• Robotic Process Automation (RPA):

• Inventory & Supply Chain Optimization:
  Leverage machine learning to take your inventory & supply chain optimization to the next level. See the possible scenarios in different customer demands. Reduce your stock, keeping spending, and maximize your inventory turnover ratios. Increase your impact factor in the value chain. Increased your connected systems by centralizing the whole manufacturing process. Lower your exposures to human errors. 
  
  
• Manufacturing Analytics:
  Also called industrial analytics systems, these systems allow you to analyze your manufacturing process from production to logistics to save time, reduce cost, and increase efciency. Keep your industry effectiveness at optimal levels. 
  
  
• Predictive Maintenance:
  Predictively maintain your robots and other machinery to minimize disruptions to operations. Implement big data analytics to estimate the factors that are likely to impact your future cash flow. Optimize PP&E (property, plant and equipment) spending by gaining insight regarding the possible associated factors.
  
  
• Process Mining:
  Leverage AI algorithms to mine your processes and understand your actual processes in detail. Process mining can provide fastest time to insights about your as-is processes.
  
  
• Collaborative Robot:
  Cobots provide a flexible method for automation. Cobots are flexible robots that learn by mimicking human workers’ behavior. Smart engineering systems for solutions still requiring human oversight. 
  
  
• Cashierless Checkout:
  Self-checkout systems have many names. They are called cashier less, cashier-free, or automated checkout systems. They allow retail companies to serve customers in their physical stores without the need for cashiers. Technologies that allowed users to scan and pay for their products have been used for almost a decade now, and those systems did not require great advances in AI.

• Analytics & Predictive Intelligence for Security:
  In 2014, Kaspersky Lab said it had detected 325,000 new malware les every day. Analyze data feeds about the broad cyber activity as well as behavioral data inside an organization’s network to come up with actionable insights to help analysts predict and thwart impending attacks. Integrate external data sources the watch out for global cyber threats and act timely. 
  
  
• Image Recognition Library/ SDK/ API:
  Leverage image recognition libraries/SDKs/APIs to quickly and cost-effectively build your custom image processing systems or to add image processing capabilities to your existing systems. 
  
  
• Secure Communications:
  Protect employee communications like emails or phone conversations with advanced multilayered cryptography & ephemerality. Keep your industry secrets safe from corporate espionage. 
  
  
• Deception Security:
  Deploy decoy-assets in a network as bait for attackers to identify, track, and disrupt security threats such as advanced automated malware attacks before they inflict damage. Keep your data and traffic safe by keeping them engaged in decoys. Enhance your cybersecurity capabilities against various forms of cyber attacks.
  
  
• Smart Security Systems:
  AI-powered autonomous security systems. Functioning 24/7 for achieving maximum protection. Computer vision for detecting even the tiniest anomalies in your environment. Automate emergency response procedures by instant notification capabilities. 
  
  
• Autonomous Cybersecurity Systems:
  Utilize learning systems to efciently and instantaneously respond to security threats, often augmenting the work of security analysts. Lower your risk of human errors by providing greater autonomy for your cybersecurity. AI-backed systems can check compliance with standards.

• Hiring:
  Hiring is a prediction game: Which candidate, starting at a specific position, will contribute more to the company? Machine’s better data processing capabilities augment HR employees in various parts of hiring such as finding qualified candidates, interviewing them with bots to understand their fit or unfit. 
  
  
• Performance Management:
  Manage your employees’ performance effectively and fairly without hurting their motivation. Follow their KPI’s on your dashboard and provide real-time feedback. This would increase employee satisfaction and lower your organization’s employee turnover. Actualize your employee’s maximum professional potential with the right tools.
  
  
• HR Retention Management:
  Predict which employees are likely to churn and improve their job satisfaction to retain them. Detect the underlying reasons for their motive for seeking new opportunities. By keeping them at your organization, lower your human capital loss. 
  
  
• Digital Assistant:
  Digital assistants are mature enough to replace real assistants in email communication. Include them in your emails to schedule meetings. They have already scheduled hundreds of thousands of meetings. Use the power of articial intelligence in your day to day activities. Your own on-demand powerful AI-backed assistant is helping you 24/7. 
  
  
• HR Analytics:
  HR analytics services are like the voice of employee analysis. See your people analytics and make better people decisions. Gain actionable insights and impactful suggestions for higher employee satisfaction. 
  
  
• Employee Monitoring:
  Monitor your employees for better productivity measurement. Provide objective metrics to see how well they function. Forecast their overall performance with the availability of massive amounts of data. 

• Data Management & Monitoring:

• Data Integration:

• Data Labeling:

• Data Transformation:

SALES PIPELINE

• Salgsprognoser:
  AI giver mulighed for automatiske og præcise salgsprognoser baseret på alle kundekontakter og tidligere salgsresultater. Automatisk og nøjagtig salgsprognose baseret på alle kundekontakter og tidligere salgsresultater. Giv dit salgspersonale mere tid til salg, samtidig med at du øger prognosens nøjagtighed.
  
  
• Automatisering af indtastning af salgsdata:
  Data fra forskellige kilder kopieres ubesværet og intelligent ind i dit CRM. Synkroniser automatisk kalender, adressebog, e-mails, telefonopkald og beskeder fra din salgsstyrke til dit CRM-system. Nyd bedre salgssynlighed og analyser, mens du giver dine sælgere mere tid til salg.
  
  
• Prædiktiv salg/lead scoring:
  Brug kunstig intelligens til at muliggøre forudsigende salg. Score leads for at prioritere salgsrepræsentanternes handlinger baseret på lead-scoringer og kontaktfaktorer. Salgsprognoser automatiseres med øget nøjagtighed takket være systemernes granulære adgang til lead-scoringer og sælgernes præstationer. Til scoring af leads udnytter disse systemer anonymiserede transaktionsdata fra deres kunder, salgsdata for denne specifikke kunde. Til vurdering af kontaktfaktorer udnytter disse systemer anonymiserede data og analyserer alle kundekontakter som f.eks. e-mail og opkald.
  
  
• Salgsrepræsentant Chat/ Email Bot:
  Chatbots er ideelle til at besvare de første spørgsmål fra kunderne. Hvis chatbotten beslutter, at den ikke kan betjene kunden tilstrækkeligt, kan den sende kunderne videre til menneskelige agenter. Lad 24/7 fungerende, intelligente, selvforbedrende bots håndtere de første kontakter til kundeemner. Høj værdi, lydhøre leads vil blive ringet op af levende agenter, hvilket øger salgseffektiviteten.
  
  
• Forslag til svar fra sælgere:
  AI vil foreslå svar under live-samtaler eller skriftlige beskeder med kundeemner. Bots lytter med i agenternes opkald og foreslår svar på bedste praksis for at forbedre salgseffektiviteten.
  
  
• Personalisering og analyse af salgsindhold:
  Præferencer og browsing-adfærd hos højt prioriterede kundeemner analyseres for at matche dem med det rigtige indhold, der har til formål at besvare deres vigtigste spørgsmål. Personaliser dit salgsindhold og analysér dets effektivitet, hvilket giver mulighed for løbende forbedringer.
  
  
• Bot. for detailsalg:
  Brug bots på dit butiksgulv til at besvare kundernes spørgsmål og promovere produkter. Kontakt den rigtige kunde ved at analysere prole. Computer vision hjælper dig med at give den rigtige handling afhængigt af kundens karakteristika og mimik.

SALGSANALYSER

Som Gartner diskuterer, tilbyder salgsanalysesystemer funktionalitet, der understøtter opdagelses-, diagnosticerings- og forudsigelsesøvelser, der gør det muligt at manipulere parametre, mål, dimensioner eller tal som en del af en analyse- eller planlægningsøvelse. AI-algoritmer kan automatisere dataindsamlingsprocessen og præsentere løsninger til forbedring af salgsresultater.

• Kunde Salg Kontakt Analytics:
  Analyser alle kundekontakter, herunder telefonopkald og e-mails, for at forstå, hvilken adfærd og hvilke handlinger der driver salget. Avanceret analyse af alle data fra salgssamtaler for at afdække indsigter, der kan øge salgseffektiviteten.
  
  
• Salgstilskrivning:
  Udnyt big data til at henføre salg til marketing- og salgsindsatser præcist. Se, hvilket trin i din salgstragt der giver de bedste resultater. Udpeg den del, der yder dårligst, ved hjælp af den indsigt, som analysen giver dig.
  
  
• Analyse af salgssamtaler:
  Avanceret analyse af opkaldsdata for at afdække indsigt, der øger salgseffektiviteten. Se, hvor godt din samtale ow præsterer. Ved at integrere data om opkald kan du identificere præstationen af hver enkelt komponent i dine salgstragtesystemer.
  
  
• Salgskompensation:
  Bestem de rigtige kompensationsniveauer for dine salgsmedarbejdere. Beslut dig for den rigtige incitamentsordning for salgsrepræsentanterne. Ved hjælp af salgsdata skal du give objektive mål og løbende øge dine salgsrepræsentanters præstationer.

KUNDESERVICE

• Social lytning og billettering:
  Udnyt Natural Language Processing og maskinsyn til at identificere kunder, der skal kontaktes, og svar dem automatisk eller tildel dem til relevante agenter, hvilket øger kundetilfredsheden. Brug data i sociale netværk til at afdække, hvem og hvad der skal sælges.
  
  
• Intelligent opkaldsvejledning:
  Rute opkald til de mest kompetente agenter, der er til rådighed. Intelligente routing-systemer inddrager data fra alle kundeinteraktioner og optimerer kundetilfredsheden. Baseret på kundeprofilen og din agents præstationer gør det muligt at levere den rigtige service med den rigtige agent. Opnå overlegen netto promotor score.
• Klassificering af opkald:
  Udnyt Natural Language Processing til at forstå, hvad kunden forsøger at opnå, så dine agenter kan fokusere på aktiviteter med større værditilvækst. Før du kanaliserer opkaldet, skal du registrere arten af dine kunders behov.
  
  
• Opsporing af opkaldsintention:
  Udnyttelse af Natural Language Processing og maskinlæring til at vurdere og administrere kundens hensigt (f.eks. afbrydelse) for at forbedre kundetilfredsheden og forretningsmålinger. Sentimentanalyse gennem kundens stemmestyrke og tonehøjde. Opdag de mikro-emotioner, der driver beslutningsprocessen.
  
  
• Analyse af kundekontakt:
  Avanceret analyse af alle kundekontaktdata for at afdække indsigter, der kan forbedre kundetilfredsheden og øge effektiviteten. Udnyt Natural Language Processing for at opnå højere kundetilfredshed.
  
  
• Stemmeautentifikation:
  Autentificer kunder uden adgangskoder ved hjælp af biometri for at forbedre kundetilfredsheden og reducere problemer med glemte adgangskoder. Deres unikke stemme-id vil være deres mest sikre nøgle til at få adgang til fortrolige oplysninger. I stedet for de sidste fire cifre i SSN vil kunderne få adgang ved at bruge deres stemme.
  
  
• Forslag til svar fra kundeservice:
  Bots vil lytte med i agenternes opkald og foreslå svar på bedste praksis for at forbedre kundetilfredsheden og standardisere kundeoplevelsen. Øg op- og krydssalg ved at give det rigtige forslag. Svarene vil blive standardiseret, og den bedst mulige tilgang vil være til gavn for kunden.
  
  
• Chatbot til kundeservice (selvbetjeningsløsning):
  Byg dine egne 24/7 fungerende, intelligente, selvforbedrende chatbots til at håndtere de fleste forespørgsler og viderestille kunderne til liveagenter, når det er nødvendigt. Reducer omkostningerne til kundeservice og øg kundetilfredsheden. Reducer trafikken på dine eksisterende kunderådgivere, og få dem til at fokusere på dine kunders mere specifikke behov.

• Marketing analytics:
  AI systems learn from, analyze, and measure marketing efforts. These solutions track media activity and provide insights into customer relations efforts to highlight what is driving engagement, traffic, and revenue. As a result, companies can provide better and more accurate marketing services to their customers. Besides customer and public relations efforts, AI-powered marketing analytics can lead companies to identify their customer groups more accurately. By discovering their loyal customers, companies can develop accurate marketing strategies and retarget customers who have expressed interest in products or services before. 
  
  
• Personalized Marketing:
  The more companies understand their customers, the better they serve them. AI can assist companies in this task and support them in giving personalized experiences for customers. As an example, suppose you visited an online store and looked at a product but didn’t buy it. Afterward, you see that exact product in digital ads. More than that, companies can send personalized emails or special offers and recommend new products that go along with customers’ tastes.
  
  
• Context-Aware Marketing:
  You can leverage machine vision and Natural Language Processing to understand the context where your ads will be served. With context-aware advertising, you can protect your brand and increase marketing efficiency by ensuring your message to fits its context, making static images on the web come alive with your messages.