| File | Date | Author | Commit |
|---|---|---|---|
| README.md | 2025-10-06 |
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[d1fa07] Update README.md |
| codebill.c | 2025-10-06 |
|
[a1d4e3] Create codebill.c |
Empowering Billing: Seamless Bill Generation in C
Bill Generation in DMart via electricity bill generator concept
Research
Concept of electricity bill
1.1 Introduction:
Accurate electricity billing is essential for fair energy consumption charges and efficient revenue collection. Billing systems typically calculate charges based on the number of units consumed, with varying tariff structures for different customer categories, such as domestic and commercial. This project aims to design a system that inputs customer details—including ID, name, telephone number, type, and units consumed—and generates a detailed bill. By understanding existing billing models and customer classifications, the system will ensure accurate calculations and user-friendly outputs, addressing common challenges like manual errors and delayed bill distribution.
1.2 Key Points / Definitions:
Electricity Billing: The process of calculating charges based on the units of electricity consumed.
Units Consumed: The amount of electricity used by a customer, measured in kilowatt-hours (kWh).
Customer Types: Categories of customers (Premium or Standard) that are charged at different tariff rates.
Tariff Structure: The pricing model used to determine the cost per unit, which can be flat or slab-based.
Bill Calculation: The method of determining the total bill by multiplying units consumed by the applicable tariff.
Importance of Accurate Billing: Ensures fairness in charges and reduces disputes between consumers and utility providers.
Input Validation: The process of verifying that customer input is correct and within acceptable limits.
1.3 Summary:
Electricity billing is crucial for accurate charge calculation based on consumption, with varying rates for domestic and commercial customers. By understanding key components such as customer types, tariff structures, and bill calculation methods, this project aims to design a system that efficiently generates electricity bills. Input validation ensures accurate data entry, while proper billing methods maintain fairness and prevent errors, leading to transparent and reliable billing for all users.
1.4 Sources:
https://www.sciencedirect.com/science/article/pii/S0306261923014940
https://paytm.com/blog/bill-payments/electricity-bills/calculate-electricity-bill-online/
https://tinyurl.com/electricity-bill-genratorr
2.4 Pseudocode:
Start
Read Customer Details (ID, Name)
Read Purchased Items and Quantities
For each item:
Calculate item cost = quantity * price
Calculate total bill amount = sum of all item costs
Display Customer Info and Bill Details
Stop
2.6 Sources:
https://www.studocu.com/in/document/university-of-mysore/numerical-solutions-of-algebraic-and-transcendental-equation/supermarket-billing-system-report/30639649
https://www.researchgate.net/publication/394680030_AI_Based_Automatic_Billing_System
https://www.cbi.eu/market-information/apparel/how-calculate-cost-price-apparel-item
3.1.1 Input Validation Loop:
Use a loop to ensure the user provides valid inputs for customer details and purchased items. This guarantees that only proper and complete information is accepted.
3.1.2 Multiple Customer Bill Generation:
Enable billing for multiple customers in one session, with each customer’s bill calculated separately. This adds complexity in handling multiple entries and ensures efficient processing.
3.1.3 Visual Display of bill:
Show the final bill not only as plain text but also in a structured format like tables or simple ASCII art. This improves user interaction and offers a clear representation of bill details.
3.1.4 Bill Persistence: Store and maintain customer bill data for future reference. This allows retrieval of past bills, simulating real-world record keeping in retail stores.
3.1.5 Time-Based Billing:
Introduce dynamic pricing that can vary based on time (e.g., peak shopping hours vs. off-peak). The system adjusts prices or offers discounts accordingly, reflecting real-world retail strategies.
3.2 New Innovations for Future Enhancement
3.2.1 Smart Billing Integration: Integrate smart inventory and sales tracking systems that allow real-time monitoring of item sales and stock levels at DMart. This introduces IoT-based automation and improves billing accuracy.
3.2.2 Usage Alerts:
Send notifications if certain items or categories exceed preset sales or inventory thresholds, making the system proactive and helping management react quickly.
3.2.3 Energy Optimization Algorithms: Implement algorithms to suggest discounts or promotions based on sales trends, time of day, or inventory levels. This boosts efficiency and maximizes revenue.
3.2.4 User Configurable Settings:
Allow DMart managers to set custom rules for pricing, discounts, or offers based on time, customer type, or product category.
3.2.5 Interactive Visualization:
Provide real-time graphical dashboards (console-based or GUI) showing sales performance, bill summaries, and inventory status. This aids quick decision-making and store management.
3.3 Conclusion:
By adding these innovative features, the DMart billing system can become more interactive, adaptive, and efficient. These enhancements offer opportunities for developers to explore advanced programming concepts, IoT integration, and smart retail management, better preparing them for real-world applications in retail automation and customer service.