Scaling peak-season service with Dynamics 365 Contact Center and Copilot at a specialty retailer
A specialty retailer's order-status and returns volume doubled every peak season. pronix.ai implemented Dynamics 365 Contact Center with Copilot Studio self-service across chat, SMS and voice, plus Copilot for Service summaries for agents — so the team handled peak without the usual temporary hiring wave. Client name withheld under confidentiality; outcomes are typical for this scope, not audited client results.
Omnichannel specialty retailer · Microsoft Dynamics 365 · Copilot Studio · Copilot for Service
- Client
- Omnichannel specialty retailer
- Industry
- Retail & Ecommerce
- Platform
- Microsoft Dynamics 365 · Copilot Studio · Copilot for Service
*Representative outcome; results vary by client, scope and platform configuration.
The challenge
An omnichannel specialty retailer saw order-status ("where is my order"), delivery and returns contacts roughly double every peak season. The team relied on temporary hiring, long training cycles and overtime, while chat and voice ran on separate tools with no shared customer history — so customers repeated themselves and many contacted the retailer more than once about the same order.
Our approach
Peak-season contact analysis
Pronix.ai profiled peak-season contact reasons and repeat-contact drivers, and agreed baseline measures for containment, onboarding time, CSAT and repeat contacts before any build began.
Copilot Studio self-service across channels
Order-status, delivery, returns initiation and store-hours intents were automated on chat, SMS and voice with live commerce and order-management lookups.
Context-preserving handoff
Escalations arrived in Dynamics 365 Contact Center with the full self-service transcript and order context, so customers never had to repeat themselves.
Real-time Copilot agent assist
Copilot for Service suggested policy-correct answers for returns, exchanges and delivery exceptions, letting seasonal staff handle conversations confidently far sooner.
Automated summaries and wrap-up
Conversation summaries and wrap-up codes reduced after-call work and gave operations cleaner data on why customers were contacting the retailer.
Peak-ready operations and continuous tuning
Forecasting and real-time dashboards gave supervisors visibility before queues spiked, and weekly intent reviews moved new contact reasons into self-service through the season.
Stack assumptions
The reference stack behind this program. Assumptions are what pronix.ai brought in on day one — swap-outs are common, and the implementation summary explains where the substitutions cost time or accuracy.
| Layer | Component | Assumption on day one |
|---|---|---|
| Contact center | Dynamics 365 Contact Center | Unified routing for chat, SMS and voice |
| Self-service | Copilot Studio | Order-status, delivery and returns intents with live lookups |
| Agent assist | Copilot for Service | Grounded in approved returns and delivery policies |
| Commerce data | Commerce and order-management integrations | Read access to orders, shipments and returns |
| Analytics | Real-time and historical dashboards | Supervisor visibility for peak capacity planning |
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Read →Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.
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