LYUKOS AI improves retail processes
in various ways
in various ways
- Demand prediction
- Personalised offers
- Churn management
- Price & marketing campaign optimisation
LYUKOS.Churn prediction system
DEMAND PREDICTION
Forecasting the demand for goods will allow you
to develop a more accurate procurement plan.
Knowing the demand for goods allows you
to manage warehouse stocks so that, on the one
hand, to minimize the volume of illiquid items,
and on the other, to satisfy all existing demand.
Availability of products increases customer loyalty
and brand confidence, which increases further
sales
Machine learning methods allow to predict demand
depending on the season, competitors' actions,
weather, prices and other factors
to develop a more accurate procurement plan.
Knowing the demand for goods allows you
to manage warehouse stocks so that, on the one
hand, to minimize the volume of illiquid items,
and on the other, to satisfy all existing demand.
Availability of products increases customer loyalty
and brand confidence, which increases further
sales
Machine learning methods allow to predict demand
depending on the season, competitors' actions,
weather, prices and other factors
CHURN MANAGEMENT
According to Forbes, a 5% decrease in churn
increases profits by 25%. And attracting a new
client costs 5 -7 times more than keeping the
current one.
Machine learning methods can identify customers
whose risk of churn is higher. This knowledge
increases the effectiveness of marketing activities
and promotions, while reducing their cost.
increases profits by 25%. And attracting a new
client costs 5 -7 times more than keeping the
current one.
Machine learning methods can identify customers
whose risk of churn is higher. This knowledge
increases the effectiveness of marketing activities
and promotions, while reducing their cost.
PRICE & MARKETING CAMPAIGN OPTIMISATION
Al-based automatic pricing recommendations will
allow you to take into account many times more
factors for optimal pricing in terms of profit.
It will also be possible to more accurately predict
the volume of sales at the selected prices. Thus, the
pricing will be faster and the profit will be higher.
allow you to take into account many times more
factors for optimal pricing in terms of profit.
It will also be possible to more accurately predict
the volume of sales at the selected prices. Thus, the
pricing will be faster and the profit will be higher.
PERSONALISED OFFERS
For automated ultra-personalized offers, we use the
customer's purchase history, taking into account
seasonal factors. As well as purchase patterns
of other customers who bought similar products.
customer's purchase history, taking into account
seasonal factors. As well as purchase patterns
of other customers who bought similar products.
WORKFLOW
1
Sign NDA
2
Getting data from database
3
Visualize the data for better understanding
4
Transform data
5
Uploading data to ML model
6
Verification of result
7
Visualizing the results
SAFE
To build models, we do not need any personal data.
We work with impersonal client IDs and their
behavioral parameters such as shopping frequency
and list.
This is enough to make a accurate prediction.
We work with impersonal client IDs and their
behavioral parameters such as shopping frequency
and list.
This is enough to make a accurate prediction.
Contact us:
info@lyukosgroup.com
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