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PROJECT
ELEVATE

Summit Sports AG · D365FO Implementation

ClientSummit Sports AG
HQZürich, Switzerland
SystemMicrosoft D365FO
ScopeSCM · WMS · Manufacturing
Go-Live TargetQ2 2027 — Phase 1
ConsultancyAiyona
SeriesAI in ERP · LinkedIn

01 · Client profile

SUMMIT SPORTS AG

SUMMIT SPORTS AG

"Engineered for the top. Built to go further."

€920M
Annual Revenue
3,400
Employees
28
Countries
1989
Founded
HeadquartersZürich, Switzerland
Manufacturing sitesLisbon PT · Ho Chi Minh VN · Monterrey MX
Distribution centresRotterdam NL · Newark NJ · Singapore SG
Retail stores142 stores across Europe, NA, APAC
ProductsOutdoor apparel, footwear, technical equipment
Current ERPSAP ECC 6.0 — end of support Dec 2026
Why D365FOSingle global instance, better SCM visibility, Microsoft ecosystem
Key challengeComplex multi-site manufacturing + seasonal demand spikes

02 · Implementation scope

WHAT WE'RE BUILDING

MODULE 01

Supply Chain & Procurement

  • →Purchase requisitions & PO management
  • →Vendor management & RFQ process
  • →Procurement policies & approval workflows
  • →Intercompany purchasing (CH → NL → VN)
  • →Landed cost & import duties
MODULE 02

Warehouse Management (WMS)

  • →Rotterdam DC as pilot warehouse
  • →Inbound receipts & put-away strategies
  • →Wave & cluster picking
  • →Outbound shipping & packing stations
  • →Mobile device scanning (RF guns)
MODULE 03

Manufacturing

  • →Bill of Materials (BOM) management
  • →Production orders & scheduling
  • →Route & operations setup
  • →Subcontracting (Lisbon site)
  • →Batch tracking for materials
OUT OF SCOPE

Phase 2 (2027–2028)

  • →Finance & accounting modules
  • →Retail / POS integration
  • →US & APAC rollout
  • →E-commerce integration
  • →HR & Payroll

03 · Project team

THE CAST

Fictional characters. Use consistently across all content posts for continuity.

AIYONA
Boutique ERP Consultancy
Aiyona is a boutique Microsoft D365 consultancy founded by Natassha Young. For Project ELEVATE, Natassha assembled a dedicated team exclusively for Summit Sports AG — handpicked specialists in SCM, WMS, and Manufacturing. No shared resources, no bench rotation. The team works as an extension of the client.

Client side — Summit Sports AG

MR
Marco Reinhardt
IT Director · Project Sponsor
Client
SK
Sandra Keller
Head of Supply Chain · Key User Lead
Client
LP
Luca Pinto
Warehouse Manager · Rotterdam DC
Client
AV
Amira Volkov
Procurement Manager
Client

Consulting team — Aiyona

NY
Natassha Young
Founder · D365FO SCM & WMS Lead · Aiyona
That's you
RT
Rafael Torres
Solution Architect · D365FO · Aiyona
Aiyona
JD
James Dolan
Project Manager · Aiyona
Aiyona
NF
Nina Fischer
D365FO Manufacturing Consultant · Aiyona
Aiyona

03b · The Aiyona CMO platform

THE CENTER OF THIS IMPLEMENTATION

Aiyona · Proprietary Platform
CMO PLATFORM

The Client Management Office (CMO) platform is Aiyona's AI-powered project oversight hub — the single interface where every stream of the implementation converges. It connects Azure DevOps, Microsoft Teams, and project email into one live dashboard, giving both the Aiyona team and the client sponsor real-time visibility without manual reporting. This is the value that makes Aiyona different.

Feature 01
Live Project Dashboard
Real-time sprint progress, open work items, and milestone status — pulled directly from Azure DevOps. Marco Reinhardt sees the same board as the Aiyona team, always up to date.
Feature 02
AI Status Reports
Every Friday the CMO platform generates an AI-written weekly status report from DevOps data — progress, risks, decisions, next sprint. Sent automatically to Marco and the Aiyona team. Zero manual effort.
Feature 03
Risk Radar
AI monitors DevOps work items for overdue tasks, blocked items, and unresolved risks. Flags are surfaced in the CMO dashboard before they become problems. No surprises at steering committees.
Feature 04
Decision Log
Every decision made in Teams or email tagged [ELEVATE] is captured, structured by AI, and logged automatically. Full traceability from day 1 to go-live.
Feature 05
Document Hub
All FDDs, charters, test scripts, and training docs are indexed and searchable inside the CMO platform. Linked to DevOps work items. The full implementation library in one place.
Feature 06
Client Portal
Marco Reinhardt accesses his own CMO view — project health, latest deliverables, open decisions awaiting his input — without needing a status call or waiting for a report.
What feeds the CMO platform
ADO
Azure DevOps
Sprint boards, work items, risks, repos, wiki
TMS
Microsoft Teams
Project ELEVATE channel · meeting notes · decisions
EMAIL
Email · [ELEVATE]
All tagged emails auto-parsed and logged
AI
AI Layer
Claude + Copilot for reports, risk flags, summaries

04 · Project timeline

ROAD TO GO-LIVE

Phase 01 — NOW
Kickoff & Discovery
June – July 2026 · 6 weeks
Project charterStakeholder interviewsAS-IS process mappingData inventory
Phase 02
Fit/Gap & Design
Aug – Oct 2026 · 10 weeks
Fit/gap workshopsFDDsSolution designGap decisions
Phase 03
Build & Configuration
Nov 2026 – Jan 2027 · 12 weeks
D365 configurationIntegrationsData migration prep
Phase 04
Testing & Training
Feb – Mar 2027 · 8 weeks
UAT scriptsTraining materialsCutover plan
Phase 05
Go-Live · Phase 1 (CH + NL)
April 2027
HQ ZürichRotterdam DCLisbon manufacturing

05 · Content series — LinkedIn episodes

THE EPISODES

Each post = one real consulting task + the AI-generated deliverable as the attachment. One post per week.

01
Introducing Project ELEVATE — and why I'm documenting everything with AI
Series launch post. Introduce Summit Sports AG, the project scope, and why you're using AI tools throughout. No deliverable yet — just the hook.
02
I used Claude to write the Project Charter in 25 minutes
Prompt: scope, objectives, risks, stakeholders, constraints. Share the actual PDF. Show the prompt you used.
03
AI-generated Kickoff Meeting Agenda — for a global D365FO project
The full agenda you'd send to Marco and Sandra. Sections: introductions, scope walkthrough, ways of working, open questions. Share as PDF.
04
I mapped Summit's AS-IS procurement process using AI — here's what came out
Describe the current SAP process to Claude, ask for an AS-IS process document with swim lanes narrative. Share the document.
05
Fit/Gap session prep — I asked AI to anticipate the gaps before the workshop
Prompt Claude with Summit's procurement requirements and ask for likely D365FO fit/gap items. The output becomes your prep document.
06
Full FDD written with AI — Purchase Order Approval Workflow for Summit Sports
Classic FDD: overview, business requirements, D365 config notes, open questions. Share the actual Word/PDF document.
07
D365FO threw an error during WMS config — I asked Copilot to explain it
Take a real D365 WMS error (location directive, wave template, etc). Show Copilot/Claude explaining it and the fix. Screenshot format.
08
Configuring Rotterdam's warehouse in D365 — I used AI to write the config guide
Warehouse setup: sites, warehouses, location types, zones. AI-generated configuration document + your actual D365 screenshots.
09
I wrote a full UAT test script for WMS receiving — with AI, in 30 minutes
Test scenario: inbound PO receipt at Rotterdam DC. Steps, expected results, pass/fail criteria. Share the script as a usable template.
10
End user training document for Summit's warehouse team — AI-generated, ready to use
Training guide for Luca's team at Rotterdam: how to receive goods in D365 WMS using RF scanner. Step-by-step with screenshots.
11
Difficult client email — I used AI to help me write it (and it was better than mine)
Marco pushes back on timeline. Show the situation, your first draft, the AI-improved version. Honest, relatable content.
12
6 weeks in — what AI actually saved me on Project ELEVATE (with receipts)
Wrap-up of discovery phase. List every deliverable, how long it took with AI vs estimate without. Honest data. Strong engagement post.

06 · Post formula

EVERY POST FOLLOWS THIS STRUCTURE

LINE 1 · Hook Bold result or surprising fact
→ "I wrote a 12-page FDD in 28 minutes. Here's the actual document."
LINE 2 · Context One sentence on the task / situation
→ "We're in discovery on Project ELEVATE — a global D365FO rollout for Summit Sports AG."
LINES 3–8 · The how What you did, what AI tool, what prompt approach
→ "I described the business requirement to Claude and asked for a structured FDD with..."
LINE 9 · Honest take What AI did well / what you still had to fix yourself
→ "It got 90% there. I adjusted the D365-specific config notes — that still needs your expertise."
CLOSE · CTA Question or follow prompt
→ "Document attached. What task should I do next on AI on this project?"

07 · First post — ready to publish

EPISODE 01 · LAUNCH POST

NY
Natassha Young · D365FO Consultant · Founder @ Aiyona
Just now · 🌐
I'm starting something I haven't seen anyone else do in the D365 space. I'm going to document an entire ERP implementation — from kickoff to go-live — using AI tools at every step. Every. Single. Step. Meet Project ELEVATE. The client: Summit Sports AG — a fictional global sports brand, HQ in Zürich, manufacturing in Portugal and Vietnam, distribution centres in Rotterdam, New Jersey and Singapore. The scope: Supply Chain, Warehouse Management, and Manufacturing on D365FO. The system they're replacing: SAP ECC 6.0 — end of support coming. The challenge: seasonal demand spikes, multi-site complexity, and an 18-month clock. Here's what I'll be sharing every week: → The actual deliverables I produce using Claude, Copilot, and other AI tools → The prompts I used (no black boxes) → How long it took vs how long it would have taken me without AI → Where AI fell short and I had to step in as the expert Project charters. FDDs. Fit/gap analyses. Warehouse config guides. Training documents. Client emails. Error fixes. All of it. No blur. No theory. Just real consulting work, done with AI, shared openly. I'm a D365 functional consultant and founder of Aiyona — not a developer, not a data scientist. If I can do this, so can you. Episode 02 drops next week: I used Claude to write the Project Charter in 25 minutes. Spoiler — it was better than my first draft. Follow along if you work in D365, ERP, or just want to see what AI actually looks like in a real consulting context. 👇 What deliverable are you most curious to see first? Drop it below.
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Tip: This first post has no attachment — that's intentional. Pure narrative, pure hook. It sets up every future post. Episode 02 is where you drop the first real document and the format becomes clear to your audience.