Brands

Drill-down from category, brand, and item performance through the retail data to specifics based on location, time, and customer demographics - to understand reasons behind performance results to make quick, smart, and forward-looking decisions.
Build competitive analysis on traditional metrics (sales and market share) and on granular, basket-level insights such as basket size, velocity, incremental sales, and tracking seasonality opportunities
Access automated, personalized dashboards for efficient monitoring
Create custom dashboards and alerts within SwiftIQ to quickly distribute information
Understand the performance of foodservice, meal solutions, and other non UPC items such as coupons
Diagnose key problem areas faster, and anticipate out-of-stocks by accessing sell-in/sell-out data and forecast analytics

Precisely measure full store ROI from any activity (displays, promotions, coupons, etc.) utilizing time-based transaction data
Implement zero-based budgeting on all customer-specific decisions from promotions to staffing, equipment, pricing and more
Quantify both item and full store retail impact with complete basket-level insights
Eliminate reliance on guessing from weekly aggregated syndicated data
Analyze profitability metrics or key performance indicators (KPIs) to maximize lift and ROI
Analyze the most efficient discounts, the most profitable customer segments to capitalize on, and the best year/week/day parts to target

Sell an additional item by identifying optimal cross-purchase correlations to create the most effective bundles by month, week, or time of day
Analyze affinities based on any product attribute such as item, brand, pack size, or category
Discover how unique items are to each other and which item tends to drive the other
Grow your foodservice category by pairing fresh food with beverages, snacks, and more
Observe and understand, on the fly, unique shopper behaviors such as basket size and content, number of visits and purchase history to identify valuable targets and personalize offers

Sell more per store by utilizing the incremental value generated by an item or brand and its store contribution to make continuous improvements to shelf space
Localize distribution and assortment recommendations by catering to specific behaviors of a retail location
Assist store managers with flex space decisions
Create better planograms during annual, semi-annual, or quarterly resets

Know the best stores, prices, and times to launch a new item
Track new item performance in real-time
Collaborate with retailers and distributors by focusing on stores that will drive the most growth
Communicate the best sales stories using daypart, basket-size, and category-level data
Identify key opportunities to launch a new product
Eliminate poorly performing items faster, freeing up space for growth

Utilize deep customer insights to identify key shopper missions and personalize customer experiences
Quickly identify your most valuable customers - Know how much they spend, what/when they buy, and how many times they visit your store

Improve retailers’ transaction data by enriching transactional data with metadata such as supplier product catalogue, location, and other attributes to identify
Understand performance in terms of retailers’ views on their calendar time periods, product and category hierarchies and internal reportings
Improve joint business planning and partnerships as a valuable data provider

Translate Insights into Tactical Strategic Actions