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Automated Replenishment with
Big Data Analytics


SOK initially ran a pilot implementation with one DC four months after project start. After a month of successful testing, Solvoyo solution was deployed to the other remaining 17 DCs within one month. After 3 months of live operation, the results have been outstanding:


A stock-outs decrease of 38%


A reduction in stock-days of 13%


A decrease in waste for short shelf-life products of 8%


Store employees have more time to spend with customers enhancing relationships

About Sok Markets

SOK Markets operates as a fast-growing hard discount retail chain with 2,500 stores, 18 DCs, 3,500 SKUs and 2014 sales of $1.7 billion. The company looked to Solvoyo for a solution to address its profitability during rapid growth, optimize its inventory and help tackle its most crucial operational challenge of keeping its shelves full.

Their Goal

SOK started a series of initiatives to address its profitability during growth, and identified supply chain efficiency as the primary driver. SOK already had an operational ERP system in place. As part of building a streamlined supply chain infrastructure to support this aggressive growth, SOK looked for an integrated forecasting, inventory planning and automated replenishment solution that would support a more efficient ordering process with limited human intervention at the stores and the DCs, easily integrate with its existing IT infrastructure, and go live fast.

The Solvoyo Solution

SOK and Solvoyo team implemented an automated replenishment planning system on the cloud. This concurrent planning tightly integrates Solvoyo Elevation Platform (SEP) into SOK’s ERP system, and closes the action gap between planning and execution:

Every week, SEP generates sales forecasts for each SKU at each store, and calculates optimal inventory levels for each SKU at the store and at the DC which can be reviewed on an exception basis.
Every day, SEP extracts the inventory positions, open orders, in-transit orders from SOK’s ERP system, then creates an optimized store replenishment plan for each store to review on their local devices.
SEP also recommends purchase orders for each DC to replenish its stock, and creates an exception list for planners to focus on.
Daily POS data from stores and the DC receipt transactions update the ERP, allowing the automated process to loop again the next day.


This automated planning process gets executed during the night, with order recommendations received by each store and all DCs by 8:00 a.m. in the morning. SOK’s previous method required the process to be completed during store hours, taking store employees away from customer service for approximately 4 hours every day. The manual process was prone to errors. Now store employees review and approve the replenishment order process on their intelligent devices in less than 30 minutes, paying attention only to the exceptions.

Adoption of the Solvoyo solution among SOK employees was seamless. The solution allows employees at SOK to see the order recommendations through the interfaces they’re already familiar with, with the Solvoyo solution “plugged in” as an added functionality.


Increase sales and revenue through keeping shelves full and minimizing stock outs
Reduce costs through of optimal inventory policies
Minimize waste associated with employee hours through automated planning
Maintain tribal memory through a process that is less dependent on people and less prone to costly error
Minimize conflicts in performance measurement through successful execution of a Total Cost to Serve (TCS) approach that is good for the company overall

About Solvoyo

Solvoyo is the next generation planning and optimization platform built for the digital revolution in supply chain. Solvoyo helps companies close the gap between planning and execution. Our all-in-one platform forecasts demand, optimizes inventory, plans production, replenishes networks and concurrently optimizes transportation plans. Solvoyo is the only planning platform that allows companies to plan strategic, tactical and operational supply chain actions in one tool. The scalability, analytical capabilities and short implementation cycles of our true cloud platform help our clients achieve dramatic improvements in performance. We are headquartered in Boston, MA with our R&D center in Istanbul, Turkey. For more information,

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