CONNECTING THE DOTS

Tracking sales by category helps identify top-performing product groups and underperforming segments. This allows businesses to optimize inventory, marketing efforts, and pricing strategies based on customer demand across categories.

Analyzing individual product sales uncovers trends in customer preferences, fast-moving items, and potential dead stock. It supports decisions on product promotion, bundling, and discontinuation.

Monitoring transaction volumes over time reveals purchasing patterns and business activity levels. Spikes or dips may indicate seasonal demand, marketing campaign effectiveness, or external influences on consumer behavior.

Understanding preferred payment methods (e.g., cash, card, digital wallets) and order types (e.g., delivery, takeaway, in-store) helps tailor the customer experience, streamline operations, and identify opportunities for payment partnerships or process improvements.

Identifying peak sales periods—by hour, day, week, or season—enables efficient resource planning, workforce allocation, and promotional timing to maximize revenue during high-traffic windows.

CLV measures the total revenue a business can expect from a customer over time. It helps segment high-value customers, inform loyalty strategies, and allocate marketing budgets effectively.

These metrics reflect customer loyalty and satisfaction. High retention or low churn indicates strong brand loyalty, while analyzing churn reasons can highlight areas needing improvement in product, service, or engagement.