How Big R is Implementing AI with RANDEM-ED
We recently mentioned that we launched our OMS AI solution - RANDEM-ED, and we are seeing some interesting results. Big R, an OMS client of ours for nearly 4 years, has been the pioneer for the embracing RANDEM-ED and seeing some great results.
BigR already use our full OMS product suite, but like any business with 50+ store locations, things change rapidly. They faced daily operational friction with complex inventory movements, shipping methods, and being able to obtain actionable real-time inventory data. They needed a way to transform the retail operations - How did we do this together?
The Setup: Diagnostic First Approach
We didn’t just turn the AI on and hope for the best. When we built RANDEM-ED, BigR was one of the first clients to undergo our detailed AI Readiness Diagnostic.
We dug into their operations to understand their readiness and identify the biggest “blockers” their team had to untangle daily.
We paired this with our AI governance processes to ensure the implementation was secure, safe, monitored, and effective. This then aligned with our 3 phase systematic AI implementation approach based on Phase 1. RANDEM-ED "the Doer" - Phase 2 RANDEM-ED "the analyst" - "Phase 3 RANDEM-ED “the strategist"
Phase 1 Results: The “Doer”
Since releasing RANDEM-ED, BigR has taken full advantage of its functions and competencies. The results speak for themselves:
⯈The Outcome
This was only possible because of our controlled operation blueprint - with a key module of this being the training and coaching of RANDEM-ED's
new colleagues at Big R. We strictly monitored how RANDEM-ED performed tasks, allowing it to relearn immediately when new requests were made.
⯈The Verdict
Don’t just hear it from us. Here is what Christine Pittman, Group Head of E-commerce at BigR, had to say:
Phase 2: The “Analyst”
We just launched Phase 2 with BigR: the RANDEM-ED Reporting Suite.
We tested this with a real-life example: a report on Number of Orders + Revenue Per State.
Phase 3: The “Strategist”
Next up is Phase 3. This answers the “So what?” of the data.
Our MCP (Master Control Plane) layer, which will allow RANDEM-ED to recommend actions and actually perform them on behalf of BigR through other 3rd party solutions and across channels, including RANDEMRETAIL, and enabling our merchants to be "agentic commerce ready" with their operational data "AI ready" to fully embrace the future of ecommerce.