights from day one for standard sources, or deploy a custom grocery data scraping API in just 5 to 14 days.

✓ Custom Enterprise SLAs | ✓ ISO 27001 & GDPR Compliant

10M+

Daily FMCG price points extracted globally

≥98%

SKU matching precision achieved via hybrid AI and QA

100+

Delivery apps, dark stores, and regional supermarkets tracked

Solving the Hardest FMCG Data Challenges

Standard web scrapers fail in food retail. We built our grocery data extraction infrastructure specifically to handle regional variations, complex matching, and mobile-first delivery platforms.

Hyperlocal Grocery Delivery Tracking

Extract public, location-based pricing down to the specific zip code. Our infrastructure is purpose-built for the hyperlocal grocery delivery model, where prices and availability shift block-by-block. We transform fragmented data from Dark Stores and Q-commerce apps into a unified, actionable market map.

Complex SKU Matching & Normalization

We go beyond standard EAN/UPC tracking. Our matching process covers both exact item-to-item matching for branded goods and like-for-like matching for private labels and weighted fresh produce. Our ML models automatically normalize different pack sizes and weights into an accurate unit price, backed by a 2% human-in-the-loop QA check.

Loyalty Cards & Promo Intelligence

The MSRP means nothing in food retail. Uncover the true supermarket competitor pricing by extracting loyalty card pricing, multi-buy offers (BOGO), and hidden delivery fees. Execute deep promo tracking and track historical price trends in FMCG to inform your markdown optimization strategies and ensure total profit margin protection against aggressive localized dumping.

High-Frequency OOS Alerts

Perishable goods move fast. Monitor competitor out-of-stock for fresh produce and other volatile categories with high-frequency updates (from daily refreshes to every 15 minutes). Turn these actionable insights into an advantage-capture revenue leakage and increase your digital shelf visibility when local competitors run dry.

Choose How You Consume the Data

From a ready-to-use pricing platform with standard terms to bespoke extraction pipelines with custom legal guarantees. We adapt to your IT landscape.

Out-of-the-Box Pricing Platform

Get immediate value with our powerful visual dashboard. Perfect for category managers and pricing teams who need actionable insights and automated reporting today, without involving internal IT.

Margin-Safe Dynamic Repricing: Enable supermarket dynamic pricing and automated pricing for grocery delivery apps. Set strict margin floors, analyze price elasticity, and simulate rules on your grocery price tracker history before auto-adjusting prices.
Custom Report Builder: Automatically generate and export matrix reports, historical trends, and category breakdowns in your preferred format.
Role-Based Access (Multi-Account): Collaborate seamlessly. Set up dedicated workspaces with specific access rights for executives, managers, and analysts.
Visual Promo & OOS Tracking: Visually track competitor stock levels, BOGO offers, and loyalty card prices directly on the dashboard.

Custom Enterprise Data Pipelines

Enterprise Ready

For mature data teams and large retailers. We build bespoke extraction pipelines to feed clean, normalized data straight into your internal architecture.

Custom API Integration: Seamlessly integrate high-frequency pricing data directly into your ERP, BI tools, or proprietary repricing engines via a custom-built API.
Bespoke Complex Reporting: Need highly specific cross-referencing? We develop custom reports of any complexity level tailored exactly to your analysts' requirements.
Dedicated Enterprise Support: Get a dedicated Customer Success team and Data Engineers to manage new extraction requests and ensure uninterrupted data flow.
SLA-Backed Source Additions: Guaranteed timelines for reverse-engineering and connecting new, highly protected Q-commerce apps and local dark stores.

Tailored Data Models for the FMCG Ecosystem

Whether you are a supermarket chain protecting your basket index or a global brand monitoring the digital shelf, our extraction infrastructure adapts to your specific strategic goals.

For Grocery Retailers & Q-Commerce

Maintain price leadership and protect margins across your digital storefronts and traditional brick-and-mortar stores.

Basket Price Index & KVIs: Track high-frequency price changes on Key Value Items (milk, bread, essentials) to build a reliable Grocery Price Index and remain competitive without eroding overall store profitability.
Private Label Benchmarking: Execute comprehensive retail price tracking for FMCG. Compare your store brands directly against competitors' private labels using our advanced pack-size normalization and unit price calculations.
Local Promo Intelligence: Capture zip-code level BOGO offers, multi-buy discounts, and loyalty card pricing to understand the real shelf price in every neighborhood.

Explore Retailer Solutions →

For FMCG Brands & Manufacturers

Control your brand image, enforce pricing policies, and monitor retailer compliance globally.

Digital Shelf Visibility: Monitor your Share of Search (SoS), overall market share dynamics, and out-of-stock (OOS) rates across hundreds of local delivery apps and regional dark stores.
MAP & MSRP Compliance: Detect unauthorized sellers and track price dumping across the omnichannel landscape with automated real-time alerts.
Assortment Overlap: Power your competitive benchmarking. Analyze which local retailers are dropping your SKUs or aggressively prioritizing competitor brands over yours.

Explore Brand Solutions →

Proven Data Infrastructure in Action

See how leading grocery networks and rapid delivery platforms scale their pricing intelligence using our extraction pipelines.

250K

Weekly Prices

50+

Cities Covered

Hyperlocal Delivery

Weekly Price Visibility for a Hyperlocal Grocery Delivery Leader

We replaced manual spot checks with an automated end-to-end pipeline. By tracking 250,000+ price points across 40+ competitors at the address level, we helped a leading hyperlocal grocery delivery service capture true promo mechanics, loyalty pricing, and regional stock gaps in real-time.

Read the Case Study →

100%

Weight-Normalized

Daily

Update Cadence

Omnichannel Grocery

Daily Price Tracking & Analog Matching for Private Label

Scaled visibility for a fast-growing grocery retailer with a 45%+ private label assortment. We deployed an AI-assisted analog matching workflow that normalizes pack sizes and weights for true apples-to-apples daily comparisons.

Read the Case Study →

Secure Onboarding & Proof of Concept

We don't just hand you an API key. Our retail data experts partner with your pricing team to define exact matching logic and validate data quality before any long-term commitment.

Phase 1

Pre-Launch Consulting & Mapping

Every grocery assortment is unique. Before we extract a single price, our experts work with your Category Managers to map the playing field.

Define strict analog matching rules for your private label items (by composition, weight bounds, and category intent).
Select the highest-impact locations, zip codes, and specific dark stores to monitor.
Establish custom extraction schedules (e.g., daily for fresh produce, weekly for pantry staples).

Phase 2

The Enterprise Test Drive (POC)

Test our infrastructure on your actual assortment. We run a scoped Proof of Concept to let your IT and Pricing teams validate the results hands-on.

Verify our ≥98% SKU matching accuracy and unit-price normalization on your real data.
Test the stability of our REST APIs and integration with your ERP/BI architecture.
Evaluate the speed and format of our reports to ensure a seamless fit into your daily workflow.

The CFO's Business Case

Why leading retailers and brands move away from in-house scraping tools and choose our managed data infrastructure.

Stop Margin & Revenue Leakage

Every minute your price is uncompetitive, you lose sales. Every minute you discount an item that your competitor is out-of-stock on, you burn margin. Automated high-frequency tracking closes these gaps instantly, turning data into direct ROI.

Zero Hidden IT Infrastructure Costs

In-house scraping seems free until anti-bot protections change. Don't waste your expensive internal developers' time maintaining broken scripts and buying proxies. We provide a predictable SLA-backed data feed with zero maintenance on your end.

Massive Labor Cost Reduction

Your Pricing Analysts and Category Managers shouldn't spend 20+ hours a week manually checking dark store apps or cross-referencing Excel sheets. Free them to focus on strategy and negotiation, not data entry.

Industry & Compliance FAQ

Clear answers for your Legal, IT, and Pricing teams.

Are your data extraction methods legally compliant?

Yes. We practice strict ethical web scraping. We extract only publicly available data (prices, stock status, descriptions) and never scrape personally identifiable information (PII). Our infrastructure routes requests responsibly to avoid putting undue load on competitor servers, ensuring full compliance with international standards like GDPR and CCPA.

We have an in-house scraping script. Why switch to a managed service?

An in-house script is simply a data parser that handles only one step: raw data collection. We offer a complete, SLA-backed managed service where extraction is just the beginning.

Unlike a basic script, our solution provides:
• Advanced Processing: High-quality product matching and data standardization into a single, clean format across multiple sources.
• Powerful Tools: A full-featured platform with dynamic repricing capabilities and comprehensive reporting.
• Expert Guidance: Dedicated technical and account management teams to support your strategy and operations.

Comparing a simple scraper to our end-to-end platform is like comparing raw materials to a finished product. We remove the IT maintenance burden and give your commercial team ready-to-use business tools.

How do you match private labels and fresh produce without standard barcodes?

We use an AI-assisted analog matching workflow tailored for FMCG. Instead of looking for identical UPCs, our algorithm evaluates product intent, ingredients, and normalizes pack weights (e.g., matching a 1kg competitor pack to your 500g SKU). All matches are subjected to a human-in-the-loop QA check, ensuring you compare true "apples-to-apples."

Do you track delivery fees, service charges, and loyalty discounts?

Yes. In Q-Commerce, the shelf price is rarely the final price. We can extract comprehensive pricing stacks, including club card pricing (loyalty tiers), cart-level delivery fees, multi-buy promos (BOGO), and dynamic service charges, giving you visibility into the exact amount the consumer actually pays.

Do you support data extraction for hyperlocal grocery delivery models?

Absolutely. Hyperlocal grocery delivery is one of our core specializations. Our engine simulates requests from specific geofenced locations to extract accurate prices and "out-of-stock" statuses from Dark Stores and Q-commerce apps. This allows you to see the exact competitive landscape your customers see in their specific neighborhood.