Solutions

We designed pre-built Analytics & Machine Learning systems for organizations that want to advance their data-driven approach in the most cost-effective way possible.

Contact Us today and learn how to get started!

Pre-configured Analytics & Machine Learning systems​

Our pre-configured ML-Systems
enable you to seamlessly integrate Data Science in your operations to achieve measurable results.​
Structured and unstructured data
can be ingested from nearly any data source and prepared effectively to run AI-services.​
Every AI-service
is based on mathematical models, design variables and defined conditions.​
Insights and personalized recommendations
are distributed to its users and behavioral data flows back into the models.​

Solution Finder

Data Science can be very abstract. And for most companies and decision-makers, it is naturally hard to anticipate where data science, analytics or AI can add value.

Based on our experience from 100s of successful projects, we have assembled a simple Solution finder that helps you on your path to becoming a more data-driven effective organization. Our solution finder helps you identify areas where data science can help you improve your business organization.

Past Solutions

Data Science, Analytics, Machine Learning and AI have already transformed many industries and helped increase profitability and growth of companies.

The following list of past solutions shall serve as an initial inspiration for our clients. All projects are custom solutions tailored to your business needs.

We offer our experts – and ultimately you – to benefit from our experience via our large template solution repository to streamline the delivery of solutions and realize projects faster (and cheaper).

We are constantly developing new use cases together with our clients. So reach out in case you did not find a fitting solution.

Instead of browsing our list, you can also try our Solution finder.

Click on an industry to jump to its solutions

 

Banking and Investments

Including: commercial banking, consumer finance, asset management, investment banking, trading, exchanges, private equity, venture capital, etc.

SolutionImpactDescription
Credit risk assessmentDecrease of provisions for liabilities and charges through more precise risk assessmentBanks can predict the Probability of Default (PD) and Exposure at Default (EAD) more precisely by using Machine Learning models compared to traditional score cards. By modern techniques, explainability of such models is also possible to ensure auditability by regulators.
Call center routingCost reduction for call center operationsBanks can automatically route customers to the best service personnel available massively reducing costs in the call center and time by customer spent on service calls.
Process OptimizationCost reduction through faster business processesBanks can identify potential issues in their business processes through process mining. Using these insights, business processes can be optimized to save costs.
ChurnRevenue increase through extended customer relationshipsBanks can identify likely churners and identify offers that will convince them to stay.
Customer segmentationRevenue increase through improved customer relationshipsBanks can improve their customer understanding in order to adjust tactical and strategic decisions towards their customers' needs.
Branch segmentationRevenue increase through improved store locationsBanks gain transparency on their branches and different types of branches and which services customers use to derive a specific strategy for each location.
Personalized promotionsRevenues through upselling due to more relevant promotionsBanks can make offers to customers based on their needs. By understanding which promotions are meaningful for a specific customer, retailers can move away from mass communication to personalized interactions with their customers.
Branch footprintRevenue increase through improved store footprintBanks can find the ideal location for their next branch or decide which branches to close or merge.
AMLCost reduction through improved AML processesBanks can automatically identify cases of money laundering (shell companies, money mules, etc.) from their transaction data. These insights can be used to optimize the AML process and reduce manual investigations into potential cases of money laundering.

Consumer goods

SolutionImpactDescription
Predictive MaintenanceReduce costs from outagesCPGs can avoid long outage periods of expensive machinery by predicting failures and adjusting maintenance cycles accordingly.
Anomaly detectionReduce costs from production failuresCPGs can avoid production failures through monitoring the production process through sensor data. Anomalies will give an indication of potential problems in the production process.
CustomizationIncrease revenue by better matching customers' preferencesCPGs can customize the production process to specific products by analyzing process data and leveraging efficiencies.
Demand forecastingReduction of inventory costsCPGs can adjust production volume for each product to the actual demand by forecasting it and then adjusting the production planning accordingly.
Purchase order automationIncrease of revenue through a simplified ordering processCPGs can predict demand for supply and automate the ordering process to ensure a seamless production with just-in-time deliveries.
Quality assuranceReduce costs from production failuresCPGs can identify reasons for production failures by analyzing sensor data from the involved machines. They can identify which states of the machines were responsible for the production failures in order to take actions and avoid the errors.
Planning and schedulingCost reduction through better production planningCPGs can optimize their production planning by merging demand, supply and process information and establish a schedule that has short downtimes and highest output.
Energy efficiencyCost reduction of energy expensesCPGs can reduce energy usage by identifying process steps with high energy usage and adjusting the whole process to minimize energy costs (or to maximize overall profitability).
Shift planningCost reduction through better shift planningCPGs can optimize the schedule for shift workers based on availability, required skill levels, production planning etc.
Product optimizationIncrease of revenue through improved productsCPGs can adjust their products by gaining a better understanding of links between the production process, suppliers, product quality, and customer demand.
Supply chain optimizationCost reduction through reduced product complexity and improved supply chainCPGs can optimize supply, delivery routes, intermediate storage etc., to reduce logistics costs.
Stock optimizationCost reduction from reduced stockCPGs can minimize stock keeping for a given service level for their customers.
PricingMargin increase through optimized pricingCPGs agencies can optimize their pricing strategy by identifying willingness to pay by retailers. Also, CPGs can use competitive intelligence to adjust their prices in order to have a better position in negotiations with retailers.

Consumer durable goods and apparel

Including: cars and accessories, electronics, furniture, apparel, clothing, appliances, etc.

SolutionImpactDescription
Demand forecastingReduction of inventory costsCPGs can adjust production volume for each product to the actual demand by forecasting it and then adjusting the production planning accordingly.
Purchase order automationIncrease of revenue through simplified ordering processCPGs can predict demand for supply and automate the ordering process to ensure a seamless production with just-in-time deliveries. This will also reduce the costs of stock-keeping.
Quality assuranceReduction of costs from production failuresCPGs can identify reasons for production failures by analyzing sensor data from the involved machines. They can identify which states of the machines were responsible for the production failures in order to take actions to avoid the errors.
Predictive MaintenanceReduce costs from outagesCPGs can avoid long outage periods of expensive machinery by predicting failures and adjusting maintenance cycles accordingly.
Anomaly detectionReduction of costs from production failuresCPGs can avoid production failures through monitoring the production process through sensor data. Anomalies will give an indication of potential problems in the production process.
CustomizationIncrease revenue by better matching customers' preferencesCPGs can customize the production process to specific products by analyzing process data and leveraging efficiencies.
Planning and schedulingCost reduction through better production planningCPGs can optimize their production planning by merging demand, supply and process information and establish a schedule that has short downtimes and highest output.
Energy efficiencyCost reduction of energy expensesCPGs can reduce energy usage by identifying process steps with high energy usage and adjusting the whole process to minimize energy costs (or to maximize overall profitability).
Shift planningCost reduction through better shift planningCPGs can optimize the schedule for shift workers based on availability, required skill levels, production planning etc.
Product optimizationIncrease of revenue through improved productsCPGs can adjust their products by gaining a better understanding of links between the production process, suppliers, product quality, and customer demand.
Supply chain optimizationCost reduction through reduced product complexity and improved supply chainCPGs can optimize supply, delivery routes, intermediate storage etc. to reduce logistics costs.
Stock optimizationCost reduction from reduced stockCPGs can minimize stock keeping for a given service level for their customers.
PricingMargin increase through optimized pricingCPGs agencies can optimize their pricing strategy by identifying willingness to pay by retailers. Also, CPGs can use competitive intelligence to adjust their prices in order to have a better position in negotiations with retailers.

E-Commerce

Including: online retail clothing, drugs, special interest, etc.

SolutionImpactDescription
Promotion effectivenessCost reduction for promotionsE-commerce players gain transparency on the effectiveness of promotion activities (revenue, margin, website visits) to develop strategies for more impact-focused campaign management and discounts.
Customer segmentationRevenue increase through improved customer relationshipsE-commerce players gain transparency on their customers and different customer groups. They can make campaigns and offers more targeted and streamline the assortment towards customer needs.
Dynamic pricingMargin increase through optimized pricingE-commerce players can optimize their pricing strategy by identifying key value items, i.e. products for which price is exceptionally important. In addition, retailers can use competitive intelligence through web crawling to adjust their prices dynamically.
Personalized promotionsRevenue increase through upsellingE-commerce players can make customer offers to customers based on their needs. By understanding which promotions are meaningful for a specific customer, retailers can move away from mass communication to personalized interactions with their customers.
Assortment optimizationCost reduction through reduced product complexity and improved supply chain.E-commerce players can tailor their assortment towards customer needs de-listing products that are substitutable and reduce complexity of the entire supply chain.
Demand forecastingCost reduction for stocks and revenue increase through additional salesE-commerce players gain insights on customer demand for every product in advance and can plan logistics and sales accordingly
Stock optimizationReduction of inventory costsE-commerce players minimize stock keeping at a given service level for their customers.
Vendor negotiationsMargin improvement through better purchase pricesThrough a better understanding of products and assortment e-commerce players have an advantage over their suppliers in vendor negotiations.
Supply Chain OptimizationCost reduction in the supply chainE-commerce players can optimize delivery routes, intermediate storage etc., to reduce logistics costs.
Branch footprintRevenue increase through improved store locationsE-commerce players can find the ideal location for their next branch or decide which stores to close or merge.
Trend forecastingIncrease revenues through increased sales volumeE-commerce players can predict future customer trends to plan purchases and sales strategies ahead.
Fraud detectionReduce costs through reduced fraudE-commerce players can detect fraudulent activity from users and reduce susceptibility to fraud.

Agriculture and farming

SolutionImpactDescription
Yield optimizationIncrease of revenue through additional yieldAgriculture companies can identify drivers for high yield in very complex production or farming processes. They can find the optimal set of control levers for reaching the highest output of the production process.
Planning and schedulingCost reduction through better production planningAgriculture companies can optimize their production planning by merging demand, supply and process information and establish a schedule that has short downtimes and high output.
Energy efficiencyCost reduction of energy expensesAgriculture companies can reduce energy usage by identifying process steps with high energy usage and adjusting the whole process to minimize energy costs (or to maximize overall profitability).
Predictive MaintenanceReduce costs from outagesAgriculture companies can avoid long outage periods of expensive machinery by predicting failures and adjusting maintenance cycles accordingly.
Anomaly detectionReduce costs from production failuresAgriculture companies can avoid production failures through monitoring the production process through sensor data. Anomalies will give an indication of potential problems in the production process.
Demand forecastingReduction of inventory costsAgriculture companies can adjust production volume for their product to the actual demand by forecasting it and then adjusting the production planning accordingly.
Purchase order automationIncrease of revenue through simplified ordering processAgriculture companies can predict demand for supply and automate the ordering process to ensure a seamless production with just-in-time deliveries. This will also reduce costs of stock keeping.
Quality assuranceReduction of costs from production failuresAgriculture companies can identify reasons for production failures by analyzing sensor data from the involved machines. They can identify which states of the machines were responsible for the production failures in order to take actions and avoid the errors.
Shift planningCost reduction through better shift planningAgriculture companies can optimize the schedule for shift workers based on Agriculture companies, required skill levels, production planning etc.
Supply chain optimizationCost reduction through reduced product complexity and improved supply chainAgriculture companies can optimize supply, delivery routes, intermediate storage etc. to reduce logistics costs
Stock optimizationCost reduction from reduced stockAgriculture companies can minimize stock keeping for seeds, fertilizer and harvest
Crop diseases and pestsMinimize costs through crop diseases and pestsAgricultural pests can quickly cut into a farmer's profits. But, misusing pesticides can have adverse effects on people, plants and other living things. But agriculture companies can develop user-facing platforms that analyze when to apply pesticides and how much to use.
Yield predictionReduced costs through better planningSatellite-based crop monitoring to inspect areas can help agriculture companies to get prompt updates and alerts about potential problems.

Industrials

Including: buildings, electronics, aerospace, machinery, etc.

SolutionImpactDescription
Shift planningCost reduction through better shift planningIndustrials can optimize the schedule for shift workers based on availability, required skill levels, production planning etc.
Product optimizationIncrease of revenue through improved productsIndustrials can adjust their products by gaining a better understanding of links between the production process, suppliers, product quality, and customer demand.
Supply chain optimizationCost reduction through reduced product complexity and improved supply chainIndustrials can optimize supply, delivery routes, intermediate storage etc. to reduce logistics costs.
Predictive MaintenanceReduce costs from outagesIndustrials can avoid long outage periods of expensive machinery by predicting failures and adjusting maintenance cycles accordingly.
Anomaly detectionReduce costs from production failuresIndustrials can avoid production failures through monitoring the production process through sensor data. Anomalies will give an indication of potential problems in the production process.
CustomizationIncrease revenue by better matching customers' preferencesIndustrials can customize the production process to specific products by analyzing process data and leveraging efficiencies
Demand forecastingReduction of inventory costsIndustrials can adjust production volume for each product to the actual demand by forecasting it and then adjusting the production planning accordingly.
Purchase order automationIncrease of revenue through simplified ordering processIndustrials can predict demand for supply and automate the ordering process to ensure a seamless production with just-in-time deliveries. This will also reduce costs of stock keeping.
Quality assuranceReduction of costs from production failuresIndustrials can identify reasons for production failures by analyzing sensor data from the involved machines. They can identify which states of the machines were responsible for the production failures in order to take actions and avoid the errors.
Planning and schedulingCost reduction through better production planningIndustrials can optimize their production planning by merging demand, supply and process information and establish a schedule that has short downtimes and highest output.
Energy efficiencyCost reduction of energy expensesIndustrials can reduce energy usage by identifying process steps with high energy usage and adjusting the whole process to minimize energy costs (or to maximize overall profitability).
Stock optimizationCost reduction from reduced stockIndustrials can minimize stock keeping for a given service level for their customers

Materials production and processing

Including: chemicals, construction, packaging, metals, paper, etc.

SolutionImpactDescription
Predictive MaintenanceReduce costs from outagesManufacturers can avoid long outage periods of expensive machinery by predicting failures and adjusting maintenance cycles accordingly.
Yield optimizationIncrease of revenue through additional yieldManufacturers can identify drivers for high yield in highly complex production processes. They can find the optimal set of control levers for reaching the highest output of the production process.
Supply chain optimizationCost reduction through reduced product complexity and improved supply chainManufacturers can optimize supply, delivery routes, intermediate storage etc. to reduce logistics costs.
Anomaly detectionReduce costs from production failuresManufacturers can avoid production failures through monitoring the production process through sensor data. Anomalies will give an indication of potential problems in the production process.
CustomizationIncrease revenue by better matching customers' preferencesManufacturers can customize the production process to specific products by analyzing process data and leveraging efficiencies.
Demand forecastingReduction of inventory costsManufacturers can adjust production volume for each product to the actual demand by forecasting it and then adjusting production planning accordingly.
Purchase order automationIncrease of revenue through simplified ordering processManufacturers can predict demand for supply and automate the ordering process to ensure a seamless production with just-in-time deliveries. This will also reduce stock-keeping costs.
Quality assuranceReduction of costs from production failuresManufacturers can identify reasons for production failures by analyzing sensor data from the involved machines. They can identify which states of the machines were responsible for the production failures in order to take actions and avoid the errors.
Planning and schedulingCost reduction through better production planningManufacturers can optimize their production planning by merging demand, supply and process information and establish a schedule that has short downtimes and high output.
Energy efficiencyCost reduction of energy expensesManufacturers can reduce energy usage by identifying process steps with high energy usage and adjusting the whole process to minimize energy costs (or to maximize overall profitability).
Shift planningCost reduction through better shift planningManufacturers can optimize the schedule for shift workers based on availability, required skill levels, production planning etc.
Product optimizationincrease of revenue through improved productsManufacturers can adjust their products by gaining a better understanding of links between the production process, suppliers, product quality, and customer demand.
Stock optimizationCost reduction from reduced stockManufacturers can minimize stock keeping for a given service level for their customers.

Retail and distributors

Including: stationery, food, clothing, drugs, hypermarkets, special interest, etc.

SolutionImpactDescription
Promotion effectivenessCost reduction for promotionsRetailers gain transparency on the effectiveness of promotion activities (revenue, margin, store visits) in order to develop strategies for more impact-focused campaign management and discounts.
Assortment optimizationCost reduction through reduced product complexity and improved supply chainRetailers can tailor their assortment towards customer needs by de-listing products that are substitutable and therefore reduce complexity in the entire supply chain.
Vendor negotiationsMargin improvement through better purchase pricesThrough a better understanding of products and assortment, retailers have an advantage over CPGs in vendor negotiations.
Customer segmentationRevenue increase through improved customer relationshipsRetailers gain transparency on their customers and various customer groups. They can make campaigns and offers more targeted, and streamline the assortment towards customer's needs.
Store segmentationRevenue increase through improved store footprintRetailers gain transparency on their stores and different types of stores which helps them to derive a specific strategy for each sales location.
PricingMargin increase through optimized pricingRetailers can optimize their pricing strategy by identifying Key Value Indicators, i.e. products for which price is exceptionally important. Also, retailers can use competitive intelligence to adjust their prices and leverage local and temporal information to make prices dynamic.
Personalized promotionsRevenue increase through upsellingRetailers can make customer offers to customers based on their needs. By understanding which promotions are meaningful for a specific customer, retailers can move away from mass communication to personalized interactions with their customers.
Demand forecastingCost reduction for stocks and revenue increase through additional salesRetailers gain knowledge of customer demand for every product in advance and can plan logistics and sales accordingly.
Stock optimizationReduction of inventory costsRetailers minimize stock keeping at a given service level for their customers.
Supply Chain OptimizationCost reduction in the supply chainRetailers can optimize delivery routes, intermediate storage etc. to reduce logistics costs.
Branch footprintRevenue increase through improved store locationsRetailers can find the ideal location for their next branch or decide which stores to close/merge.
Trend forecastingIncrease revenues through increased sales volumeRetailers can predict future customer trends to plan purchases and sales strategies ahead.
Fraud detectionReduce costs through reduced fraud Retailers can detect and avoid fraud through own staff or customers.

Telecommunication and internet provider

Including: carriers, reseller, mobile, internet, multi-asset, etc.

SolutionImpactDescription
Branch footprintRevenue increase through improved store footprintTelcos can find the ideal location for their next branch or decide which stores to close or merge.
Store segmentationRevenue increase through improved store locationsTelcos gain transparency on their stores and different types of stores which helps them to derive a specific strategy for each sales location.
Call center routingCost reduction for call center operationsTelcos can automatically route customers to the best service personnel available significantly reducing costs in the call center and time by customer spent on service calls.
Predictive Issue identificationCost reduction through faster issue identification processTelcos can identify potential issues in the network or at customers access points in order to avoid long problem identification processes with service personnel.
Predictive MaintenanceCost reduction through reduced number of outages and customer callsTelcos can avoid outage periods at their customers by predicting failures and sending out service staff accordingly.
ChurnRevenue increase through extended customer relationshipsTelcos can identify likely churners and identify offers that will convince them to stay.
Customer segmentationRevenue increase through improved customer relationshipsTelcos can improve their customer understanding in order to adjust tactical and strategic decisions towards their customers' needs.
PricingMargin increase through optimized pricingTelcos can optimize their pricing strategy by identifying willingness to pay. Also, telcos can use competitive intelligence to adjust their prices and leverage local and temporal information to make prices dynamic.
Personalized promotionsRevenues through upselling due to more relevant promotionsTelcos can make offers to customers based on their needs. By understanding which promotions are meaningful for a specific customer, retailers can move away from mass communication to personalized interactions with their customers.
Fraud detectionCost reduction from reduced fraudTelcos can detect and avoid fraud through customers.
Network footprint optimizationReduced costs through limiting investmentsTelcos can find the ideal location for their next cell towers.

Travel, leisure, hospitality and tourism

Including: restaurants, casinos, cruises, resorts, etc.

SolutionImpactDescription
Hotel segmentationRevenue increase through improved recommendationsTravel agencies gain transparency on their hotels and different types of hotels which helps them to derive a specific strategy for each hotel type.
Personalized promotionsRevenues through upselling resulting from more relevant promotionsTravel agencies can make customer offers to customers based on their needs. By understanding which promotions are meaningful for a specific customer, retailers can move away from mass communication to personalized interactions with their customers.
Recommendation website analysisRevenue increase through better targeted offersTravel agencies can analyze travel recommendation websites to better understand customer preferences per travel destination and build tailored offers based on that.
Call center routingCost reduction for call center operationsTravel agencies can automatically route customers to the best service personnel available massively reducing costs in the call center and time by customer spent on service calls.
Customer segmentationRevenue increase through improved customer relationshipsTravel agencies get transparency on their stores and different types of stores which helps them to derive a specific strategy for each sales location.
PricingMargin increase through optimized pricingTravel agencies can optimize their pricing strategy by identifying willingness to pay. Also, travel agencies can use competitive intelligence to adjust their prices and leverage local and temporal information to make prices dynamic.
Fraud detectionCost reduction from reduced fraudTravel agencies can detect and avoid fraud through customers.

Utilities

Including: energy, gas, water, etc.

SolutionImpactDescription
Call center routingCost reduction for call center operationsUtilities can automatically route customers to the best service personnel available significantly reducing costs in the call center and time by customer spent on service calls.
Predictive Issue identificationCost reduction through faster identification of failuresUtilities can identify potential issues in their power plants and grid in order to avoid long troubleshooting processes with service personnel.
ChurnRevenue increase through extended customer relationshipsUtilities can identify likely churners and identify offers that will convince them to stay.
Predictive MaintenanceCost reduction for through reduced number of outagesUtilities can avoid outage periods of machinery in their power plants predicting failures and adjusting maintenance cycles accordingly.
Customer segmentationRevenue increase through improved customer relationshipsUtilities can improve their customer understanding in order to adjust tactical and strategic decisions towards their customers' needs.
PricingMargin increase through optimized pricingUtilities can optimize their pricing strategy by identifying willingness to pay. Also, utilities can use competitive intelligence to adjust their prices and leverage local and temporal information to make prices dynamic.
Personalized promotionsRevenues through upselling due to more relevant promotionsUtilities can make customer offers to customers based on their needs. By understanding which promotions are meaningful for a specific customer, retailers can move away from mass communication to personalized interactions with their customers.
Lead generationRevenue increase through additional customersUtilities can identify high-value leads to target by leveraging public and buyable information (e.g. demographics, potential customers moving, etc.)
Fraud detectionCost reduction from reduced fraudUtilities can detect and avoid fraud through customers or customers unable to pay their utility bills.
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