Best Practices

Keep Your Calendars & Promos Fresh

Frequent refreshing of holiday calendars and promo planners is necessary in order to plan and forecast things right. This is to make sure that factors as important as state holidays, religious events and prominent sales days are taken into consideration when calculating for sales volume and demand needs. Real-time scheduling is the key to synchronising marketing campaigns, stock holding and staffing; preventing lost sales or out-of-stocks at busy times. Effective ecommerce analytics helps retailers stay ahead of seasonal demand patterns.

Validate the Model by Inspecting Its Against Historical Highs

Back-Testing: This is the process of verifying how well your models predict a peak by comparing forecasted data to actual historical peak performing periods. By validating your model you can pin point where your model might be falling short or potentially suggesting ways to improve the power of your prediction. Robust back-testing makes sure that your predictions scale with reality and real-world variations, especially when servers are busy. This predictive analytics ecommerce approach ensures more accurate demand forecasting.

Collaborate Across Teams - Merchandising, Supply Chain, Marketing - for an Entire Business View

Business planning is a team sport. Business planning should be holistic-most business decisions will engage not just finance, and it requires cross-functional collaboration. Incorporating merchandising, supply chain and marketing teams into the forecasting and planning process enables companies to link inventory management, source replenishment and promotional activities. This single, unified view breaks down silos, fosters information sharing and facilitates faster, more coordinated decision making; resulting in better customer service, with more efficient operations. Marketing attribution and marketing analytics insights help teams understand which channels drive the most revenue during peak seasons.

How trivas.ai Helps

trivas.ai enables companies of all sizes to easily deploy these best practices using the most sophisticated e-commerce analytics platform. It allows users to auto-update and synchronize holiday calendars, promotions, etc into the forecasting models for better demand planning. trivas.ai has strong back testing functionality for users to verify and enhance forecasting accuracy by comparing predictions based on the model with historic sales data. Moreover, trivas.ai offers one dashboard providing ecommerce insights available to merchandising, supply chain and marketing teams improving communication and strategy. This ecommerce data analytics tool integrates seamlessly with Shopify analytics and other ecommerce platforms, making trivas.ai an essential ecommerce tool for efficient, proactive business planning and revenue optimization during peak season.