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Demand Data Analytics

  • Walgreens Utilizes POS Data Sharing

    Walgreens implements the Agentrics Demand Signal Management platform, powered by Retail Solutions, for its new POS data-sharing program.
  • Easy Gardener Digs into Retailer Data

    Easy Gardener Products Inc., a marketer and producer of gardening products, selects Kenosia Corporation's DataAlchemy software solution to help analyze its wealth of commercial data, including retail-specific, point-of-sale data.
  • Casual Male Deploys BI and Data Warehousing

    Casual Male Retail Group implements a retail-specific Business Intelligence and Data Warehousing application from QuantiSense.
  • Planalytics Adds Decision Tools to Business Weather Intelligence Mix

    Planalytics Inc. adds two new Decision Tools to its Business Weather Intelligence Platform. Planalytics Planner with Planalytics Allocation and Planalytics WeatherAudit join a family of Decision Tools that helop to transform weather data into actionable information presented within specific business contexts.
  • LNK Improves In-Stock Position at Rite Aid

    When LNK International, a private-label manufacturer of over the counter pharmaceuticals, wanted to improve its in-stock position with Rite Aid, the company turned to Prescient's Forecast Exchange solution, a web-based collaboration tool that helps retailers and suppliers to compare forecast information, manage to exceptions and adjust forecasts as required.
  • Meijer Adds Store Level Replenishment

    Meijer powers its scan-based trading (SBT) program with a system by Prescient. Using the commerce model, the supplier maintains ownership of inventory until it is scanned out at point-of-sale.
  • Scolari's Adds Price and Optimization Tools

    Scolari's Food and Drug selects Revionics for its price and promotion optimization technology.
  • Heineken USA, Alliance Sales & Marketing Partner with Kenosia to Derive Value from Data

    As the availability and quality of data continues to increase and improve, consumer goods companies recognize the need to harness this data and find ways to quickly share what they learn with internal teams and retail partners.
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