Case Studies

Outcomes, not pitch-deck promises.

A snapshot of recent Mudish engagements across hospitality, legal, entertainment, AI startups, retail, and Amazon DSP operations. Each entry includes the starting state, what we built, and the measurable outcome.

500+Projects delivered across commercial and federal
99.9%Uptime maintained across production deployments
6 verticalsFrom hospitality to Amazon DSP operations
5+ yearsProven track record across global teams
Industries we serve

Smart solutions, diverse industries.

Details below are representative — customer names and specific numbers are available under NDA. Reach out and we'll walk you through the ones closest to your shape of problem.

hotel
Hospitality

Hospitality

Multi-property operator · North America

Modernized the guest-experience stack for a multi-property operator — unified booking, housekeeping, and loyalty data into a single operational view, and launched a voice agent for after-hours front-desk coverage.

Salesforce Marketing CloudTwilio VoiceSnowflakedbt
What shipped
  • trending_up32% reduction in after-hours staffing cost with no drop in guest-satisfaction scores
  • trending_upUnified loyalty + booking data across 14 properties behind a single semantic layer
  • trending_upVoice agent containment of 71% on tier-1 guest requests (WiFi, housekeeping, early check-in)
gavel
Leading Law Firm

Leading Law Firm

AmLaw 200 firm · U.S. practice

Built an intake-to-matter automation layer for a leading litigation practice — standardized client onboarding, document classification, and conflicts checks with a LLM-assisted review queue supervised by counsel.

iManageAzure OpenAIMicrosoft GraphPower Automate
What shipped
  • trending_upNew-matter intake time cut from 3 days to under 6 hours
  • trending_up100% of incoming engagement letters parsed with audit-ready provenance
  • trending_upConflict-check precision improved while review volume dropped by 45%
theaters
Entertainment

Entertainment

Streaming & events platform · Global

Delivered a personalization and attribution rebuild for an entertainment platform — unified customer data across ticketing, streaming, and merch, and stood up an attribution model tied to Marketing Cloud journey activation.

Adobe Experience PlatformAdobe AnalyticsContentfulSegment
What shipped
  • trending_up2.4× lift in repeat-attendance rate from personalized re-engagement journeys
  • trending_upAttribution coverage grew from 61% to 94% of paid media spend
  • trending_upTime-to-campaign dropped from 9 days to under 36 hours per launch
bolt
AI Startups

AI Startups

Series A & B founders · United States

Fractional engineering for early-stage AI founders — production-ized research prototypes, added evaluation harnesses, and built the MarTech layer required to actually ship the product to design-partners and first customers.

Anthropic ClaudeOpenAINext.jsPostgres + pgvector
What shipped
  • trending_upShipped 4 production AI products in under 90 days on average
  • trending_upIntroduced evaluation harnesses that caught regressions in 100% of launched features
  • trending_upActivation-to-retention improved ~2× versus the pre-engagement baseline
storefront
Retail

Retail

Omnichannel retailer · North America

Stood up a composable commerce front-end and an AI-assisted merchandising workflow — catalog enrichment, on-site search re-ranking, and support-center automation — for a multi-brand retailer.

ShopifyAlgoliaContentfuldbt
What shipped
  • trending_up18% lift in conversion on AI-re-ranked search pages (holdout-controlled)
  • trending_upCatalog-enrichment cycle time dropped from 11 days to 2 days per brand
  • trending_upSupport deflection at 46% within 60 days of launch
local_shipping
Amazon DSP Operations

Amazon DSP Operations

Multi-station Delivery Service Partner · United States

Mudish-owned Excelerate delivery team ran end-to-end ops for an Amazon Delivery Service Partner — onboarding, fleet, payroll, and the full migration from Fountain to Amazon-mandated SmartRecruiter.

SmartRecruiterCortexADP / PaycomAmazon Flex
What shipped
  • trending_up50% reduction in cost-per-hire through DrivExcel + SmartRecruiter
  • trending_upFantastic / F+ safety scores climbed into the top quartile within one quarter
  • trending_upZero-surprise SmartRecruiter go-live across all roles in 3 weeks
Spotlight · Amazon DSP

10 operational wins DSPs actually feel.

From driver onboarding to payroll, these are the measurable wins Mudish delivers to Amazon Delivery Service Partners through the Excelerate operations team.

See the SmartRecruiter migration packagearrow_forward
  • 01Reduce hiring cost and scale driver onboarding with optimized job postings, candidate screening, and end-to-end onboarding support.
  • 02Increase driver availability and peak-season readiness through continuous candidate pipeline management.
  • 03Improve safety and compliance through real-time monitoring, automated coaching alerts, and weekly scorecards.
  • 04Boost Fantastic & F+ scores with proactive dispatch and safety oversight — unlocking bonus routes.
  • 05Cut labor and operational expense by outsourcing dispatch, onboarding, fleet, and payroll.
  • 06Maximize fleet uptime and reduce damage cost with smart digital inspection tools and proactive maintenance.
  • 07Run accurate, compliant, on-time payroll with daily punch auditing, overtime control, and ADP/Paycom setup.
  • 08Eliminate revenue leakage and payroll errors through invoice validation, bookkeeping, and financial reporting.
  • 09Reduce managerial burnout by offloading admin, compliance, and operational tasks.
  • 10Scale confidently through peak season with 24/7 operational coverage and Amazon-DSP-tuned SOPs.

Have a problem shaped like one of these?

Tell us what you're up against. We'll share the closest reference engagement, what the plan looked like, and what we'd do differently today.