BIRetail empowers retailers to make quicker and informed decisions, through inferences of their own data.
Highest Selling Brands / Categories / Sub-categories.
Festival and “Special Day” likeliness.
Categorization based on Customer's Age, Gender, Income, Lifespan, etc.
Overall, which items tend to sell well together.
For this customer, what is the Product Mix preference.
Which Brands / Categories does this customer buy.
How susceptible is the customer to Promotions.
What are the average repeat cycles of this customer, per product.
What is the typical ABV and ABS of this customer.
Customer Search History.
Effective Recommendations induces the customer to add more items to her bill thus
increasing Sales Revenue.
As a consequence, Store Metrics like Average Bill Value and Average Basket Size inch upwards.
Recommendations, when relevantly personalized, make the customer feel special,
recognized and cared for.
This leads to higher stickiness and customer loyalty.
Discounted merchandise is always a bait to cross-sell. Bringing up Promotion items in the Recommendation is a sure-shot method to achieve liquidation objectives of a campaign.