Automotive and Aftermarket

Horizon Inventory helps automotive and aftermarket inventory optimisation and inventory management needs. micq-if has been especially developed to address the kinds of issues that are experienced with multiple warehouses and large product ranges.

Automotive & Aftermarket

The aftermarket, irrespective of the industry (automotive, building, equipment) presents special challenges with often large numbers of slow moving parts and products. micq-if has been especially developed to address the kinds of issues that are experienced with multiple warehouses and large product ranges.  It can:

Optimise

Help you optimise your inventory levels by considering over twenty different factors. The comprehensive techniques translate to results which include far better control over inventory range and depth, in your retail outlets and state and national DCs.

Reduce

Help reduce emergency orders so that you can satisfy customers quickly without the productivity impacts and extra costs when your customer wants that one part that they desperately need to repair their equipment, but you just did not have because your systems did not match up your inventory, and set stock levels that reflect the quantities in which they are used.

Manage

Give you the ability to manage your inventory investment, in terms of service levels, profitability and return on assets as business conditions change.

Recent Case Studies
  • Australian Automotive Parts (AAP)
    Wednesday, April 27, 2022

    Australian Automotive Parts (AAP)

    Like many businesses, in the recent past Australian Automotive Parts (AAP) faced many challenges with their supply chain, inventory management, servic...

  • Auto Parts Group
    Wednesday, December 7, 2016

    Auto Parts Group

    Every installation has its own differences and particular challenges. The Auto Parts Group drew much from the standard inventory management solution ...

  • The Inenco Group
    Tuesday, May 19, 2015

    The Inenco Group

    This implementation is big. At its peak, the implementation was handling 980,000 items, although with some data cleaning this has since been reduced ...