The goal of the implementation was to automate 24/7 customer consultations and order processing across all digital channels while providing multilingual support. Binom Seller was designed to independently recommend products, handle customer objections, and perform upselling, transferring data to the CRM and involving a live agent only when necessary.
The company sells household chemicals through online stores in several countries. The product range, prices, currencies, stock availability, delivery terms, and contact details differ from country to country. At the same time, the brand, core product information, customer communication rules, answers to frequently asked questions, and objection-handling principles remain shared across the whole company.
The company needed to hand over the day-to-day function of communicating with online store customers to Binom Seller.
The synthetic employee needed to:
At the same time, the company needed to retain full control over every conversation and manage Binom Seller’s work through a single dashboard.
average time to first response — under 15 seconds; increase in average conversation depth from 2 to 7 messages; upsell growth from 11% to 35%; 17% increase in average order value.
The company chose Binom Seller — a synthetic salesperson trained on information about the company, the brand, the products, sales rules, customers’ frequently asked questions, and objection handling.
Binom Seller gained the ability to:
A priority language is set separately for each Binom. Binom opens the greeting in that language. After the customer’s first message, it continues the conversation in the customer’s language.
A branded support widget was installed on the online store’s website, offering text, voice messages, and voice communication.
The widget was configured with:
Binom Seller is available not only in the store’s general chat window, but also directly on product pages.
A customer can open a conversation on a specific product page and immediately ask about its properties, use, availability, price, or delivery.
A WebRTC module was connected on the website.
It lets the customer talk to Binom Seller by voice directly on the website in real time.
During the conversation, Binom Seller can:
This kind of communication works like a direct conversation with a sales consultant, without needing to install an additional app or make a phone call.
The online store’s catalog was connected through Google Merchant Feed.
Binom Seller receives up-to-date information from the product feed:
Whenever the information in the Google Merchant Feed is updated, Binom Seller starts using the updated data. This means there is no need to manually upload new price lists every time a price or stock level changes.
For stores that don’t use Google Merchant Feed, the catalog can be connected via XML, CSV, or another agreed data format.
Binom Seller was integrated with the company’s CRM.
The integration allows it to:
Every conversation is saved and can be linked to the corresponding customer in the CRM.
A dedicated Telegram bot was connected for customers.
Through it, a customer can:
Binom Seller uses the same information about the company and its products in Telegram as it does in the online store’s widget.
A separate Telegram bot was connected for company employee notifications.
The company decides for itself which notifications it needs to receive. For example:
The employee Telegram bot is not used to communicate with customers. Its purpose is to keep the team promptly informed about Binom Seller’s work.
Binom Seller was connected to the company’s Facebook Messenger and Instagram.
Customers can ask questions about products and place orders through the brand’s social media pages.
Regardless of the communication channel, Binom Seller uses a single knowledge base and up-to-date product information.
The synthetic employee’s work is managed through the Binom dashboard.
The company can:
Turning off the AI in one conversation does not stop Binom Seller’s work with other customers.
The company operates several online stores in different countries.
A separate Binom Seller was created for each country.
This is necessary because the following can differ from country to country:
For example, Binom Seller for Spain, Poland, and Ukraine are separate synthetic employees.
Each of them works with its own product feed, its own prices, its own currency, and its own local settings.
Despite being split by country, all instances of Binom Seller operate in the company’s shared knowledge space.
Shared information that can be passed between them includes:
Useful information can be passed to other instances of Binom automatically or after review by a moderator.
For example, if Binom Seller in Poland receives a new frequently asked question and a correct answer is worked out for it, that answer can be passed on to Binom Seller in Spain and Ukraine.
Meanwhile, local information — prices, currency, contacts, availability, and delivery — stays separate for each country.
Shared information can be passed between Binom instances through the Documents and Cards sections.
Documents. The Documents section stores uploaded company documents and materials. Documents can be shared with another Binom so the same information doesn’t need to be uploaded twice.
Cards. The Cards section stores individual knowledge cards. They are used for:
If information in a card conflicts with the text of an uploaded document, the card takes priority.
Cards can also be shared between multiple Binom instances.
All Binom instances belong to the client company.
At the same time, employees of local divisions only get access to the Binom instances they are responsible for.
For example:
An administrator or account owner can manage all of the company’s Binom instances.
Through the Teams section, the company can assign:
After implementation, the company gained a unified system for working with customers across all major digital channels.
Binom Seller:
At the same time, the company retains access to conversations, manages knowledge, controls the quality of answers, and defines employee permissions.
→ How to implement the same solution yourself: full 27-step guide
The goal of the implementation was to automate 24/7 customer consultations and order processing across all digital channels while providing multilingual support. Binom Seller was designed to independently recommend products, handle customer objections, and perform upselling, transferring data to the CRM and involving a live agent only when necessary.
The company sells household chemicals through online stores in several countries. The product range, prices, currencies, stock availability, delivery terms, and contact details differ from country to country. At the same time, the brand, core product information, customer communication rules, answers to frequently asked questions, and objection-handling principles remain shared across the whole company.
The company needed to hand over the day-to-day function of communicating with online store customers to Binom Seller.
The synthetic employee needed to:
At the same time, the company needed to retain full control over every conversation and manage Binom Seller’s work through a single dashboard.
average time to first response — under 15 seconds; increase in average conversation depth from 2 to 7 messages; upsell growth from 11% to 35%; 17% increase in average order value.
The company chose Binom Seller — a synthetic salesperson trained on information about the company, the brand, the products, sales rules, customers’ frequently asked questions, and objection handling.
Binom Seller gained the ability to:
A priority language is set separately for each Binom. Binom opens the greeting in that language. After the customer’s first message, it continues the conversation in the customer’s language.
A branded support widget was installed on the online store’s website, offering text, voice messages, and voice communication.
The widget was configured with:
Binom Seller is available not only in the store’s general chat window, but also directly on product pages.
A customer can open a conversation on a specific product page and immediately ask about its properties, use, availability, price, or delivery.
A WebRTC module was connected on the website.
It lets the customer talk to Binom Seller by voice directly on the website in real time.
During the conversation, Binom Seller can:
This kind of communication works like a direct conversation with a sales consultant, without needing to install an additional app or make a phone call.
The online store’s catalog was connected through Google Merchant Feed.
Binom Seller receives up-to-date information from the product feed:
Whenever the information in the Google Merchant Feed is updated, Binom Seller starts using the updated data. This means there is no need to manually upload new price lists every time a price or stock level changes.
For stores that don’t use Google Merchant Feed, the catalog can be connected via XML, CSV, or another agreed data format.
Binom Seller was integrated with the company’s CRM.
The integration allows it to:
Every conversation is saved and can be linked to the corresponding customer in the CRM.
A dedicated Telegram bot was connected for customers.
Through it, a customer can:
Binom Seller uses the same information about the company and its products in Telegram as it does in the online store’s widget.
A separate Telegram bot was connected for company employee notifications.
The company decides for itself which notifications it needs to receive. For example:
The employee Telegram bot is not used to communicate with customers. Its purpose is to keep the team promptly informed about Binom Seller’s work.
Binom Seller was connected to the company’s Facebook Messenger and Instagram.
Customers can ask questions about products and place orders through the brand’s social media pages.
Regardless of the communication channel, Binom Seller uses a single knowledge base and up-to-date product information.
The synthetic employee’s work is managed through the Binom dashboard.
The company can:
Turning off the AI in one conversation does not stop Binom Seller’s work with other customers.
The company operates several online stores in different countries.
A separate Binom Seller was created for each country.
This is necessary because the following can differ from country to country:
For example, Binom Seller for Spain, Poland, and Ukraine are separate synthetic employees.
Each of them works with its own product feed, its own prices, its own currency, and its own local settings.
Despite being split by country, all instances of Binom Seller operate in the company’s shared knowledge space.
Shared information that can be passed between them includes:
Useful information can be passed to other instances of Binom automatically or after review by a moderator.
For example, if Binom Seller in Poland receives a new frequently asked question and a correct answer is worked out for it, that answer can be passed on to Binom Seller in Spain and Ukraine.
Meanwhile, local information — prices, currency, contacts, availability, and delivery — stays separate for each country.
Shared information can be passed between Binom instances through the Documents and Cards sections.
Documents. The Documents section stores uploaded company documents and materials. Documents can be shared with another Binom so the same information doesn’t need to be uploaded twice.
Cards. The Cards section stores individual knowledge cards. They are used for:
If information in a card conflicts with the text of an uploaded document, the card takes priority.
Cards can also be shared between multiple Binom instances.
All Binom instances belong to the client company.
At the same time, employees of local divisions only get access to the Binom instances they are responsible for.
For example:
An administrator or account owner can manage all of the company’s Binom instances.
Through the Teams section, the company can assign:
After implementation, the company gained a unified system for working with customers across all major digital channels.
Binom Seller:
At the same time, the company retains access to conversations, manages knowledge, controls the quality of answers, and defines employee permissions.
→ How to implement the same solution yourself: full 27-step guide
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