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Deloitte · consulting-deck

Foodservice Market Monitor

42 pages · 3 arc beats · 7 loops

Consulting-Deck Download JSON
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Foodservice Market Monitor

Deloitte
arc beats above · slides in the middle · loops below · scroll → 7 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 2
— No image bound to this slide. Wire up imgproxy to display the rendered slide JPEG.
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Deck intelligence map

3
coverage by narrative range · generated from this deck JSON
Narrative range 35 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
The Facts (What) 19 slides 100% 19/19 slides 100% 19/19 slides · 103 hits
— 0/19 slides
84.2% 16/19 slides · 45 hits 10.5% 2/19 slides 100% 19/19 slides · 38 hits 73.7% 14/19 slides The Implications (So What) 8 slides 100% 8/8 slides 100% 8/8 slides · 59 hits
— 0/8 slides
87.5% 7/8 slides · 20 hits 25% 2/8 slides 100% 8/8 slides · 15 hits 87.5% 7/8 slides The Action (Now What) 8 slides 100% 8/8 slides 100% 8/8 slides · 53 hits
— 0/8 slides
87.5% 7/8 slides · 22 hits 25% 2/8 slides 100% 8/8 slides · 15 hits 100% 8/8 slides

Slide inventory

42
every slide · same image gating as the playbook
01
Slide 1
front_matter
Open slide detail
02
summarize
Open slide detail
03
summarize
Open slide detail
04
front_matter
Open slide detail
05
front_matter
Open slide detailBeat · The Facts (What)
06
The chart uses a dual-line approach to contrast local Italian performance against a global benchmark.summarize
Open slide detailBeat · The Facts (What)
07
The chart uses a Marimekko-style approach where bar widths represent the geographic market size and segments represent the restaurant type mix.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
08
Includes a specific row for Italian FS market performance.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
09
The chart uses a break in the x-axis between 2016 and 2019. Includes a callout box summarizing the 23-24 growth trends.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
10
The chart highlights Italy with a light blue background and includes a legend for restaurant types.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
11
The charts use bubble size to represent market size/population. Italy is highlighted in green.compare_peers
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
12
The chart uses a broken axis (indicated by //) between 2016 and 2019.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
13
Includes CAGR and YoY growth metrics for three segments across different time periods.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
14
transition
Open slide detailBeat · The Facts (What)
15
The chart highlights the impact of Covid-19 and subsequent recovery. Includes a table-like summary of CAGR and YoY growth on the right.analyze_data
Open slide detailBeat · The Facts (What)Loop · Tale Two Worlds
16
The chart highlights Italy's high fragmentation (90% independent) compared to the global average (65% independent).analyze_data
Open slide detailBeat · The Facts (What)Loop · Tale Two Worlds
17
The chart uses a grouped bar format with annotations showing the percentage point difference between chains and independents.analyze_data
Open slide detailBeat · The Facts (What)Loop · Tale Two Worlds
18
The slide uses a stacked bar chart to show market share composition and a data table for CAGR metrics.analyze_data
Open slide detailBeat · The Facts (What)Loop · Tale Two Worlds
19
The slide uses a stacked bar chart approach to compare market share by ownership type (Independent vs Chains) across different geographies.analyze_data
Open slide detailBeat · The Facts (What)Loop · Tale Two Worlds
20
front_matter
Open slide detailBeat · The Facts (What)
21
Notes: Italian cuisines mainly considers full service restaurants and fine dining formats (excluding street food, cafés and fast food). Source: Deloitte Italiansize_opportunity
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
22
The chart highlights Italy as a standout market with 79% penetration. Data includes market size in Billion € and percentage splits.analyze_data
Open slide detailBeat · The Facts (What)Loop · Pattern Hunter
23
front_matter
Open slide detailBeat · The Facts (What)
24
summarize
Open slide detailBeat · The Implications (So What)Loop · Aha Moment
25
The chart uses a 3-month moving average to smooth data fluctuations.analyze_data
Open slide detailBeat · The Implications (So What)Loop · Aha Moment
26
The slide uses a three-column layout to categorize industry responses into Labor Shortage, Industry Digitalization, and Experiential Shift.summarize
Open slide detailBeat · The Implications (So What)Loop · Aha Moment
27
The chart shows a divergence starting in 2019 where labor costs continue to rise while market performance dipped and recovered more slowly.diagnose
Open slide detailBeat · The Implications (So What)Loop · Aha Moment
28
front_matter
Open slide detailBeat · The Implications (So What)
29
The slide defines the scope of M&A analysis (Financial vs Industrial bidders) and provides a stacked bar chart of deal counts by region.establish_context
Open slide detailBeat · The Implications (So What)Loop · Pattern Hunter
30
The slide uses stacked bar charts to show deal composition and growth trends.analyze_data
Open slide detailBeat · The Implications (So What)Loop · Pattern Hunter
31
The chart uses a treemap-style visualization to show deal counts across segments.analyze_data
Open slide detailBeat · The Implications (So What)Loop · Pattern Hunter
32
front_matter
Open slide detail
33
Includes a break in the x-axis between 2024 and 2025E.analyze_data
Open slide detailBeat · The Action (Now What)Loop · Time Machine
34
Includes a CAGR comparison table for two periods (19-24 and 24-29).analyze_data
Open slide detailBeat · The Action (Now What)Loop · Time Machine
35
The chart uses a broken axis between 2019 and 2024.analyze_data
Open slide detailBeat · The Action (Now What)Loop · Time Machine
36
The chart uses a broken axis between 2019 and 2024. CAGR data is provided for two periods: 19-24 and 24-29.analyze_data
Open slide detailBeat · The Action (Now What)Loop · Time Machine
37
illustrate_case
Open slide detailBeat · The Action (Now What)Loop · Quick Win Big Bet
38
front_matter
Open slide detailBeat · The Action (Now What)Loop · Quick Win Big Bet
39
The slide describes a data collaboration platform (Clean Room) between AIGRIM, Deloitte, and CNCC.present_solution
Open slide detailBeat · The Action (Now What)Loop · Quick Win Big Bet
40
The slide acts as a summary of the 'Observatory' report structure, detailing the methodology (Bottom-Up, Clean Room) and the scope of analysis.summarize
Open slide detailBeat · The Action (Now What)Loop · Quick Win Big Bet
41
other
Open slide detail
42
other
Open slide detail