Retail
Seeking retail innovation insights from reports.
Gain insights on retail innovations and future work trends — effortlessly sourced from global reports without manual research.
SOURCES
What retail innovation sources do we read?
Our monitoring solution taps into 12 reputable sources, including Forbes, McKinsey, BCG, Gartner, and Euromonitor. These sources provide continuous structured data on emerging retail innovation case studies and future of work trends. We track essential columns such as Source, Title, Summary, Industry, and Findings to ensure you receive comprehensive insights into the latest developments in the retail sector.
100x faster
than manual data collection
DATASET
What retail innovation data does it find?
The dataset includes critical columns like id, Source, Title, Summary, Industry, Region, Findings, EstimatedImpact, LastUpdated, and Status. This structured data allows you to analyze the impact of retail innovations and workforce trends effectively. By normalizing this dataset, we ensure that you can easily draw comparisons and insights across various reports and case studies.
90%
faster than manual audits.
ANALYTICS
Understanding the retail innovation dataset
Our dashboard features 12 insightful widgets designed to visualize the data effectively. Key widgets include the 'Total Case Studies Collected' metric, the 'Emerging Retail Innovations Over Time' line chart, and the 'Top 5 Retail Innovations by Source' bar chart. These analytical tools help you quickly understand trends and make data-driven decisions regarding retail innovations and future work strategies.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get retail innovation alerts?
Stay informed with our single enabled alert rule that notifies you of significant updates in retail innovation case studies and future work trends. You can receive alerts via Email or API, ensuring you never miss critical insights. This feature is designed to keep you ahead of the curve in a rapidly evolving retail landscape.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does retail innovation data go?
Our monitoring solution seamlessly integrates with popular platforms, including Snowflake, Google Sheets, and API access. With these integrations, you can easily export and analyze the structured data in your preferred environment. This flexibility allows you to leverage the insights gained from our monitoring for strategic planning and execution.
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
