Background
Miracle Auto Detailing has established itself as a trusted provider of premium car detailing and salon services across Indonesia. With multiple service centers and a rapidly growing customer base, Miracle Auto Detailing prides itself on delivering exceptional customer experiences. However, due to the large volume of consumables (e.g., cleaning chemicals, polishing materials, detailing tools) needed at each location, the company faced challenges in efficiently managing its inventory.
They needed an advanced solution to:
- Prevent stockouts that led to service delays and dissatisfied customers.
- Optimize stock levels to reduce excess inventory costs.
- Enhance visibility into supply chain data across multiple branches.
- Improve sales and commerce workflows through better forecasting of consumer demand.
Recognizing the need for a digital transformation partner with expertise in Cloud, Data, and AI, Miracle Auto Detailing turned to Agni Tech to design and implement a robust predictive inventory solution.


Challenges
Inconsistent Inventory Management
- Each detailing branch managed inventory based on manual estimates and varied demand patterns, leading to frequent miscalculations.
Lack of Real-Time Data
- Inventory data sat in siloed spreadsheets, with no unified real-time insight into consumption rates or demand spikes.
Inaccurate Demand Forecasting
- seasonal trends (e.g., holidays, rainy season) and localized events were not factored into replenishment decisions, causing service disruptions or overstock.
Inefficient Supply Chain Coordination
- Communication between vendors, warehouses, and individual branches was slow and prone to errors.
Impact on Customer Experience
- Service delays from missing key detailing supplies led to customer dissatisfaction and potential loss of repeat business.
Agni Tech’s Approach
Cloud & Data Infrastructure
Agni Tech began by migrating Miracle Auto Detailing’s inventory management system to a cloud-based platform, centralizing all branches’ data into a single, unified repository. This provided real-time visibility of product levels, consumption rates, and order statuses.
Predictive Analytics & AI
Using historical sales data, service records, and external factors (seasonal trends, local car events, weather forecasts), Agni Tech developed an AI-driven predictive model. This model forecasts future inventory requirements, alerting managers to replenish supplies before shortages occur—while also preventing overstocking.
Digital Engineering & Software Platform
Agni Tech designed a custom software platform that integrates seamlessly with existing point-of-sale (POS) and scheduling systems. The platform automates purchase orders, tracks shipments, and updates stock levels in real-time. A user-friendly dashboard allows branch managers and executives to monitor performance and make informed decisions swiftly.
Supply Chain Optimization
By analyzing consumption patterns, supply lead times, and transportation logistics, Agni Tech’s solution creates optimal order schedules for each detailing branch. This ensures balanced distribution of products across all locations, reducing last-minute urgent orders.
Sales & Commerce Alignment
With accurate demand forecasts, marketing teams can launch promotions or cross-sell/up-sell services knowing that inventory levels can handle increased demand. The Sales & Commerce teams benefit from fewer service cancellations and better customer satisfaction scores.
Results & Benefits
- 30% Reduction in Stockouts: AI-driven alerts and accurate demand forecasting ensured each branch had the right products at the right time.
- 25% Decrease in Excess Inventory Holding Costs: Automated restocking minimized over-ordering, cutting down on wasted or unused products.
- Real-Time Visibility: Stakeholders gained immediate insights into inventory levels, service patterns, and financial metrics across all branches.
- Improved Customer Satisfaction: With fewer delays and guaranteed availability of necessary detailing materials, customer loyalty and repeat bookings grew.
- Increased ROI: By reducing operational inefficiencies and preventing lost sales due to out-of-stock items, Miracle Auto Detailing saw a marked improvement in profitability.
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