At a Glance
Client profile: Wholesale grocery retailer running retail operations programs.
Wholesale grocery retailer running retail operations programs brought together 15 participants from 3 areas in an in-person AI immersion program to turn retail operations opportunities into 3 initiatives with functional prototypes.
The closing session reported 93% general satisfaction and an average confidence score of 4.73/5 for using AI after the program. The next step is taking the initiatives into production with infrastructure and access to real data.
Use Case
The program helped operations, development, and internal user teams move from discussion to building. The initiatives focused on everyday retail operations challenges: transfers, planograms, and a third category operations workstream.
The closing session included an in-person presentation of progress, lessons learned, and the continuity path each area needs to evaluate before moving into production.
What Was Slowing the Operation Down
The main blocker was not team capability. The closing conclusion was that the bottleneck for producing solutions is infrastructure, permissions, and access to real data.
Teams were already able to identify applicable AI uses, but they needed a shared format to prioritize, prototype, and separate learning from validation and production readiness.
What We Built
Applied immersion: Designed an in-person path for internal teams to work on real retail problems, not generic exercises
Team-based build: Supported 15 participants across 3 areas as they turned operational opportunities into 3 initiatives with functional prototypes
Executive close: Facilitated the final presentation with development and user areas, focused on results, lessons learned, and steps toward production
Adoption readout: Consolidated signals on confidence, applicable skills, opportunity areas, and continuous training needsResults
15: Program participants
3: Areas involved and 3 initiatives developed
93%: General satisfaction reported at close
4.73/5: Average confidence to use AI after the program
73%: Confirm or project that their initiative can reach production in 3 months
87%: Cite at least one immediately applicable skill
13/15: Mention reports and data analysis as an opportunity area
7/15: Mention store support and attention as an opportunity area
53%: Ask for continuous technical training, not only more hackathonsRelated Services
AI immersion programsProject Scope
The scope was an AI immersion and hackathon program for Wholesale grocery retailer running retail operations programs, with in-person work, team guidance, and a closing results session. Development areas and internal users participated so the prototypes stayed connected to real operational needs.
This case documents applied learning, functional prototypes, and preparation for a production path. It does not present ROI, savings, or final operational impact because production remains the next step.
Why It Matters
For retail technology buyers, this case shows a practical adoption signal: when teams understand the problem and build with guidance, adoption no longer depends on isolated enthusiasm. The next work is enabling data, access, and infrastructure so initiatives can become production solutions.
