Automobile performance parts builder
Agentic AI solution for an automobile performance components builder
Industry
Automotive | Distribution and manufacturing
52-year-old automobile performance components expert.
The brand is a veteran in manufacturing performance-enhancing parts for sports automobiles, including cars, motorcycles, jet skis, snowmobiles and ATVs.
Challenges
The brand was looking to improve its operational efficiency.
To avoid out-of-stock scenarios, the brand wanted to stay proactive in maintaining stock levels.
The automobile brand wanted to devise marketing campaigns that convert better.
To improve customer experience, the brand wanted to achieve faster order fulfillment.
Solutions
Agentic AI solution
The brand was using an advanced analytics system that provided business metrics on a daily basis. However, retrieving information was challenging as the system required combing through multiple layers of filters and categories to locate the necessary data.
Ziffity suggested an Agentic AI solution that could deliver data through simple prompts. Integrating Ziffity’s ‘Ecommerce Business Assistant’ accelerated the process of information retrieval for operational and marketing teams.
Ziffity’s ‘Ecommerce Business Assistant’
Inventory -To catch up with changing inventory requirements, the brand wanted data on stock levels daily. Ziffity's Ecommerce Business Assistant delivers crucial inventory metrics, such as backorders, pre-orders, and low stock units, organizing them based on priorities.
With such data delivered in seconds through prompts, the stock-keeping staff were able to take immediate actions to align with customers' demands.
Orders -Ziffity's AI agent helped the brand get a bird's-eye view of order status to optimize picking, packing and shipping accordingly. Details such as average order value, order value, and total number of orders enabled the brand to monitor business progress.
Sales Trends -Ziffity’s AI agent equipped the brand with sales trends that analyze customer expectations in advance based on the previous year’s purchase patterns. With predictive analytics, the brand was able to align its product portfolio to cater to the spike in demand and also avoid losses due to overstocking.
With sales trends, the marketing team had information on which products to offer discounts for and personalize marketing messaging to achieve more conversions.
Customer Insights -Insights on new customers, repeat customers, customer lifetime value and more, helped the brand evaluate the effectiveness of its marketing campaigns, personalize messaging, and re-strategize to maximize conversions.
