AI Transformation · Retail

Grand Stores

Grand Stores partnered with Grower to drive measurable results using AI-powered marketing operations — from strategy to execution.

Grower Platform usedGrower
Grand Stores
60% less manual processing time
60% less manual processing time
40% faster turnaround
80%+ team adoption
Project overview

Putting AI to work where it pays

Grand Stores knew AI mattered. What it lacked was a clear answer to the only question that counts: where, specifically, will AI make this business faster, cheaper, or better? Grower came in as Grand Stores’ AI operating system to replace scattered experimentation with a focused roadmap and working systems the team actually uses.

The challenge

Like most companies mid-transformation, Grand Stores had energy but no map. Teams were testing AI tools in isolation, sensitive processes had no usage guidelines, and leadership had no reliable way to separate genuine opportunities from hype. Meanwhile, hours of skilled work were being spent every week on tasks automation should have absorbed long ago.

The solution

Grower ran a structured AI transformation program: audit first, quick wins second, and lasting capability third.

01 Phase 1 · Audit An AI Opportunity Audit Grower mapped Grand Stores’ workflows end to end and scored each one for automation potential, ranking opportunities by impact and effort so the roadmap started with the highest-return work.
02 Phase 2 · Automate Quick Wins in the First 60 Days The most repetitive workflows, including document processing and reporting, were automated first, freeing skilled staff for the work that actually needs them and building internal momentum for the program.
03 Phase 3 · Adopt AI Assistants Where the Work Happens Custom AI copilots were embedded into the team’s daily tools for drafting, research, and analysis, backed by hands-on training that turned skeptics into daily users.
04 Phase 4 · Govern Governance That Enables Instead of Blocks Clear usage policies, data handling rules, and review checkpoints gave leadership the confidence to scale AI use without exposing the business to unnecessary risk.
The results

The program paid for itself within months, and the gains keep compounding:

 Manual processing time on core workflows dropped by 60%, returning hundreds of skilled hours to the business every month.
Turnaround on client-facing deliverables improved by 40%, a difference customers noticed and commented on.
AI tool adoption reached over 80% of the team within the first quarter, driven by training built around real daily tasks.
Leadership now works from a prioritized AI roadmap, with each initiative tied to a measurable business outcome.
The impact

Grand Stores moved from talking about AI to running on it. The transformation was practical rather than theatrical: fewer hours lost to repetitive work, faster delivery, and a team that treats AI as standard equipment.

The company now has something most of its competitors do not, a working playbook for evaluating and deploying AI. Every new use case starts from proven ground instead of a blank page.

Grower products used
Grower AI Marketing OS Automated workflows
Last reviewed: October 2026
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