Inventory Accuracy in Retail
Application Track:
Code:
Domain:
Proposed by:
Entity Logo:
Summary of the entity:
The company aims to be always the first choice of customers by providing a unique convenience and trustworthy shopping experience through its ultimate service approach, pioneer applications, broad product portfolio and family budget friendly pricing strategy.
Summary of the challenge:
Description of the global challenge:
Sub-challenges composing this experiment:
This challenge is composed of 2 sub-challenges:
- Estimating Inventory Inaccuracies (REACH-2021-READYMADE-MIGROS_2.1)
- Estimating inventory shrinkages (REACH-2021-READYMADE-MIGROS_2.2)
Expected global results:
Data driven approaches to inventory with a specific focus on shrinkage and inventory accuracy.
Estimating inventory inaccuricies
Code:
REACH-2021-READYMADE-MIGROS_2.1
Summary of the sub-challenge:
In this challenge startups need to estimate the products that should be audited by the stores given the sales and inventory movements.
Description of the challenge:
In this part we will share data related to sales and inventory movements of items (SKU, stock keeping units). Startups have to estimate the inventory inaccuracies of the items and come up with audit plans for the stores where product inventories are counted and checked regularly. This helps reduce the inventory inaccuracies and help deliver a better service to the customers by reducing the shipment errors and stock out risks.
Data to be used:
Expected outcomes:
An individual audit plan for each store.
Estimating inventory shrinkages
Code:
REACH-2021-READYMADE-MIGROS_2.2
Summary of the sub-challenge:
In this challenge startups need to estimate the shrinkage of the items in the stores, that may be due to damage, theft, products past their expiry dates and so on.
Description of the challenge:
In this part we will share data related to sales and inventory movements of items (SKU, stock keeping units). Startups have to estimate the inventory inaccuracies of the items due to shrinkage and come up with patterns in the shrinkage. This helps reduce the inventory inaccuracies and help deliver a better service to the customers by reducing the shipment errors and stock out risks. In addition to that it can result in new effort for loss prevention in specific items or product categories.
Data to be used:
Expected outcomes:
Shrinkage estimation and patterns related to the shrinkage.
How do we apply?
Read the Guidelines for Applicants
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