Workforce Planning

Optimally manage your workforce schedules accounting for peaks and valleys in workload and sales activities. Track your store KPIs. Get fast and easy insights.

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Optimize work schedules

Workforce planning determines workforce requirements, identifies the gap between the present and the future, and recommends schedules to achieve commercial targets. In summary, scheduling the right number of people with the right skills in the right place at the right time and minimize cost.

Solvoyo’s web-based solution provides a fully configurable UI for automated data analysis focusing on end-to-end planning and transparency across the entire store operations network. The collaboration across different teams is easy on our cloud-based platform.

A more dynamic and automated process

The multi-objective optimization model recommends employee shift schedules in stores according to workload forecasts within a given budget in line with employee skills, labor laws, and regulations. It optimally distributes the workforce in stores considering staff availability and real-time traffic data in all departments and stations such as checkout, fitting rooms, shop floor, and storage room resulting in better customer service. Weekly schedules including daily time-outs for all types of employees.  

Start your digital transformation journey

Solvoyo User-Friendly UIs provides flexible reports and graphics offer both operational and tactical improvement opportunities and actionable insights regarding model outputs. Integration with ERPs and KPI tracking, including employee retention, seniority, sales productivity, average working hours, etc.

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What can you achieve with
Solvoyo Workforce Planning Solution?

Multi-objective optimization model working with regulatory constraints
AI/ML powered predictive analytics for demand forecasting
Automated Store clustering to identify similar stores based on KPIs

Configurable reporting UI and dashboard for supporting your business process needs
KPI tracking 
including employee retention, seniority, sales productivity, average working hours
Cloud-based 
platform with user-based access rights

customer-service

Improve Customer Service

operating-cost

Reduce Operating Costs

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Effective Omnichannel Planning: 5 Success Factors

Omnichannel planning has become a central part of retail supply chain planning, with online shopping steadily rising since 2010. With the global pandemic, it became a necessity. Consumers who realized the ease of use of online shopping – choosing items from the warmth of their seat and having them delivered in a couple of days – gained a new habit. This new habit was reflected in the numbers. In the US, the share of e-commerce sales has risen from 4.2% to 11.8% between 2010 and 2020. That share reached a whopping 16.1%, in Q2 of 2020.

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Identify variances in workload patterns across the week and within a day

Identify variances in workload patterns across the week and within a day

Distribution of the available workforce in the store based on regulatory requirements and workload

Detect Adapt Optimize

Distribution of the available workforce in the store based on regulatory requirements and workload

Service levels by aligning shift planning with workload and employee skills while accommodating breaks, vacations and regulatory requirements

Service levels by aligning shift planning with workload and employee skills while accommodating breaks, vacations and regulatory requirements

Solvoyo Store Workforce Planning UI

Staff Availability And Real-Time Traffic Data​

Staff availability and real-time traffic data

Optimally distributing the workforce in stores considering staff availability and real-time traffic data in all departments resulting in better customer service

Store attributes, traffic, and sales data

Observing general store performance by comparing different business scenarios using metrics such as store attributes, traffic, and sales data

Store Attributes, Traffic, And Sales Data​
Scenario-Based Demand Planning​

Store clustering

Store clustering according to respective similarities to compare cost, revenue, or store traffic