Communiqué de presse CSML

1 floor elevator Pitch

Pourquoi a-t-on décidé de faire ça ?

Nom

Environnement complexe

Dis-m'en plus, pourquoi est-ce un problème?

ça implique quoi comme challenge

Donc tu dis que c'est cette solution qui est la bonne, comment ça?

Contactus@

C'est quoi?

Ca sert à quoi

A quelle date

CSML

premier langage de programmation

Open source

Créer des chatbots

Se connecter à tous les logiciels

Se connecter aux APIs/interfaces facilement/simplement

Indépendance

Sécurité de la donnée

Personnalisation

Communiquer comme par texto

Assistant personnel

Difficulté à connecter les APIs

Et faire des deux, quelque chose de simple

Langage de chatbots complexes, long

Achat d'un bot prend du temps, est complexe, et est peu scalable

Simplicité

Design

de prise en main

Maintenir

Créer des conversations entre bot et hupain

Plateforme de chatbot

Le codepen du chatbot

langage avec mémoire

pour

Interface facile pour les utilisateurs

utilisateurs Interagissent facilement avec des logicieils

Actions répétitives ou complexes

Interface naturelle

Logiciels saas, bloquent rapidement

2 méthodes aujourd'hui pou créer un chatbot

Glisser-déposer graphique

Difficile d'en sortir

Pas d'exportation facile

locked-in

dependent

Créer avec un langage connu

Les choses complexes deviennent très compliqué à intégrer (comme gérer la mémoire)

Comme "Market consolidation has already proven that Javascript has won the battle for the web, and most serious iOS applications today are written in Swift, while Java is used for Android applications. As most large companies worldwide are now involved in at least one conversational program, the underlying technology and tooling is outdated and due for a global standardisation."

Besoin de standardisation de ✏

Un langage simple, scalable, commun pour les chatbots

CHIFFRES

Un service disponible 24/7,

85% des interactions clients qui seront gérés entièrement par un bot d'ici 2020. (22) https://www.gartner.com/imagesrv/summits/docs/na/customer-360/C360_2011_brochure_FINAL.pdf

Transformé des actions, en une simple conversation

D'ici 2022, 70% des employés de bureaux communiqueront avec un chatbot tous les jours 😍
https://www.gartner.com/smarterwithgartner/chatbots-will-appeal-to-modern-workers/

By 2022, 35% of organizations will utilize conversational user experience and natural language processing interactions in their talent acquisition, which will turn the job application process into a simple conversation. https://www.gartner.com/smarterwithgartner/4-key-trends-gartner-hype-cycle-human-capital-management-technology-2019/

Will be responsible for cost savings of over $8 billion per annum by 2022, up from $20 million this year 😊
https://www.juniperresearch.com/analystxpress/july-2017/chatbot-conversations-to-deliver-8bn-cost-saving

265 Billion Customer Requests. Businesses spent nearly $1.3 trillion to service these requests
https://www.ibm.com/blogs/watson/2017/10/how-chatbots-reduce-customer-service-costs-by-30-percent/

The research also found that chatbots leveraged for customer service have a strong potential to reduce costs; with deployments realising annual savings for retailers of $439 million globally by 2023, up from just $7 million in 2019.
https://www.juniperresearch.com/press/press-releases/chatbot-interactions-retail-reach-22-billion-2023

Meanwhile, retail sales resulting from chatbot-based interactions will reach $112 billion by 2023, up from $7.3 billion in 2019; representing an annual growth rate of 98%.
https://www.juniperresearch.com/press/press-releases/chatbot-interactions-retail-reach-22-billion-2023

QUOTE : Chatbots are essentially the “apps” of voice and messaging platforms, defining how people converse with your digital business services and data.

Faster chat speed. AI bots can drastically reduce customer wait time. One client reported chatbots replying with five seconds of customer contact, while typical advisors take 51 seconds. ❤️
https://www.gartner.com/smarterwithgartner/bots-gain-importance-in-gartner-service-technologies-bullseye/

Greater capability and scale. AI bots are able to solve simple issues while letting advisors focus on the more complex tasks. Additionally, bots are able to help serve a growing customer base without the necessity of adding advisors.

CSML’s objective is to make designing conversational experiences as intuitive as possible, drastically reducing the time and costs to create and deploy any chatbot at scale compared to all existing platforms and make it as easy as possible to connect any human with any machine.

Scalabilité

Bénéfices

Créer facilement et rapidement des chatbots

Se connecter en quelques clics

Mots-clés

Se connecter simplement à tous les logiciels

Créer un chatbot simplement et rapidement