THE
SOLUTION
Datasembly collects:
More than 2 billion product, pricing, and promotions observations daily from every store—brick-and-mortar AND online.
Data comes from public sources, making it 100% shareable internally AND externally
But stockouts—and the problems they cause CPGs— can be averted with shareable OOS data, such as
data available from Datasembly.
+
Product availability information at key retailers like
Walmart, Target, and Kroger
CPGs can use the data to:
Deliver an execution plan to your distribution partners to ensure your products are in-stock, using our same day collection/delivery data capabilities
Talk with your distribution partners about the OOS to see if they can make changes to route or increase frequency
Analyze stock levels by state, metro area, or other geographic groupings of stores experiencing out of stock issues across categories and brands to determine if there is a distribution issue and take immediate action
Expand store facings on top categories and products at key retailers. Use out of stock frequency to prioritize the products with the highest volume
Learn more
SHAREABLE DATA:
SHAREABLE DATA:
THE KEY TO MINIMIZING STOCKOUTS
Out-of-stock (OOS) situations can have a negative impact on CPGs, including diminished customer loyalty and significant loss of profits.
However, accessing and leveraging shareable OOS data enables CPGs to harness proactive planning and strategies that decrease the incidence and effect of stockouts, in turn bolstering the bottom line.
find out more
THE OOS PROBLEM
Stockouts are more widespread than you may think…
VOLUME OF SKUs OOS IN GROCERY STORES (AVERAGE)
1
2
Fast-selling and promotional products:
“Regular” sellers:
8.3%
10%
…and can have severe consequences for CPGs as well as for retailers.
Consumers clearly aren’t willing to just accept OOS
In fact, the more times consumers encounter an OOS situation, the greater their likelihood to substitute a different brand.
Lack of product availability
Loss of revenue
Customer swaps out CPG’s brand for competitor’s brand
CPG sacrifices sale
Customer postpones or decides against purchase
More revenue loss
1 Grocery Manufacturers Association/Food Marketing Institute
2 ECR Europe/Roland Berger Strategy Consultants
37% buy a different brand
21% buy the same brand elsewhere
16% buy another item of the same brand
17% return their purchase later
31% 50% 70%
9% buy nothing
70%
make a substitution
the third time they experience a stockout
50%
make a substitution
the second time they experience a stockout
31%
make a substitution
the first time they experience a stockout
THE
PROOF
Applying shareable data, Datasembly revealed that over any given month:
CPG: Major beverage manufacturer
Product: 12-pack bottle soft drink (SKU X)
Retailer: National retail chain
Item sold at: Approximately 3,500 stores nationwide
Mean price: $5.57/12-pack
Total unique UPCs from CPG sold in retailer’s stores: 137
Contact Datasembly at info@datasembly.com
for more information and to schedule your demo today or visit www.datasembly.com
It’s crystal clear: OOS situations impact your bottom line—and Datasembly has the real-time, hyper-local, shareable data to save you time and improve your margins.
UPCs OOS:
(10.2%) on average at 1,000 or more stores
14 of the 137 UPCs
Percentage of stores where 14 UPCs
are OOS:
Number of stores OOS on SKU X:
Approximately 1,600
(about 61%)
21%
Lack of product availability
Loss of revenue
Customer swaps out CPG’s brand for competitor’s brand
CPG sacrifices sale
Customer postpones or decides against purchase
More revenue loss
3
2
1