58%
Reduction in lost sales
93%
User acceptance rate for store replenishment decisions
121
Stores
14K
Active SKUs
Mopas, a grocery retailer with 121 stores, one DC and 14K active SKUs, handled store replenishment planning manually, in response to store orders. Stock-outs were excessive, the company carried obsolete inventory, and wastage was high on short shelf-life products.
So Mopas partnered with Solvoyo to digitize and integrate store replenishment and purchase order planning. Users accept 93% of the store replenishment decisions, lost sales fell 58% and inventory cost fell 14%.
Store Replenishment Planning Was Manual and DC Purchasing Depended on People
Replenishment was a manual process that responded to store orders. DC purchasing depended on people, with limited control over working capital.
The challenges also included:
- Excessive stock-outs
- Obsolete inventory
- High wastage on short shelf-life products
- No process-wide tracking and no real-time visibility of KPIs
The goals were to reduce excess stock and minimize stock-outs through efficient demand-driven replenishment planning, and to digitize and integrate store replenishment and purchase order planning by using advanced analytics.
Solvoyo Integrated Replenishment and Purchase Order Planning on One Platform
Demand-driven replenishment planning for the stores uses advanced analytics to produce store replenishment decisions in place of the manual process that responded to store orders.
Store replenishment and purchase order planning are integrated into one digital process that supports collaboration and visibility.
Automated Diagnostics let users identify the reasons behind stock-outs quickly, and integrated purchase orders on a single platform let them track, report and create POs without moving between systems to communicate with vendors.
93% Acceptance and 58% Fewer Lost Sales
The user acceptance rate for store replenishment decisions is 93%, and lost sales fell 58%.
The other gains:
- 14% decrease in inventory cost
- 85% product availability in stores
- 20% reduction in stock-outs
- 33% of SKUs delisted
- 40% year-over-year growth
What Does This Mean for You?
Mopas replenished its stores by hand in response to store orders, and DC purchasing depended on people. With demand-driven replenishment planning and integrated purchase orders on one platform, users accept 93% of the decisions and lost sales fell 58%.
If your stores are replenished from store orders and your DC purchasing depends on people, Mopas faced the same setup. Solvoyo’s demand-driven replenishment planning, with purchase orders on the same platform, is what it adopted.
About Company
Mopas is a grocery retailer with 121 stores, one DC and 14K active SKUs, and $25-50M in revenue.
Achievements
93% user acceptance rate for store replenishment decisions
58% reduction in lost sales
14% decrease in inventory cost
85% product availability in stores
Don’t take our word for it
Solvoyo provides strategic and tactical planning support while fulfilling our operational planning needs as well. We can seamlessly integrate with their platform and use their recommendations to minimize our costs and maximize efficiency. Solvoyo succeeded in automating the Supply Chain Planning at MOPAS in a very short time.
With a network of 9800 stores, supply chain disruptions and uncertainty are normal for us, we keep opening hundreds of new stores and multiple DCs every year. With advanced analytics and automation, we planned for this level of complexity way ahead of our competitors.
Solvoyo is not just a great platform to support your replenishment process. It is also a great team to support you with insights and guidance on the road to improved efficiency. A true partnership.
Using demand-driven replenishment planning gave us the agility and scalability we needed in times of market disruptions. We replaced our manual methods with automated recommendations for 10,000 stores in different locations. Thanks to Solvoyo’s daily replenishment recommendations, we gained a competitive edge by reducing stock-outs and increasing availability.
