Smart Retail
As an international supermarket chain expanded globally, its manual cleaning operations became unsustainable due to labor shortages, high costs, and inconsistent standards. While cleaning robots alleviate those issues, a set of different challenges impede large-scale robot deployment: vendor dependency, high subscription fees, fragmented systems between vendors, and poor coordination.
To solve our client's problem, we created a platform that unifies the management of in-store devices such as cleaning robots, security cameras, and electronic shelf labels across their retail locations.
Edgenesis helped Retailers:
- Seamlessly integrate 40+ robots from 4 brands across 10 stores.
- Reduce development cost and management complexity for upper-layer applications when onboarding new devices.
- Overall, our solution helped lower the client's 3-year Total Cost of Ownership (TCO) by 20%-30%.
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Solution Architecture
Edgenesis leveraged its proprietary Kubernetes-native IoT framework Shifu to build a vendor-agnostic, scalable smart management solution deployable across all store locations.
- Device-Agnostic Platform: Independent of any robot vendor cloud services, avoiding vendor premiums and lock-in risks
- Unified Access Management: Shifu enables unified integration of multi-brand, multi-type robots along with cameras, electronic shelf labels, and other devices
- Smart Scheduling & Coordination: Connects data pathways between robots, on-site personnel, and store equipment for intelligent scheduling
- Edge-Cloud Architecture: Device-Edge-Cloud collaborative architecture supporting offline operation and remote monitoring
Edgenesis Solution
Device-Agnostic
Independent of any robot vendor cloud services, avoiding vendor premiums and lock-in risks.
Unified Access
Shifu enables unified integration of multi-brand, multi-type robots along with cameras and other devices.
Smart Scheduling
Connects data pathways between robots, personnel, and equipment for intelligent scheduling.
Edge-Cloud
Collaborative architecture supporting offline operation and remote monitoring.
Result
At a scale of 40+ robots across 4 brands and 10 stores, our solution reduced overall TCO by 20%-30% over a 3-year period.
Cost Reduction and Efficiency Gains: Overall TCO reduced by 20%-30% over a 3-year period.
Flexible Adaptation: Unified architecture across multiple regions, while still accommodating different requirements in each locale.
Intelligent Scheduling: Real-time monitoring of devices, intelligent scheduling, multi-robot collaboration, and consumables management across all global stores.
Data-Driven: Data from devices is analyzed to help management make better decisions and continuously improve store operations.
