Inventory & Sales Data Analyst / Dashboard Developer (Loyverse POS + API Integration)

@OutsourceMan

As an experienced data analyst and developer with a robust background in API integration, my team at CnELIndia is poised to provide the dynamic, automated inventory management solution you're looking for. Having worked on multiple web and app development projects that demanded similar skill sets, we understand the intricacies of designing a dashboard that accurately calculates various stock parameters while leveraging loyalty POS data. Our fluency in technologies such as PHP, WordPress, WooCommerce, React Native – not to mention our affinity for clean Power BI, Tableau dashboards – makes us adept at extracting data efficiently. One of Loyverse API's most significant advantages is its ability to streamline and automate data extraction processes. Our expertise in this arena ensures your inventory management will no longer be reliant on manual exports. Our distinct strength lies in accounting for variables like stockout periods - a crucial parameter often missed in sales calculations. Our proactive approach doesn't stop there - we take pride in our ability to spot and flag low stock risks. All these features combined with our commitment to ongoing support for improvements and scaling make us the ideal fit for your project. Combining technical expertise with practical industry understanding ensures huge dividends not just in effective decision-making but improving overall inventory management across your stores.

@softsolution2000

I have carefully reviewed your project requirements for the development of an inventory and sales data dashboard using Loyverse POS data. I understand the need for accurate inventory metrics, out-of-stock tracking, and visualization of key performance indicators. My experience in data analysis, dashboard creation using Tableau, and API integration align well with your project needs. I am confident in my ability to deliver a user-friendly dashboard that will optimize your inventory management and decision-making processes. Please review my profile for relevant experience and let's discuss how we can proceed with this project. Looking forward to the opportunity to work together.

@extreamcode

Hi there, I’ve read your inventory and sales dashboard brief and I’m confident I can deliver a dynamic, automated Loyverse-based solution that adds precision to every restock decision. With extensive experience in retail analytics, API integrations, and multi-store dashboards (Power BI, Tableau, and web-based options), I will build a system that ingests stock, sales, and availability history from Loyverse and surfaces actionable metrics like adjusted average daily sales (excluding stockout days), stock turnover, days of inventory, sell-through, and flags for low stock or stockout risk. The dashboard will support multi-store views, trend analysis, and discounting recommendations for slow movers while ensuring best-sellers remain primed for replenishment. I’ll outline a clear data pipeline, robust handling of stockouts, and automated alerts. I’ve shared an initial estimate based on your description, and once we go over a few technical details, I’ll confirm the exact cost and delivery schedule. 1) Do you want the initial rollout to cover all stores from day one or start with a pilot store and scale 1–2 weeks later? 2) Which LOYVERSE data endpoints are you currently using (Back Office, Inventory, and Sales APIs), and do you require real-time synchronization or nightly ETL? 3) Are there preferred KPIs or thresholds for alerts (e.g., target sell-through, max days of inventory) that should be baked into the first dashboard version? Asad - I sense this isn’t just about dashboards; i

@kabirchy

Hello, I can help build a reliable, automated dashboard for your inventory and sales using Loyverse data, with accurate stockout-aware metrics. I’ve worked on similar retail analytics setups and understand the core issue: sales averages must exclude out-of-stock periods to reflect true demand. Approach: • Integrate Loyverse API (or scheduled exports if needed initially) • Build a structured data model (products, stock levels, sales, time) • Reconstruct stock availability timeline per SKU • Detect stockout periods using inventory change events • Calculate adjusted metrics only for in-stock days Key metrics: • Adjusted average daily sales • Stock turnover and sell-through rate • Days of inventory remaining • Stockout days per product • Low stock and risk alerts • Best sellers and slow movers Dashboard: • Clean, filterable views (by store, SKU, category, time) • Visual KPIs, trends, and alerts • Built in Power BI, Tableau, or a lightweight web dashboard I’ll also ensure the system is scalable for multi-store tracking and future forecasting. Quick question: do you currently have historical stock movement data available via API, or only current stock snapshots? I can share similar dashboard work and POS-related projects on request. Best regards, Khorshed

@kamran2012

Hi, I will build your Loyverse API-integrated dashboard — automated stock pulls, sales data, and adjusted daily averages that exclude out-of-stock days — so your purchasing decisions reflect actual selling velocity. For stockout tracking, I will compare daily inventory snapshots against sales receipts to flag zero-stock periods per SKU, then recalculate all metrics on available days only. This eliminates the core distortion in your current process. Questions: 1) Do you prefer Power BI, Tableau, or a web-based dashboard? 2) How many stores and approximate SKU count are we working with? Looking forward to talking through the details. Kamran

@iglobalvn

I can turn your Loyverse data into a decision-ready inventory dashboard that correctly accounts for stockout days—not just raw sales volume. That means cleaner restock decisions, better purchasing, and fewer missed sales on top products. I’m a strong fit for this project because I’ve built API-driven reporting workflows and inventory dashboards that combine sales, stock, and availability logic into one view. For your use case, I’d specifically model product-level stock history so adjusted average daily sales excludes out-of-stock days, which is the key gap in the current manual process. Key strengths I bring: • API integration and automated data pipelines • SQL-based metric logic for turnover, sell-through, days of inventory, and low-stock flags • Clear dashboards in Power BI/Tableau/web apps for multi-store visibility Relevant experience includes retail analytics, POS data processing, and dashboard development for operational teams needing fast, accurate replenishment insights. My approach: connect Loyverse API, structure the data model, calculate stockout-aware KPIs, build alerts for risk items, and deliver a clean dashboard with filters by store, SKU, and period. If needed, I can also suggest extra KPIs like stock cover, ABC classification, and reorder priority. If you’d like, I can outline the exact data model and dashboard layout for your stores.

@HiraMahmood4072

Hello, With over 7 years of experience in Data Processing and Data Visualization, I have carefully reviewed your project requirements. I propose to build a dynamic and automated dashboard utilizing Loyverse API integration to provide accurate inventory and sales insights. To address the limitations of the current manual process, I will integrate with Loyverse API for automated data extraction, enabling real-time tracking of stock levels, sales trends, and product availability. The dashboard will calculate key inventory metrics such as adjusted average daily sales, stock turnover rate, and days of inventory remaining. Additionally, I will implement features like identifying slow-moving products, best sellers, and alerts for low stock or risk of stockouts. The dashboard will be designed for ease of use and visual clarity using Power BI, Tableau, or a web-based platform. I believe this solution will help optimize purchasing decisions, prevent stockouts, identify discount opportunities, and enhance overall inventory management efficiency. Let's discuss further in chat to explore how I can tailor this solution to meet your specific needs. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@VianRey1

It’s exhausting to second-guess your inventory decisions when manual exports miss out-of-stock days, leaving you with misleading sales averages and the risk of empty shelves or overstocked slow movers. You need more than just data dumps—you need real insight to avoid stockouts, spot best sellers instantly, and optimize every order. Imagine a clean, automated dashboard that connects directly to Loyverse, tracks every product’s true availability, and highlights exactly which items need urgent attention or discounting. You’ll finally have adjusted sales figures, smart alerts, and a clear path to better purchasing across all your stores. Here’s how we can get you there: First, connect directly to Loyverse using the API for live data. Next, calculate adjusted metrics that actually exclude stockout periods. Finally, visualize everything in a user-friendly dashboard tailored for your team’s daily decisions. Which KPIs or alerts would be most useful for your store managers to see first?

@juanjosec63

Hi, I have strong experience in data analysis, API integration, and building custom dashboards that provide actionable insights for retail and inventory management. I specialize in using tools like Power BI, Tableau, and custom web-based solutions to create visual, user-friendly dashboards that enable effective decision-making. For this project, I would integrate the Loyverse API to automate the extraction of stock, sales, and availability data, ensuring that inventory and sales performance are accurately tracked. I will implement calculations for key metrics like adjusted average daily sales (excluding stockout days), stock turnover rate, and sell-through rate, while providing alerts for low stock and risk of stockouts. The dashboard will be intuitive and clear, helping you avoid stockouts on best-selling products, identify slow-moving items, and optimize your purchasing decisions. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@johnallenvillan1

Hi, I've gone through your need to replace manual Loyverse exports with an automated dashboard that accurately reflects sales performance, especially by accounting for stockout days. I’ve delivered similar POS‑integrated dashboards where I built end‑to‑end pipelines that pulled API data, reconstructed availability timelines, and generated accurate adjusted sales metrics that improved purchasing accuracy by over 20%. The real challenge here is correcting sales averages by rebuilding a per‑SKU availability history; a lot of developers overlook gaps in the API data and end up with misleading KPIs. Getting this right determines whether your stockout alerts and reorder logic are trustworthy. I’ll pull stock, sales, and movement data via the Loyverse API, reconstruct stock‑availability intervals, calculate adjusted daily sales, turnover, sell‑through, and build a clean multi‑store dashboard in Power BI or Tableau. I’ll also structure the data model so you can scale easily. Before finalizing the build, I need clarity on the frequency of API pulls, the preferred hosting for the data pipeline, and whether forecasting should be included. I can deliver the initial version quickly and iterate based on your feedback. Best regards, John allen.

@ashinnd84

Hello there, we are a team of developers and we have gone through your requirement. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@manojmalviya93

Hi, I'm a developer specialized in API Integration, AI, and automation, and I'm confident I can deliver the data analyst dashboard you require. My previous experience includes building several similar systems, and I am familiar with the complexities included in the creation of a visual dashboard. I understand your aim to link it with Loyverse POS. Therefore, I will ensure the platform is intuitive, easy to understand, and accurately captures your data requirements. Feel free to let me know if you have any questions or unique specifications for the project — I'm always open for further discussion on the project scope.

@MZITSERVICES

Hello! My name is A.R.M. Masud, and I am excited about the opportunity to employ my experience in data science to assist your company in creating a dynamic dashboard that optimizes your inventory management through accurate sales analyses. I bring a strong technical background in languages such as Python, MATLAB, JavaScript, and SQL. In particular, my proficiency with the Loyverse API (and other similar POS systems) will significantly streamline the project. I have substantial expertise in data visualization, ensuring that all necessary KPIs will be clearly conveyed on the dashboard using Power BI or Tableau. Additionally, my mastery of popular Python libraries such as Pandas and NumPy makes me an ideal candidate for automated extraction of relevant data fields and calculating key inventory metrics. My ultimate goal is to help you avoid stock-outs and optimize purchasing decisions through effective identification of slow-moving and bestselling products. Let's create a dashboard that enhances sales performance and inventory management every step of the way!

@khaliduom103

‎Hi i am an experienced python/Matlab developer with PhD in applied mathematics and data analyst.I can help you Matlab/python coding, optimization, numerical analysis،simulation and stock data prediction of the stock data. ‎

@billybryan98

Hello [ClientFirstName], I hope you are well and ready to turn Loyverse data into a fearless decision tool. I’m a solo data analyst and dashboard developer who lives in the numbers, with hands-on experience pulling Loyverse POS data, merging stock, sales, and availability history, and building clean, actionable visuals. I’ve built inventory-performance dashboards that automatically ingest stock, sales, and live availability, then calculate adjusted daily sales, stock turnover, days of inventory, sell-through, and flags for low stock or stockouts. I’ll implement a robust Loyverse API integration, automated extractions, and a modular dashboard (Power BI/Tableau/web) that highlights slow-moving items for discounts and fast-sellers for restocking, with alerts and per-store visibility. You’ll get a concise, interactive dashboard and a clear path to scale across stores. I can start with the initial dashboard and deliver tangible insights within a couple of weeks. Best regards, Billy Bryan

@besho87

Hello, I’d be happy to support this project. I have experience working on data analysis, dashboard design, API-driven reporting, and inventory performance tracking, and I can help you build a clear, automated decision-making dashboard for your Loyverse POS data. I also hold an MBA, which supports my background in business analysis, reporting, and operational decision support. My proposed approach: • Connect to Loyverse API and automate extraction of: – stock data – sales data – item/SKU-level history – multi-store activity • Build a structured data model to calculate: – Adjusted Average Daily Sales (excluding stockout days) – Stock turnover – Days of inventory remaining – Sell-through rate – Best sellers / slow movers – Low-stock and stockout-risk alerts How I would handle stockout tracking: • Reconstruct availability by SKU using stock movement / inventory snapshots • Identify days where stock = 0 at store or total level • Exclude those days from sales-rate calculations • Use this adjusted logic to improve reorder and discounting decisions Deliverables: • Automated dashboard in Power BI / Tableau • Clean visuals for store-level and SKU-level monitoring • KPI logic that is transparent and maintainable • Recommendations for additional useful KPIs if needed I’m comfortable with one-time implementation and also open to ongoing improvement and scaling. Best regards.

@SmartCodeDev

Hello I can build a fully automated inventory and sales dashboard using Loyverse API with accurate stockout-aware analytics. I will replace your manual process with scheduled data sync (sales, stock, item history) and structured storage for analysis. Stockout tracking will be handled by reconstructing daily inventory states per SKU to detect zero-stock periods accurately. Adjusted metrics like true average daily sales (excluding stockout days), stock turnover, sell-through, and days remaining will be calculated reliably. Dashboard can be built in Power BI or as a custom web app (React + charts) depending on your preference. I will include clear visuals for best sellers, slow movers, and alerts for low stock and stockout risks. System will support multi-store filtering and comparisons. I can also suggest forecasting (demand prediction) and reorder recommendations as an extension. Timeline: 5–7 days for initial dashboard with API integration. I have experience with POS data systems and inventory analytics and can share similar work on request.

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, thank you for sharing your detailed project brief with us. I can build your visual dashboard for inventory and sales performance using Loyverse API with a dynamic, automated, and insightful design. I will deliver: • Loyverse API integration • Automated data extraction (stock, sales, availability) • Key inventory metrics calculations • Product performance identification • Real-time alerts system • User-friendly dashboard (Power BI) You will also receive: • User guide for efficient navigation I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag

@ayesha86664

Hi there! You are building a multi store inventory and sales dashboard from Loyverse POS, and the real challenge is stockout days skewing true demand, which leads to wrong reorder decisions. I built a retail analytics dashboard for a multi outlet store, fixing stock visibility gaps and improving restock accuracy by 20 percent using API driven data models. I also handled POS pipelines and KPI design for sales tracking. I will connect Loyverse API to pull sales, stock, and product history, then design logic to exclude out of stock days and compute true demand. Then I will build a clean dashboard with alerts for low stock, slow movers, and reorder signals. Check our work: https://www.freelancer.com/u/ayesha86664 What level of historical depth do you want for stockout tracking, daily snapshots or event based history from API logs? I am ready to start — just say the word. Best Regards, Ayesha