account groupicon_account_group_smallShapeleft arrowlong left arrowright arrowbinocularsbook open 3.3.3.1 2222Open Book Iconbook open 4.3.3.1Open Book with Words iconicon_browser_talkbrowser windowicon_browser_window_smallIcon / Digital Businessicon_cloud_outlineicon_cog_bulbcompatible devices 2.3.3.1computer media.3.3.1icon_credit_cardscompatible devices 2.3.3.1icon_envelopesFacebookIcon / Digital BusinessIcon / Product Engineeringicon_graph_baricon_graph_bar_smallgraph line 2.3.3.1account group 3.3.3.1icon_heart_handshakeInstagramlayout 8.3.3.1LinkedInPage 1 Copy 2mobile phone portrait.3.3.1Mobile Phone (iPhone) iconIcon / Digital BusinessOutline_Icons_1_network.6.3.1icon_network_circlenewsletter iconOutline_Icons_1_account group 1.3.3.1Presentation IconProduct Iconquote 1.2.3.1quote 1.2.3.1 copyregister machine.3.3.1shopping cart 4.3.3.1Twittervideo clip 1.3.3.1Video player iconGroupGroup 2

Challenge

Well Woven, a leading rug manufacturer and distributor asked Mission Data to evaluate the feasibility and value of leveraging a speech-based user interface in a warehouse environment. As a proof of concept, the effort is limited to the area of inventory management.

Solution

Given our interest in business use case scenarios appropriate for Amazon Echo’s Alexa, we jumped at the opportunity to rapidly develop and test this proof of concept (POC). Mission Data developed two primary Alexa interactions–the inventory status and location of a SKU in the Well Woven warehouse. Sample commands: “How many of item 8532 are there?” “What aisle is item 549103 in?”

Results

Mission Data implemented custom, fundamental Alexa commands to explore the voice-based technology’s capability to make improvements to Well Woven’s operational efficiencies. The Alexa inventory support skills proof of concept was accepted, implemented and performed as expected. This leads the way to further exploration of voice-based interaction to improve Well Woven’s operational processes.

Timeframe

1 week

Our Role

  • Strategy
  • Engineering