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Pulse Retail Audit System
Enterprise-Grade Retail Audit Software
Our solution delivers Nielsen-level field integrity and compliance tracking via a cutting-edge mobile platform. Powered by PulseRA, our software enables field teams to conduct rigorous retail audits, capture high-fidelity data, including photo verification and GPS timestamps, even in offline environments. We go beyond basic data collection by integrating directly with our ETL pipeline services, ensuring that all compliance, pricing, and planogram data is structured instantly for immediate analysis in tools like Power BI. This provides real-time, actionable insights for maximizing your store execution and market visibility.
Pulse Census Service
Map Your Market: Accurate Shop & Establishment Census Software
This platform provides the definitive tool for conducting comprehensive shop and establishment censuses, capturing crucial demographic and spatial data for your market. We ensure the captured information forms a verified and structured foundation for all subsequent retail strategy, geomapping, and market penetration analysis.
Engineering Robust ETL Pipelines for Any System
Your Digital Success Story lies in your “DATA”. We make it usable for your success
We engineer your data for success. Clean, structured, actionable.
Visualize Your Data
Transform your complex data from Retail Audits, PulseFE surveys, and various enterprise systems into clear, interactive insights with our Power BI Dashboarding Services. We specialize in designing and deploying custom ETL (Extract, Transform, Load) processes to ensure data integrity, followed by building dynamic Power BI dashboards. These visualizations provide your team with real-time clarity on key performance indicators (KPIs) like store compliance rates, sales trends, field team performance, and customer satisfaction scores. Stop wasting time compiling static reports; our Power BI solutions allow for instant drilling down into anomalies, empowering timely, data-driven decisions that directly translate into operational efficiencies and business success.
Advanced Analytics Solutions
Successful business forecasts, decisions, and strategies are driven by data.
Close the gap between data and action. Proceed with certainty
Script and host affordable questionnaires & analyse your data
Mobile Survey Software Made Easy & Affordable
With PulseFE, our offline mobile survey system, we assist Market Research Organizations in overcoming technical obstacles and setting and achieving business goals.
100% Offline Mobile Survey System: Gather information when completely offline, then upload it right away when connected to the internet
“A Dooblo project costs at least 3 times more than a Pulse FE project” – Clients
Pulse Retail Audit System
Enterprise-Grade Retail Audit Software
Pulse Retail Audit by Softofficepro is a comprehensive end-to-end solution tailored for modern retail operations. From field data collection through to dashboard-driven reporting, it empowers retailers, FMCG brands, and agencies to ensure compliance, improve merchandising standards, and optimize store execution.
Key strengths include:
Scalable architecture, proven over 5 million audits across multi-brand, multi-store environments.
Real-time data capture via mobile tools, complete with geo-tagging and photo/evidence upload.
Flexible audit templates and checklists, enabling customized KPIs without the need for deep technical skills.
Rich dashboards & analytics that deliver insights at store, category, and SKU levels.
Census Service
Comprehensive Census and Market Mapping Services
Softofficepro’s Census Service offers full-scale census and market mapping capabilities that deliver foundational business intelligence for clients across sectors. Their approach includes detailed field surveys of shops, establishments, and commercial areas; demographic profiling (income levels, consumer behavior, market segmentation); and geographic mapping of points of interest. Using mobile data collection with GPS tagging, photo documentation, and real-time validations, they ensure coverage reliability and data integrity. Multi-level quality checks including supervisory back-checks, data reconciliation, and statistical validation help guarantee that outputs are accurate, comprehensive, and actionable. The result is a data-driven foundation for decisions around retail expansion, distribution network planning, urban development, or market penetration strategies.
Expert ETL Pipeline Development for All Data Sources and Destinations
Scalable ETL Pipelines for All Your Data Needs
ETL (Extract, Transform, Load) pipelines are the critical engineering backbone for data-driven organizations. We specialize in building reliable, automated pipelines that extract raw information from any source—from your field data in PulseFE to legacy databases—then transform it into a clean, structured, and consistent format. Finally, we load this actionable data into your analytics platform (like Power BI) or data warehouse, ensuring your business decisions are always based on a single source of truth.
Scripted from scratch, our ETL pipelines are built for performance: Deliver to any platform and create insights.
“Softofficepro ETLs are much more cost-efficient than any other service” – Clients
Power BI Dashboards: Transform Your Data into Actionable Insights
ETL to Insight: End-to-End Power BI Dashboarding Services
The true power of any dashboard lies in the data integrity behind it. Our Power BI service begins with expert ETL (Extract, Transform, Load) pipeline development. We ensure every piece of data—from your PulseFE scripts to legacy systems—is meticulously cleaned, structured, and validated before it reaches the dashboard. This comprehensive approach guarantees that your final Power BI visualizations provide not just real-time views, but accurate, trustworthy insights for all your critical business decisions.
Choose Softofficepro’s Power BI service for dashboards built on expert ETL integrity, guaranteeing your visuals are driven by the cleanest, most reliable data.
Enhancing Educational Success with SSAT and NPS
Student Satisfaction Score (SSAT) A metric that measures student satisfaction with their educational experience.
Net Promoter Score (NPS) A metric that measures student loyalty and the likelihood of students recommending the institution.
Together they show the path to student satisfaction.
Satisfied Students are key to Quick Growth
Enhancing Business Success with CSAT and NPS
Customer Satisfaction Score (CSAT) A metric that measures customer satisfaction with their experience dealing with your services.
Net Promoter Score (NPS) A metric that measures student loyalty and the likelihood of customers recommending your business
Together they show the path to customer satisfaction.
Satisfied Customers are key to Quick Growth
More About Our Data Collection Systems
Who should use Entity Based Data Collection
Sales Teams, Retail Audit Teams
Any other workflow where data is collected around one entity again and again.
Entity-based Data Collection Workflow
Entity-based data collection in Pulse FE refers to a structured workflow that revolves around specific entities or subjects of interest, ensuring a systematic and organized approach to gathering data in the field. Pulse FE, forked from Open Data Kit Collect, is an open-source mobile application widely used for collecting, managing, and utilizing data in various contexts, particularly in research, humanitarian aid, and development projects.
In an entity-based data collection workflow with Pulse FE, the process typically involves the following key steps:
1. Form Design: Begin by designing digital forms that represent the entities or subjects you are studying. These forms can include various types of questions, such as text, multiple-choice, or media attachments, allowing for versatile data capture.
2. Data Structure: Define a structured data model that aligns with the entities being studied. This ensures consistency and coherence in the collected data. Pulse FE supports the use of XML-based form definitions, making it flexible for adapting to different data structures.
3. Mobile Deployment: Install Pulse FE on mobile devices (smartphones or tablets) that will be used for data collection in the field. Configure the app to sync with a central server for seamless data transfer.
4. Entity Identification: Use unique identifiers or codes to associate collected data with specific entities. This could be an individual ID, a location code, or any other relevant identifier that distinguishes one entity from another.
5. Offline Data Collection: Pulse FE allows for offline data collection, crucial for fieldwork in areas with limited or no connectivity. Enumerators can collect data without an internet connection and upload it to the server once connectivity is restored.
6. Media Capture: Capture multimedia elements such as photos, videos, or audio recordings directly within the forms. This feature is valuable for enhancing the context and richness of the collected data.
7. Validation and Quality Control: Implement validation rules within the forms to ensure data accuracy and completeness. Pulse FE provides the ability to set constraints and skip patterns, reducing errors during data collection.
8. Real-time Monitoring: Monitor data collection progress in real-time through the ODK Aggregate server or other hosting services. This enables project managers to track enumerators’ activities and address any issues promptly.
9. Data Submission and Analysis: Once data collection is complete, submit the collected data to the central server. Export the data in standard formats for analysis using tools like Excel, SPSS, or other data analysis software.
By following an entity-based data collection workflow in Pulse FE, organizations and researchers can streamline their fieldwork, ensure data integrity, and facilitate efficient analysis of collected information for informed decision-making.
Advanced Analytics Solutions
Successful business forecasts, decisions, and strategies are driven by data.
Close the gap between data and action. Proceed with certainty
Marketing Analytics
The application of scientific methods to guide marketing efforts is undergoing significant changes. Today’s Marketing Analytics should blend in newly available non-traditional sources of data with enterprise data, and adapt to the rapidly evolving digital delivery channels.
A very micro-level view of the target audience is becoming feasible with increased digital activity. The ability to connect online and offline footprint is giving the new age marketer a 360-degree view of their prospects – including their demographics, attitudes, and behaviors.
Technology, data, and analytics are driving omnichannel marketing, throughout the prospect lifecycle, with personalization at the core. This is allowing marketers to identify value propositions and the best targeting options.
Customer Analytics
A deeper understanding of the customer has never been as important as it is today. Social media, open information, new business models, and ever-increasing options make it paramount to understand the pulse of customers and predict their behaviours.
The core objectives of customer satisfaction, loyalty, and value remain the same, however, the means to the end are changing rapidly. Combining in-store and online behaviors along with social hearing and surveys is giving organizations a 360-degree customer view.
Analytics is helping organizations predict purchase patterns, customer behaviors, lifestyle preferences, and offering them hyper-personalized propositions. Data, technology, and predictive analytics are being used to redefine customer interactions.
Tools we work with
Unlocking the Power of Artificial Intelligence in Data Science
Artificial Intelligence (AI) has revolutionized the field of Data Science, bringing unprecedented capabilities to analyze, interpret, and derive insights from vast datasets. This synergy between AI and Data Science has opened new frontiers for businesses and researchers, offering enhanced efficiency and accuracy in decision-making processes. We at Softofficepro take advantage of AI:
1. Automated Data Processing:
- AI algorithms automate the time-consuming process of cleaning and preprocessing raw data.
- Automation reduces manual errors and accelerates the overall data analysis pipeline.
2. Predictive Analytics:
- AI models, such as machine learning algorithms, enable predictive analytics for forecasting trends and outcomes.
- Predictive models leverage historical data to make informed predictions, aiding businesses in strategic planning.
3. Pattern Recognition:
- AI excels in recognizing complex patterns within datasets that may be challenging for traditional analytical methods.
- This capability is particularly valuable for anomaly detection and identifying hidden trends.
4. Natural Language Processing (NLP):
- NLP algorithms enable machines to understand and process human language, facilitating interaction with unstructured textual data.
- Sentiment analysis, language translation, and chatbots are applications of NLP in data science.
5. Image and Speech Recognition:
- AI-driven image recognition and speech-to-text technologies contribute to the analysis of multimedia data.
- This is instrumental in fields such as healthcare, where medical imaging analysis benefits from AI image recognition.
6. Personalization and Recommendation Systems:
- AI algorithms power recommendation systems by analyzing user behavior and preferences.
- E-commerce platforms, streaming services, and social media utilize AI for personalized content recommendations.
7. Enhanced Decision Support:
- AI augments decision-making by providing data-driven insights, reducing reliance on intuition alone.
- Decision support systems leverage AI to analyze diverse datasets and offer informed recommendations.
8. Fraud Detection and Cybersecurity:
- AI algorithms enhance security measures by detecting anomalous patterns indicative of fraudulent activities.
- In cybersecurity, AI contributes to threat detection, helping organizations preemptively address potential security breaches.
9. Scalability and Efficiency:
- AI allows for the scalable processing of large datasets, overcoming limitations associated with traditional computing resources.
- Cloud-based AI solutions provide the flexibility to handle varying workloads efficiently.
10. Continuous Learning and Adaptability:
- AI models can continuously learn and adapt to new data, improving accuracy over time.
- This adaptability is crucial in dynamic environments where data patterns evolve.
Artificial Intelligence’s integration into Data Science amplifies the capabilities of data professionals, offering a powerful toolkit for analysis, prediction, and decision support. We help businesses and industries continue to harness the potential of AI-driven data science, the synergy between artificial intelligence and data analysis promises a future of unprecedented insights and innovation.
Companies who work with us to Script and host affordable questionnaires & analyze data
And many more…
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