Files

Data is uploaded in a couple of different files, each formatted according to the data specification. These files represent various aspects of your business, market, and external factors, enabling comprehensive modeling in Alviss AI. Below is a list of supported data types, with short descriptions and links to their detailed documentation:

• Sales: Core dataset tracking units sold, price per unit, and optionally profit per unit to model business outcomes like revenue and demand.
• Brand: Metrics on your brand's market perception, such as awareness, liking, penetration, and customer experience tracking.
• Competitor Brand: Similar perception metrics for competitors' brands to analyze market dynamics and competitive effects.
• Distribution: Metrics on your distribution network, like number of stores, sales agents, or offices, to model operational presence.
• Competitor Distribution: Distribution metrics for competitors to understand their market reach and impact on your performance.
• Media: Investments and metrics (e.g., impressions, clicks) for your advertising campaigns across channels like display or Google.
• Competitor Media: Media investments by competitors to model competitive advertising pressure.
• Competitor Price: Pricing data for competitors' products to assess price elasticity and market competition.
• Customer Experience: Investments in CX improvements (e.g., IT, human resources) to estimate ROI on customer satisfaction efforts.
• Events: Time-bound occurrences like outages or strikes to account for disruptions in modeling.
• Extra: Custom variables that don't fit other categories, for flexible inclusion of unique business metrics.
• Macro: Macroeconomic indicators like unemployment or consumer confidence to capture broader economic influences.
• Visits: Traffic metrics to websites or stores from channels like direct or paid search, to link engagement to conversions.
• Weather: Meteorological data like precipitation or wind to model environmental impacts on weather-sensitive operations.