Use-Case Retail
How to unify web shop and physical shop flows to work with reliable data?
CUSTOMERS EXPECTATIONS
Prompt targeting and segmentation simulations on the customer database very quickly, whatever the data processed, to meet the expectations of marketing teams.
“I don’t really trust the data in my customer base. I have too many duplicate customers, not to mention households. I would like to be sure of the quality of my customer base.”
“With processing times of more than 5 days on average for a request, meeting the expectations of the marketing team in a timely manner is difficult.”
FINAL CLIENT OBJECTIVE
Increase sales volumes through targeted marketing actions with reliable data as close as possible to customer expectations (store/web upsell, targeted promotions, efficient after-sales service, etc.) regardless of the data source, web or shop.
KEY FIGURES
million contacts recorded
customer contacts entered every day in shops and on websites
receipts and order forms issued daily in shops and on websites
shops
Ingesting the customer repository of 38 million contacts
Daily intake of 33,000 contacts and the 120,000 receipts captured in shops and on websites
Processing algorithms and artificial intelligence of the Data Quality Black Tiger natively embedded
Restitution of consolidated data, continuously updated in the unique customer repository
RELIABLE RESULTS FOR THE BUSINESS
from the customer base of 38 million contacts
million unique individuals identified
million unique households identified
CONSIDERABLY SHORTER PROCESSING TIMES
Initially 5 days processing time per request
Maximum query processing time for the entire database with the Black Tiger Platform
Fast processing times
Fast extractions for limitless simulations
A reliable customer base
To work on clean, reliable shop and web data to optimise marketing actions
Increase in sales
Increase in sales volume through better targeting of customers with continuous reliable data