Selected industries

Retail

Fuel
Industry

Fashion

Food & Horeca

Finance
& Banking

Telecommunication

Automotive

Beauty
& Healthcare

Airports
& Travel

Challenges:

Increased number of visitors
Difficulty in identifying customers
No connection between offline and online transactions
No omnichannel view of the customer path
Ineffective pricing and product range management
Problems with using the collected customer data
Poor real-time campaign execution

Solutions:

Recording and analysis of each transaction
Combining online and offline channels
Offer management to create campaigns and reward customers based on AI recommendations
Using data to build the best customer experience across preferred communication channels
Cross-sell and up-sell recommendations

Challenges:

Customers are moving their services to other operators
Lack of regular customer interaction
Strong need for personalization
Data integration with outdated and distributed tools
Poor real-time campaign execution
Investment in multi-channel communication platforms that combine AI with traditional service

Solutions:

Recording and analysis of each transaction
Alignment of sending time with customer life-cycle and segment membership
Ranking to identify the most engaged customers
Multichannel recommendations
Automatic planning of engaging loyalty offers based on customer preferences

Challenges:

Distributed tools to support individual activations
Ineffective online customer acquisition tactics
Problems with using the collected customer data
Highly competitive spare parts’ market
Poor mapping and understanding of customer journey
Identification of the vehicle owner and also the vehicle user
Management and selective exchange of data between dealers
Loyalty-building and keeping in touch

Solutions:

Recording and analysis of each transaction
Combining online and offline channels
Automatic detection of changes and trends
Real-time campaign execution
Personalized promotions and offers
Loyalty-building and keeping in touch

Challenges:

Make use of returning customers’ potential
Distributed tools to support individual activations
Problems with using the collected customer data
Anachronistic programs and ways to engage customers
High competitiveness and low margins
Growing activity of global players
Lack of standardized experience

Solutions:

Recording and analysis of each transaction
Digital loyalty solutions for smartphones
Personalized email, text message, push communications
Using gamification to engage customers
Automatic detection of changes and trends

Challenges:

Lack of motivator to increase basket value
High market diversity and fear of losing customers
Lack of differentiators that work for the brand
Increase in consumers' environmental awareness
Transfer of many transactions from offline to online
Lack of actions to improve customer experience

Solutions:

Recording and analysis of each transaction
Combining online and offline channels
Identifying customer preferences in brick-and-mortar stores
Real-time campaign execution
Visual recommendations of similar products

Challenges:

Increasing demands on service quality
Ineffective online customer acquisition tactics
Anachronistic programs and ways to engage customers
The rise of direct delivery
Low customer return rate

Solutions:

Recording and analysis of each transaction
Digital loyalty solutions for smartphones
Integrated campaigns between restaurants
Building an engaged community through targeted offers
Checking the level and type of engagement of individual customers

Challenges:

Lack of proper discount management
Transfer of many transactions from offline to online
Increase in consumers' environmental awareness
Identification of the transaction, not the customer
Distributed tools to support individual activations

Solutions:

Recording and analysis of each transaction
Combining online and offline channels
Cross-sell and up-sell recommendations
Personalized promotions
Offer management to create campaigns and reward customers based on AI recommendations

Challenges:

Difficult to identify occasional vs regular customers
Identification of the transaction, not the customer
Distributed tools to support individual activations
Low customer loyalty and transaction frequency
Difficulty in building cross-traffic
Increasing demands on service quality
Lack of standardized experience

Solutions:

Recording and analysis of each transaction
Facilitated customer retention procedure
Data segmentation including regular and occasional customers
Using gamification to engage customers
Integrated campaigns between restaurants
Activating customers beyond the purchase
Automatic detection of changes and trends

Challenges:

Digital transformation
Highly competitive market
Data integration with outdated and distributed tools
No omnichannel view of the customer path
Problems with using the collected customer data
Strengthening vigilance and preventing scams

Solutions:

Recording and analysis of each transaction
Alignment of sending time with customer life-cycle and segment membership
Customer service automation based on synchronized data
Multichannel recommendations
Detection of changes and trends, including customer abuse

Ready to cooperate?

If you are interested in our offer, have a brief for us or you want to know how we can support your business, write to us.

Contact

Address

ul. Franciszka Klimczaka 1
02-797 Warszawa
Entrance B
kontakt@loyaltypoint.pl

Data Protection Officer

Piotr Kruk

iod@loyaltypoint.pl
piotr.kruk@loyaltypoint.pl

Data Science House

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Name

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LOYALTY POINT is implementing a project with Contribution from European Funds. Learn more