C-Store and Voice Analytics Terms Glossary

  1. Acoustic Features: Characteristics of audio signals, such as pitch, tone, frequency, and amplitude, used to analyze speech patterns.
  2. Backstock: Extra inventory stored in the backroom or storage area, used to replenish store shelves as needed.
  3. C-Store: Abbreviation for “convenience store,” a retail establishment offering a range of products for quick purchases.
  4. Call Analytics: Applying voice analytics to customer service or support calls to improve agent performance, customer satisfaction, and call outcomes.
  5. Conversation Analytics: Extracting insights from the interactions, dynamics, and trends within conversations, often used in customer experience analysis.
  6. Conversation Flow Analysis: Studying the progression and structure of conversations to identify bottlenecks, interruptions, or areas of improvement.
  7. Cross-channel Analysis: Analyzing voice data across various communication channels, such as phone calls, social media, and chat interactions.
  8. Diarization: Segmenting and labeling an audio recording to distinguish different speakers and their respective speech segments.
  9. E-commerce Integration: Linking online platforms with physical stores to offer customers the convenience of online ordering and pickup.
  10. Emotion Detection: The process of identifying emotional states from spoken words and vocal intonations in audio data.
  11. Endcap: The shelving unit or display positioned at the end of an aisle, often used to showcase featured or promotional products.
  12. Foot Traffic: The number of customers entering and moving through the store, influencing sales and store layout decisions.
  13. Foodservice: The section of a convenience store that offers prepared food and beverages, often including hot meals, snacks, and drinks.
  14. Forecourt: The area outside a convenience store where fuel pumps, dispensers, and other related equipment are located.
  15. Franchise: A business model where independent entrepreneurs (franchisees) operate stores under a well-known brand (franchisor), following established guidelines.
  16. Fresh Food Rotation: A practice to ensure that perishable items are regularly restocked and older items are sold first to minimize waste.
  17. Fresh Grab-and-Go: Ready-to-eat fresh food items available for immediate purchase, catering to customers seeking quick and convenient meal options.
  18. Gondola Shelving: Freestanding shelving units with adjustable shelves used to display a variety of products.
  19. Impulse Buy: A purchase made on the spur of the moment without much prior planning, often driven by in-store displays and promotions.
  20. In-Store Merchandising: Strategies and techniques to optimize the layout and presentation of products within the store to encourage sales.
  21. Keyword Spotting: Identifying specific words or phrases within audio data, often used for searching and indexing spoken content.
  22. Lottery Terminal: A device used to sell and validate lottery tickets and process winnings in accordance with local regulations.
  23. Loss Prevention: Strategies and measures to prevent theft, reduce shrinkage, and enhance store security.
  24. Natural Language Processing (NLP): The field of AI that focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate human language.
  25. Packaged Beverages: Bottled and canned drinks, including soda, water, energy drinks, and juices.
  26. Perishables: Items like fresh produce, dairy products, and baked goods that have a limited shelf life and require special handling.
  27. Phonetics: The study of the sounds of human speech, including their articulation, acoustic properties, and auditory perception.
  28. Planogram: A visual representation or diagram that outlines how products should be displayed on shelves to maximize sales and visual appeal.
  29. Point of Sale (POS): The area in the store where transactions are completed, including the cash register, payment terminal, and receipt printer.
  30. Private Label: Products branded and sold under the store’s own name rather than a national brand, often providing cost savings and exclusivity.
  31. Price Optimization: Using data analysis and market trends to determine the most competitive and profitable pricing for products.
  32. Prosody Analysis: Examination of speech rhythm, intonation, and variations in pitch to understand linguistic and emotional aspects of speech.
  33. Scan-and-Go: A technology-enabled shopping experience where customers scan products using a mobile app and pay digitally to streamline checkout.
  34. Semantic Analysis: Understanding the meaning and context behind spoken words, going beyond simple keyword recognition.
  35. Sentiment Analysis: A type of NLP that determines the emotional tone or sentiment expressed in spoken or written text.
  36. Shrinkage: The loss of inventory due to theft, damage, or other factors, impacting profitability.
  37. SKU: Abbreviation for “Stock Keeping Unit,” a unique code assigned to each product for inventory tracking and management.
  38. Slush Machine: A machine that dispenses flavored frozen beverages, often found in convenience stores.
  39. Speaker Emotion Profiling: Creating emotional profiles of speakers based on their vocal cues, helping to understand their emotional state over time.
  40. Speaker Identification: The ability to determine and differentiate between different speakers based on their unique voice characteristics.
  41. Speaker Turn Taking: Analyzing the natural turn-taking patterns in conversations to understand how participants engage with each other.
  42. Speech Intelligibility: Measuring how well speech can be understood, often used in assessing audio quality and communication effectiveness.
  43. Speech Recognition: Technology that converts spoken language into text, enabling computers to understand and process human speech.
  44. Tobacco Category Management: Strategies for organizing and promoting tobacco products within legal guidelines and customer preferences.
  45. Voice Analytics: The process of analyzing spoken language to gain insights, trends, and patterns from audio data.
  46. Voice Anomaly Detection: Identifying unusual patterns in speech that may indicate fraud, deception, or unusual behavior.
  47. Voice Assistant Interaction Analysis: Evaluating user interactions with voice assistants like Siri, Alexa, or Google Assistant to improve usability and functionality.
  48. Voice Biometrics: The use of vocal characteristics to uniquely identify individuals, often used for security and authentication purposes.
  49. Voice Cloning: Creating synthetic voices that mimic the speech patterns and vocal characteristics of specific individuals.
  50. Voice Data Privacy: Ensuring that voice recordings are collected, stored, and analyzed in compliance with privacy regulations and ethical standards.
  51. Voice Quality Assessment: Evaluating the clarity, tone, and overall quality of speech recordings for better communication outcomes.