Home » Applications »

Supply Chain

You Lose More than a Sale If Your SKU Isn’t on the Shelf

Out-of-stocks are a serious problem. If your SKU isn’t there when a customer expects it to be, you’ve lost a potential sale and have potentially damaged their brand loyalty. That means a loss of future sales too.

Exceptional supply chain management is a coordinated, collaborative team effort between c-level and retail team sales, marketing, supply chain and production personnel. And you can’t operate as a strategic team if you don’t all have the same demand data in the same easy-to-understand format.

SOLYS integrates and processes POS, order and shipment cross-channel data and collates it into a variety of category management dashboard applications and reports. With SOLYS, every member of your team has the business and demand intelligence they need to better forecast, produce and deliver products. Strategic communication and a collaborative team effort are the key to improve forecasting and fulfillment rates, increase incremental sales, improve gross margins, reduce lost sales, increase in-stocks, and optimize supply and inventory turnovers.

SOLYS enables you to:

  • Identify out-of-stock items and quickly reallocate supplies to alleviate the most egregious out-of-stocks.
  • View out-of-stock context — number of stores carrying an item, chain-wide on-hand quantity, current weeks of supply, retailer-specific units sold.
  • Set custom in-stock threshold percentages to sort SKUs and perform root cause analysis.
  • Examine regional, store- and SKU-level data to better allocate safety stock and identify stores who routinely underperform when getting SKUs on the shelf.
  • View item sales and inventory history to determine whether out-of-stocks are historical or specific to certain time frames.
  • Assess in-stock seasonality, paycheck cycle trends and build order trends.
  • Improve product allocation by looking beyond overall in-stock percentages and examining regional and demographic data to identify potential lost sales.
  • Improve forecast accuracy — and identify inaccurate future forecasts — by reviewing previous POS histories and comparing your forecast to that of your retailer.
  • View in-stock data particular to one, or a series of, distribution centers.
  • Establish contingency forecasting plans and measure forecasting accuracy rate.
  • Review current supply, order and demand review.
  • Proactively adjust production and shipping schedules.
  • Identify distribution challenges due to regional, store or distribution center misallocations.
  • Reduce inventory costs by reducing the inventory overage ratio.