
Mapular
Placer.ai
Shareloc
Intelligence Node MAP Monitoring
MapBusinessOnline.com
MAPData
MapInfo Pro
Mapit GIS
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
DocuClipper
Parsio.io
Mapular Consumer Analytics Smarter Consumer Analytics, Location Strategy, and Geomarketing โ in One Unified Platform
The best product at the wrong location wonโt sell - thatโs why mapular Consumer Analytics helps retail and D2C brands make smarter, revenue-driven decisions about where to open stores, how to boost marketing ROI, and when to expand โ all powered by real-world location and consumer behavior data.
With mapular Consumer Analytics, you can:
Capture First-Party Demand
Connect real signals from your store locator, CRM, campaigns, and in-store activity โ to understand what your customers want, and where they want it.
Combine with Location Intelligence
Enrich your internal data with external sources like foot traffic, competitor locations, demographics, and regional trends โ to see the full picture.
Act on Real-World Insight
Spot underperforming stores, uncover demand hotspots, and predict ROI across locations, products, and channels.
Simulate and Predict with Digital Twin Modeling
Test store openings, product launches, and marketing campaigns before spending budget โ with a virtual twin of your real-world business.
See How Online Drives Offline
Track how store locator searches and digital engagement turn into foot traffic and in-store revenue โ closing the attribution gap between digital and physical.
Mapular
DocParserNo Mapular videos yet. You could help us improve this page by suggesting one.
Mapular's answer
Mapular Consumer Analytics combines high-resolution geospatial data with real-time consumer behaviour insights, creating a digital twin of retail environments. Unlike traditional analytics tools, it integrates store locator data, mobility trends, demographics, and competitor locations into one intuitive platform, enabling brands to visualise, simulate, and optimise their retail strategy with precision.
Mapular's answer
Brands choose Mapular Consumer Analytics because it delivers actionable, hyperlocal insights without complex IT setups. Itโs plug-and-play, GDPR-compliant, and designed for fast decision-makingโhelping retailers identify high-potential locations, optimise expansion, and attribute in-store visits to online campaigns. Our modular pricing and full customisation make it accessible and scalable for businesses of any size.
Mapular's answer
Our primary audience includes retail strategists, expansion managers, marketing teams, and data analysts within consumer brands, retailers, and FMCG companies who want to leverage location intelligence to drive foot traffic, optimise store performance, and make data-driven growth decisions.
Mapular's answer
Mapular Consumer Analytics was created to solve a critical gap: brands lacked real-time, actionable location data to understand consumer movement and behaviour. Founded by experts in geospatial technology and retail analytics, Mapular empowers businesses to turn complex data into simple, strategic insights that fuel smarter retail growth.
Mapular's answer
Mapular integrates online and offline dataโfrom store locator searches to foot traffic and salesโinto a real-time, map-based dashboard, enabling smarter decisions around marketing, store performance, and expansion.
Mapular's answer
Our customers include leading global retailers and consumer brands across Europe and North America who rely on Mapular to optimise their store networks, marketing investments, and expansion strategies. Due to NDAs, specific names are available upon request.
Based on our record, DocParser seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
Placer.ai - Unprecedented visibility into consumer foot-traffic
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Shareloc - Tells you where to open your next location. And exactly why.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Intelligence Node MAP Monitoring - With Intelligence Nodeโs MAP monitoring, users can actively identify MAP violations in real-time, halt brand degradation, and send a warning notifications to the violators.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.