StoreForce helps specialty retailers increase profitability by turning foot traffic into results. Purpose-built for store operations, StoreForce combines labor scheduling, real-time KPIs, task management, and performance tools into one solution, giving Retailers everything they need to maximize the value of every in-store visit. From increased conversion rates to consistent in-store execution, StoreForce enables Retailers to operate smarter, faster, and with greater impact.
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Simplifying Retail - Built by Retailers, for Retailers
Full company description
StoreForce helps specialty retailers increase profitability by turning foot traffic into results. Purpose-built for store operations, StoreForce combines labor scheduling, real-time KPIs, task management, and performance tools into one solution, giving Retailers everything they need to maximize the value of every in-store visit. From increased conversion rates to consistent in-store execution, StoreForce enables Retailers to operate smarter, faster, and with greater impact.
LinkedIn followers
5,934
People associated on LinkedIn
108
Reported office locations
Toronto, Toronto, Ontario, CA
Business categories
Human Resources
Retail Technology
Task Management
Software
Predictive Analytics
Retail
SaaS
Scheduling
Computer
Other recorded names
StoreForce
Specialties
Retail Scheduling
Workforce Management
Labor Optimization
Real-Time Performance Management
Retail Reporting
Task & Event Management
Time & Attendance
Specialty Retail
Sales Floor Performance
Store Visits
Employee Scheduling
and Store Communications
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
10+ YOE5+ MgmtCandidates need 10+ years of B2B marketing experience, including 5+ years in senior marketing leadership at a B2B SaaS company, and experience in a private equity-backed business. Strong digital marketing, analytics and attribution skills, plus AI search expertise, are required.
5+ YOECandidates need 5+ years building data pipelines or backend systems, including 2+ years running a modern data stack in production. Strong hands-on skills with Databricks, Apache Spark, SQL and Python are required, along with experience building against Anthropic Claude and OpenAI APIs.
Databricks, Apache Spark, Delta Lake, Unity Catalog, Lakeflow, Databricks SQL