Problem Samples
Use these samples to understand what you can submit. If your problem is different, describe it and we will review it.
Click any card to see the problem and our solution approach.
Problem: Weekly sales reports take hours to prepare manually. Team members combine multiple sources, calculate metrics, format tables, and distribute to executives—a repetitive bottleneck.
Solution: Automated Power BI dashboard with sales, profit, region, product, and management KPIs. Real-time updates eliminate manual work.
Problem: Sales data is updated manually in multiple Excel files. Reps enter data in one sheet, managers consolidate in another, leaders use a third. Version conflicts and errors are constant.
Solution: Clean reporting structure with automated refresh and one central dashboard where all sales data flows automatically.
Problem: Data has duplicates, missing values, and inconsistent categories. E.g., 'New York' appears as 'NY', 'new york', 'N.Y.', making analysis unreliable.
Solution: Data cleanup rules, standard formats, and a repeatable reporting model so bad data is caught before it affects decisions.
Problem: Business data is stored in many CSV files with no proper structure. Relationships between files are unclear, and queries require manual joining.
Solution: Convert files into a clean database structure with proper relationships, ready for fast reports and automation.
Problem: Existing Power BI report is slow, confusing, or showing wrong numbers. Users distrust the report and revert to Excel instead.
Solution: Audit and fix the data model, measures, visuals, filters, and performance so the dashboard becomes the source of truth.
Problem: Management still depends on static Excel reports emailed weekly. No interactivity, no self-service, no drill-down.
Solution: Convert Excel reports into interactive Power BI dashboards with filters, drill-down, and real-time data.
Problem: Business cannot clearly track income, expenses, profit, and cashflow. Financial data is scattered across banks, invoices, and expense apps.
Solution: Finance dashboard showing revenue, cost, profit, cashflow, trends, and forecasts in one place.
Problem: Expenses are tracked manually and reporting is delayed. Team waits weeks for monthly financial summaries.
Solution: Automated finance report pulling from expense apps, showing categories, trends, and summary views instantly.
Problem: Stock levels are unclear and low-stock items are missed. Managers check multiple systems and spreadsheets.
Solution: Inventory dashboard showing stock levels, fast-moving items, slow movers, and automatic reorder alerts.
Problem: Warehouse data is scattered across Excel sheets maintained by different people. Stock counts, movements, and losses are hard to track.
Solution: Centralized reporting model combining stock, movement, wastage, and availability in one system.
Problem: Online store owner cannot clearly see best products, revenue, and profit. Data is buried in ecommerce platform reports.
Solution: Ecommerce dashboard showing orders, revenue, product performance, refunds, and customer trends.
Problem: Shopify reports do not show the full business picture. Sales data is disconnected from marketing spend, inventory, and profit.
Solution: Custom dashboard combining sales, products, customers, marketing spend, and profit KPIs from all sources.
Problem: Business runs ads but cannot clearly track return on ad spend. Marketing reports are scattered across Meta, Google, and internal tools.
Solution: Marketing dashboard showing spend, leads, conversions, ROAS, and campaign performance across all channels.
Problem: Agency manually prepares reports for every client each month. Repetitive, error-prone, and time-consuming.
Solution: Automated client dashboard with campaign KPIs and monthly reporting views that refresh automatically.
Problem: Sales team cannot track leads, follow-ups, and conversion rates clearly. Pipeline visibility is poor.
Solution: CRM dashboard showing leads, stages, follow-ups, conversion rates, and sales pipeline value.
Problem: Leads are tracked manually and follow-ups are missed. Spreadsheets get out of sync with reality.
Solution: Clean lead report with status tracking, priority view, and follow-up summary integrated with CRM.
Problem: Business data is inside different platforms and must be downloaded manually each week. Tedious and error-prone.
Solution: API pipeline that pulls data automatically from platforms into a dashboard or database.
Problem: Client inquiries are received but not organized properly. Leads get lost or forgotten in email inboxes.
Solution: Web form with database storage, admin dashboard, status tracking, and CSV export for follow-up.
Problem: Team repeats the same approval, update, or notification tasks daily. Mistakes happen, emails get lost.
Solution: Automated workflow that reduces manual steps, sends alerts automatically, and maintains an audit trail.
Problem: Staff copy, clean, and summarize data manually in Google Sheets every week. Hours of repetitive work.
Solution: Automated Google Sheets workflow with formulas, scripts, and reporting outputs that run on a schedule.
Problem: SQL reports are slow, incorrect, or difficult to maintain. Users report inconsistent numbers.
Solution: Clean SQL views, optimized queries, and consistent reporting logic that passes validation tests.
Problem: Database tables exist but are not suitable for business reporting. Reports require complex joins and calculations.
Solution: Reporting-friendly data model with clean tables, relationships, and pre-calculated KPIs.
Problem: Company documents are not searchable and staff waste time finding answers in long PDFs.
Solution: Clean, structured, tagged, and chunked knowledge base ready for AI search or RAG systems.
Problem: SOPs are stored in PDFs and Word files with no easy search. New employees spend days learning processes.
Solution: Prepare documents with structure, metadata, and test questions for an internal AI assistant to learn from.
Problem: Support team answers repeated questions manually, wasting time and delivering inconsistent responses.
Solution: Clean FAQ knowledge base that can support chatbot, helpdesk, or document search use cases.
Problem: Product information is hidden inside long manuals, making it hard for teams to find or reference quickly.
Solution: Convert manuals into clean sections with tags, categories, and searchable chunks for fast retrieval.
Problem: Reports break because of missing, duplicate, or incorrect data. Users cannot trust the results.
Solution: Data quality checks to detect bad records before they affect reporting and alert stakeholders.
Problem: Business needs ongoing report updates, fixes, and new KPIs. Building a full team is expensive.
Solution: Monthly BI/data support for dashboard maintenance, data fixes, and reporting improvements as needed.
Problem: Company needs a simple system to collect requests, track status, and manage work. Spreadsheets don't scale.
Solution: Custom internal web tool with forms, database, admin panel, and export options for collaboration.
Problem: Data is spread across Excel, CRM, ecommerce, ads, and finance tools. No unified view of the business.
Solution: Unified reporting view that brings key business information into one dashboard for informed decisions.