On-Shelf Availability 

On-shelf availability is a crucial, but often-imprecise metric in retail data. OSA+ from Atlas saves you time through the reduction of your store/item tasks by 50% or more, and provides automated monitoring.

Problem: Regardless of whether you sell paper towels, water, cat litter or frozen pizza, Consumer Goods Manufacturers are all trying to place their product on the shelf at the right time, in the right stores for shoppers to purchase. If a product is not selling, it may be experiencing stock-outs or phantom inventory. Regardless of the state, the shelf needs attention as brands only get a split second to make an impression, so they invest in that perfect shelf through retail service teams to ensure their products are available in store and on shelf, at all times.

As the global market continues to see increasing labor costs, the challenge resides in maximizing the return on investment for store reps to execute this field of play. Luckily, as labor costs are rising, so is the amount of data available to manufacturers and brokers. However, this data that is easily accessible is not granular enough to know what is broken, what needs to be fixed and which route will provide the biggest impact.


Solution:
Atlas’ OSA+ empowers retail service teams to execute with confidence and gives CPG companies the ability to better utilize their shelf space and store reps towards maximum daily sales records. OSA+ connects store-level POS data to out-of-stock questions, generates actionable alerts that are then sent to field teams to follow up on.

Key Features

OSA+ Overview

  • Analyzes store-level data for every item, every day
  • Alerts generated: Zero Sales & Phantom Inventory
  • Integrates with most field team systems
  • Centralized management
  • Highly configurable
  • Advanced algorithms allow for dynamic insights

Zero Sales Alerts

Items are constantly being compared against the item’s historical performance and sister stores expected velocity.

  • Every item is analyzed on a per store/per day time frame
  • Alert is generated when an item has stopped selling for an unexpected period of time
  • Consideration is taken for other factors, such as:
    • Historical field responses
    • Available inventory data

Phantom Inventory Alerts

The system continuously monitors the relationship between sales and inventory quantities.

  • Alert is generated when an item repeatedly stops selling and a minimum inventory quantity is in the store
  • Dynamic based on the sales patterns for a specific store/item combination
  • Every item is analyzed on a per store/per day time frame

“They deliver the fastest, most insightful analytics than any other provider. Plus, they are always ready for our special requests and
last minute changes.”

– Vice President of Sales