Automotive

Elevating automotive aftermarket performance through proven expertise

Slimstock’s Slim4 platform ensures complete end-to-end data visibility, empowering spare part companies to optimise from a single source of truth.

+150m
parts planned every day
+170
automotive customers

TANGIBLE IMPROVEMENTS IN AVAILABILITY, INVENTORY PERFORMANCE AND SERVICE LEVELS ACROSS 170+ AUTOMOTIVE AFTERMARKET LEADERS

The trusted partner for the automotive sector

js automotive distributors - alliance automotive logo
bremstar logo
dunlop-tyres logo
indo traktor utama logo
man truck and bus logo
oscaro logo
pacaembu logo
PHE group - parts holding europe logo
subaru logo

Optimise your end-to-end aftermarket operation

Achieve the right balance between availability and cost, eliminating surplus inventory and lost sales with Slimstock.

  • Ensure constant availability: forecast demand with precision, improve supplier lead times, and optimise safety stock.
  • Optimise stock turn: Fine-tune inventory levels, improve responsiveness and drive higher margins across your entire product assortment.

Overcome today’s automotive supply chain challenges

Designed for the specific needs of the automotive sector, Slimstock empowers companies to lead in a fast-changing competitive landscape.

Demand Volatility

Challenge

Seasonal trends, vehicle aging, unplanned supplier disruptions, and the evolving industry create an unpredictable automotive supply landscape.  

Solution

Slim4 applies multiple forecasting techniques to identify drivers of change, test scenario impacts, and manage volatility across inventory and supply plans. 

Seasonal demand

Challenge

Products such as snow chains and windshield wipers demand specialised forecasting approaches that may conflict with existing inventory rules.

Solution

Slim4 uses historical insights and seasonal analysis to predict demand surges and optimise inventory and procurement planning.

Multi-level structures

Challenge

Large and multi-level logistic structures make it difficult to efficiently coordinate workflows, from source, to warehouses, to distribution centres and to the customer.

Solution

Global inventory visibility through Slim4 helps optimise supply chain efficiency, reduce storage and transport expenses, and maintain high availability.

Supplier reliability

Challenge

Managing a network of diverse suppliers with varying lead times and reliability levels makes it difficult to maintain consistent inventory levels.

Solution

Slim4 provides full visibility into supplier performance, highlighting deviations and reliability trends. This enables more informed negotiations and agile strategies to offset supplier risks and ensure supply chain stability.

Long tail management

Challenge

Effectively managing long tail products, often characterized by low demand, high variability, and multiple SKUs for the same underlying item, creates complexity in maintaining optimal inventory without inflating costs.

Solution

Slim4 offers precise long tail metrics, identifying deviations and demand patterns, including the challenge of managing multiple SKUs for the same item, to support smarter stocking strategies.

Reverse logistics and sustainability

Challenge

Reverse logistics for products containing harmful substances, like batteries and oils, present significant sustainability challenges, and have specific handling requirements.

Solution

Slim4 factors sustainability metrics into the handling process, using data to produce more efficient collection systems, more effective partner collaborations, and broader logistics optimisation.

Delivery issues

Challenge

Suppliers don’t always deliver the quantity and items that were ordered, and through manual, ERP, or legacy systems these can often go unnoticed.

Solution

Through seamless integration with existing ERP systems, Slim4 can manage open orders to automatically recognise and flag delivery issues proactively.

Slim4’s key features for automotive

Slimstock’s holistic platform provides powerful, industry-specific solutions to transform automotive supply chain planning and execution.

Demand forecasting and planning

Anticipate shifting customer demand. Leverage AI-powered predictive models to plan with precision.

Automatically simulate, optimise and apply dynamic service levels. Balance costs and guarantee availability as you ensure seamless align with your business strategy.

Intelligent automotive lifecycle management dynamically identifies each product phase and applies business-driven rules to minimise excess inventory and reduce obsolescence.

Calculate optimal order sizes considering not only forecasted demand but your specific, desired service level targets.

Slim4’s PO optimisation engine generates purchase orders based on forecast demand, real lead time and supplier constraints.

Optimise replenishment and supply processes across the logistics chain, based on completely synchronised, end-to-end data.

Your Automotive Industry playbook for 2025

Stay ahead with benchmark KPIs, trends and proven strategies for success

Download

Testimonials on automotive supply chain management software from industry leaders

See what our customers think

30%

reduction in inventory

10$

million AUD freed in working capital

84%

reduction in lost sales

"Freeing up cash flow from stock has allowed us to expand. For a business like ours, that's an enormous advantage"

Manish Narayanan

Director S&OP at Zeder

View case study

Find out how you
can

See Slim4 in action

From our customers to you


Game-changer for our Supply Chain performance.

Once we had decided on which Supply Chain planning software you implement, it was a relatively straightforward implementation. We had great support from the Slimstock implementation team throughout the whole process.

4.8


Slim4 has helped us centralize our purchasing, which has led to less time spent overall when it comes to purchasing.

At the same time we have increased our service levels to customers by several percentage points while keeping our stock levels low.

4.7


Slim4 was an easy tool to learn with an intuitive interface.

The team was quite hands-on in getting the implementation done as efficiently as possible and the results were quite evident from the get-go.

4.7

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