[et_pb_section fb_built=”1″ _builder_version=”4.5.1″ _module_preset=”default” background_image=”https://sigmacognition.ai/wp-content/uploads/2021/06/Sigma-2bg.jpg” custom_padding=”60px||43px|||” animation_style=”slide” animation_direction=”top” background_last_edited=”on|phone” background_color_gradient_end_tablet=”rgba(0,42,71,0.44)” background_color_gradient_end_phone=”rgba(0,42,71,0.44)” background_color_gradient_overlays_image_tablet=”off” background_color_gradient_overlays_image_phone=”off” locked=”off”][et_pb_row use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” module_class=”service-ti-sub” _builder_version=”4.5.1″ _module_preset=”default” width=”90%” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” max_width=”1210px” max_width_tablet=”90%” max_width_phone=”90%” max_width_last_edited=”on|desktop” custom_padding=”0px||0px||true|”][et_pb_column type=”4_4″ _builder_version=”4.7.7″ _module_preset=”default”][et_pb_text _builder_version=”4.5.1″ _module_preset=”default” header_font=”Josefin Sans|700|||||||” header_text_align=”center” header_text_color=”#ffffff” header_font_size=”60px” header_line_height=”0.9em” header_2_font=”Alata|700|||||||” header_2_text_align=”center” header_2_text_color=”#ffffff” header_2_font_size=”40px” header_2_line_height=”1.5em” header_3_font=”Alata|600|||||||” header_3_text_align=”center” header_3_text_color=”#000000″ header_3_font_size=”54px” header_3_letter_spacing=”-1px” custom_margin=”30px||||false|false” header_3_font_size_tablet=”” header_3_font_size_phone=”35px” header_3_font_size_last_edited=”on|phone”]

Product Recommendation System

[/et_pb_text][et_pb_text _builder_version=”4.5.1″ text_font=”Josefin Sans||||||||” text_text_color=”#ffffff” text_font_size=”20px” text_line_height=”1.5em” text_orientation=”center” text_font_size_tablet=”” text_font_size_phone=”20px” text_font_size_last_edited=”on|phone”]How Business Intelligence AI technology can help in sales.[/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.5.1″ _module_preset=”default” locked=”off”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”1″ make_equal=”on” module_class=”ser-img-text” _builder_version=”4.5.1″ _module_preset=”default” background_image=”https://sigmacognition.ai/wp-content/uploads/2021/01/landing-95-6.png” width=”90%” max_width=”1170px” max_width_tablet=”90%” max_width_phone=”” max_width_last_edited=”on|phone” custom_padding=”0px||0px||true|false” locked=”off” width__hover_enabled=”on|desktop”][et_pb_column type=”1_2″ module_class=”ds-vertical-align” _builder_version=”4.5.1″ _module_preset=”default” background_enable_image=”off” animation_style=”slide” animation_direction=”left”][et_pb_image src=”https://sigmacognition.ai/wp-content/uploads/2021/04/B-Digital2.png” title_text=”B-Digital2″ _builder_version=”4.5.1″ _module_preset=”default”][/et_pb_image][/et_pb_column][et_pb_column type=”1_2″ module_class=”ds-vertical-align” _builder_version=”4.5.1″ _module_preset=”default” background_enable_image=”off” custom_padding=”60px|60px|60px|60px|true|true” custom_padding_tablet=”” custom_padding_phone=”30px|30px|30px|30px|true|true” custom_padding_last_edited=”on|phone” animation_style=”slide” animation_direction=”right”][et_pb_text _builder_version=”4.5.1″ _module_preset=”default” header_2_font=”Josefin Sans|700|||||||” header_2_text_align=”center” header_2_text_color=”#ffffff” header_2_font_size=”25px” header_3_font=”Livvic|700|||||||” header_3_text_align=”center” header_3_text_color=”#ffffff” header_3_font_size=”36px” header_3_line_height=”1.3em” module_alignment=”center” custom_margin=”||21px|-31px|false|false” custom_margin_tablet=”-10px||||false|false” custom_margin_phone=”-10px||||false|false” custom_margin_last_edited=”on|phone”]

The Challenge

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Company had a large and complex product portfolio. The product portfolio had frequent updates, so not only was difficult for call center sales agents to learn it but also to keep up with all the changes and special offers. Additionally, the call center had a high sales agent turnover. Training a new agent took one month plus five additional months of experience in the position to reach the target sales level, which was time consuming and costly.

Sigma’s Recommendation System learns from the previous sales and customer’s profiles, so it saves training time and increases sales.

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The system adapts to the changes rapidly by using current sales data and new product information. 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• 75% reduction of the agents training.
• 75% reduction of the calls duration.
  16% increase of the calls conversion rate.
• Junior agents using the recommendation system sold 7% than senior agents with no recommendation system support.
• Turnover reduction since the agent work is easier.

[/et_pb_blurb][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.5.1″ _module_preset=”default” background_enable_color=”off” custom_padding=”40px||40px|||” locked=”off”][et_pb_row _builder_version=”4.5.1″ _module_preset=”default” custom_padding=”||0px|||” locked=”off”][et_pb_column type=”4_4″ _builder_version=”4.5.1″ _module_preset=”default”][et_pb_text _builder_version=”4.5.1″ _module_preset=”default” header_font=”Josefin Sans|700|||||||” header_text_align=”center” header_font_size=”20px” header_2_font=”Josefin Sans|700|||||||” header_2_text_align=”center” header_2_text_color=”#000000″ header_2_font_size=”35px” header_3_font=”Livvic|700|||||||” header_3_text_align=”center” header_3_text_color=”#ffffff” header_3_font_size=”36px” header_3_line_height=”1.3em” module_alignment=”center” custom_margin=”||21px|-31px|false|false” custom_margin_tablet=”-10px||||false|false” custom_margin_phone=”-10px||||false|false” custom_margin_last_edited=”on|phone” hover_enabled=”0″]

See More Uses Cases – Sigma Business Intelligence

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