CASE STUDY · B2B DISTRIBUTION & WHOLESALE

Internal AI Chatbot for Retail Chain

Large-scale retail chain - 1,200 employees, 18 stores across Northern Italy

chatbotretail chaininternal communicationHRretail

74%

Requests handled automatically

-96% (from 24h to 45 seconds)

Average response time

2 FTE to strategic activities

HQ staff reallocated

-35%

In-store procedural errors

+28 NPS points

Employee satisfaction (survey)

THE CHALLENGE

The problem to solve

The 1,200 employees across 18 stores generated 500+ weekly requests to headquarters: questions about operational procedures, shift management, HR requests, IT tickets, and questions about current promotions. The headquarters team employed 3 full-time staff just to answer these requests, with average response times of 24 hours.

THE SOLUTION

What we implemented

Internal AI chatbot accessible via company app and in-store computers, trained on: (1) operational procedures and sales manuals, (2) HR policies (shifts, leave, sick days, payroll), (3) product sheets and current promotions, (4) IT procedures and troubleshooting. Automatic escalation to the relevant department for complex requests.

THE RESULTS

Measured impact

01

Requests handled automatically

74%

02

Average response time

-96% (from 24h to 45 seconds)

03

HQ staff reallocated

2 FTE to strategic activities

04

In-store procedural errors

-35%

05

Employee satisfaction (survey)

+28 NPS points

Timeline

10 weeks (4 development + 3 knowledge base + 3 gradual rollout)

Investment

55,000 - 75,000 EUR (Training 4.0 tax credit for training component)

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