Retail
Track competitor metrics and retail innovations.


Gain insights into competitor metrics, tech innovations, and merchandising strategies — effortlessly automated for strategic advantage
SOURCES
What competitor store operations sources do we read?
We monitor a diverse range of sources including retaildive.com, techcrunch.com, chainstoreage.com, forbes.com, and businessinsider.com. These platforms provide continuous insights into competitor store operations metrics, new retail technology deployments, and innovative product merchandising layouts. Each source contributes valuable data points to help you stay ahead in the competitive retail landscape.
100x faster
than manual data collection
DATASET
What competitor store operations data does it find?
Our structured dataset includes critical columns such as Source, Competitor, Metric, Value, Last Updated, and Note. This normalized dataset allows for comprehensive tracking of operational KPIs and technological advancements, ensuring you have the most relevant information at your fingertips.
90%
faster than manual audits.
ANALYTICS
Understanding the competitor store operations dataset
The dashboard features 12 insightful widgets designed to visualize your data effectively. Key highlights include the 'Top 5 Competitors by Store Operations Metrics' bar chart, 'Trends in Retail Technology Deployments' line chart, and 'Recent Innovations in Product Merchandising' table. These analytical tools empower you to identify trends and make informed decisions based on competitor activities.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get competitor store operations alerts?
Stay informed with our enabled alert rules, which ensure you receive timely notifications about significant updates in competitor activities. Currently, we have one alert rule set up to keep you updated on critical changes in the retail technology landscape, helping you act swiftly on new opportunities.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does competitor store operations data go?
Our product seamlessly integrates with popular platforms, including API, Email, Slack, and Google Sheets. With multiple integration options available, you can easily share insights and data with your team, ensuring everyone is aligned on the latest competitor metrics and innovations.
100+
SERVICES TO CONNECT
INITIAL DEPLOYMENT
Limited-scope pilot
You can get started with free test data instantly!
Exact pilot scope and pricing depends on the geographic ranges and data breadth.
Most teams land around €3,000/month for these scoped deployments.
"Jsonify has saved us thousands of hours of manual data collection. The core AI data platform is powerful and versatile, automating nearly every process we need."

Cole Gottdank
Co-Founder, Helicone, YC W23
FAQ
Is Jsonify just a web scraping tool?
No. Jsonify is a market intelligence platform that collects publicly available web data and then processes, normalizes, and analyzes it to produce structured insights. While Jsonify uses automated agents to access public webpages and documents, the core value of the platform lies in what happens after collection: extracting structured product and price data, matching it to real SKUs, tracking changes over time, and delivering analytics through dashboards, exports, and APIs. Jsonify does not simply retrieve raw webpages. It transforms publicly accessible information into actionable intelligence for business use, under customer-defined instructions and compliance controls.
What kind of data can Jsonify collect?
Jsonify collects publicly available product and market data from the web, such as product listings, prices, availability signals, menus, catalogs, and related commercial information. This includes data from retailers, ecommerce sites, marketplaces, venues, and other public sources relevant to market visibility and competitive analysis.
How does Jsonify turn raw web data into something usable?
After collecting data, Jsonify extracts structured information, normalizes inconsistent naming, and matches it to real products or SKUs. The platform then aggregates and analyzes this data over time, making it usable through dashboards, charts, exports, or APIs — rather than leaving you with raw pages or unstructured text.
What makes Jsonify different from basic scraping or monitoring tools?
Most tools either collect raw data or monitor individual pages. Jsonify goes further by operating at scale across many sources, handling messy real-world data, matching it to product catalogs, and delivering analytics that answer business questions like coverage, pricing, and competitive presence — not just “what changed on a page.”
What kinds of use cases does Jsonify support?
Jsonify is used for market visibility and competitive intelligence use cases such as tracking product presence, pricing, and availability across markets; monitoring launches and distribution gaps; benchmarking competitors; and understanding how products are represented across channels and geographies.
How do teams actually use the outputs?
Teams use Jsonify through interactive dashboards in Jsonify Studio, scheduled exports (CSV or Excel), or APIs that feed internal BI tools and workflows. This allows insights to be shared across trade marketing, sales, category management, ecommerce, and analytics teams.
How quickly can Jsonify be set up?
Jsonify does not rely on rigid templates or manual page configuration. Once target sources and products are defined, data collection and analysis can begin quickly, with initial results often available in days rather than months. Coverage and update frequency can then be expanded over time.
USECASES






