Demand Forecasting Dashboard
FreightFlow Logistics (Mid-Market)
The Challenge
Erratic demand forecasting causing 18% overstock & 22% delayed shipments.
Team Composition
Data Management & ML Forecasting Team – 4 People (PM, Data Eng, Data Cleaner, ML Engineer)
Timeline
Start → 2-Week Discovery; MVP → 6 Weeks; Production → 12 Weeks
Deliverables
- ETL pipeline for historic shipment & sales data
- Forecasting model with retraining pipeline
- Dashboard (Power BI) with daily forecasts & exceptions
- Weekly roll-ups & playbooks for warehouse ops
SLAs Guarantees
- Start time: Team live within 10 business days of deposit
- Uptime SLA: Dashboard 99.5% (excludes scheduled maintenance)
- Data refresh SLA: Daily pipeline completes within 2 hours of ETL window
- Support response: Critical (P1) within 1 hour; P2 within 4 hours
- Replacement: Any team member replaced within 7 business days
Outcome (Numbers)
- Forecast accuracy improved from 62% → 84% (12-week mark)
- Overstock reduced by 14 percentage points → ~$125k/year savings
- On-time shipments improved by 22% in two months
- Client ROI: break-even within 4 months
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Patient Intake Automation (HIPAA-Aware)
MediCare Clinics (Regional Chain)
The Challenge
Manual intake forms created 20–30% admin delays; patient no-shows remained high.
Team Composition
Automation & Integration Team – 4 People (PM, Integration Eng, DevOps, QA) + HIPAA Consultant (Contracted)
Timeline
Start → 7 Days; Pilot → 4 Weeks; Rollout → 10 Weeks
Deliverables
- Secure patient intake web form integrated with EHR via HL7/FHIR adapter
- Automated reminders (SMS/Email) tied to appointment lifecycle
- Reporting on no-shows and time-to-triage
SLAs Guarantees
- Compliance: Signed BAAs & HIPAA-compliant hosting (data stored by region per client request)
- Response SLA: P1 within 30 minutes; P2 within 4 hours
- Security: Quarterly vulnerability scans; 24/7 monitoring
- Data retention & deletion: Configurable; default 7 years for medical records
- Replacement: Role replacement within 10 business days
Outcome (Numbers)
- No-show rate reduced from 21% → 9% within 8 weeks
- Patient intake processing time reduced by 60%
- Estimated administrative savings: $90k/year across 6 clinics
- Compliance: audit-ready state achieved within 10 weeks
MVP Build & Seed Pitch (Web + Mobile)
FinStart (Early-Stage Fintech)
The Challenge
Founder needed an investor-ready MVP in 8–10 weeks with a limited hiring budget.
Team Composition
Full-Stack Web Team + Mobile Team + PM
(Total 6 People)
Timeline
Kickoff → 3 Days; MVP Launch → 8 Weeks
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Deliverables
- Web app (React/Next) + basic backend APIs (Node/FastAPI)
- Mobile light client (React Native) for demo
- CI/CD pipeline & simple analytics
- Pitch-ready demo & recorded walkthrough
SLAs Guarantees
- Start time: 72 hours after contract signature
- Milestones: Weekly sprint demos; acceptance gates at weeks 2, 4, 6, 8
- Bug SLA: Critical bugs fixed within 48 hours during sprint; 7-day patch SLA in maintenance
- Handover: Source code + docs delivered; optional escrow
Outcome (Numbers)
- MVP delivered in 8 weeks and demoed to investors
- Client raised $750k seed within 2 months after demo
- Development cost saved ~72% vs in-house estimate (first 6 months)
- Time-to-market reduced by ~3 months compared with hiring plan
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Personalization & Conversion Lift
Retailify (Online Retailer)
The Challenge
Low conversion rate (CR 1.6%) and poor product-recommendation relevance.
Team Composition
Data Science + Digital Growth Team — 5 People
(PM, Data Eng, ML Eng, Growth Marketer, Frontend Dev)
Timeline
Start → 7 Days; A/B Experiments → 4 Weeks; Rollout → 10 Weeks
Deliverables
- Personalization engine (real-time recommendations)
- A/B testing framework and 8 conversion experiments
- Email & onsite personalization flows
SLAs Guarantees
- Experiment cadence: ≥ 2 experiments per sprint (2-week sprints)
- 99% API availability for recommendations
- Data latency: recommendations generated in <300ms (avg.)
- Support: P1 within 1 hour; P2 within 4 hours
Outcome (Numbers)
- Conversion rate improved from 1.6% → 2.6% (+62% relative)
- Average Order Value (AOV) up 18% via cross-sell
- Monthly incremental revenue ≈ $45k within 3 months
- ROI: paid for itself within 8 weeks
Reconciliation Automation & Risk Alerts
LedgerPro (Mid-Size Finance Team)
The Challenge
Manual reconciliation consumed 3 FTEs; risk of missed anomalies.
Team Composition
Automation & Analytics Team — 4 People (PM, Data Eng, Automation/RPA, Analyst)
Timeline
POC → 3 Weeks; Production → 8 Weeks
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