Case Studies — ModelPilot AI

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Stackly

Series A SaaS·San Francisco·120 employees

"We replaced a $2k/mo Intercom plan with ModelPilot in one afternoon. Our support bot now resolves 78% of tickets automatically — and our team finally has time to ship features again."

J

Jake Rivera

CTO & Co-founder

The challenge: Stackly's 4-person support team was drowning. Intercom AI was answering 30% of tickets, but at $2,000/mo, the ROI didn't justify scaling further. They needed a bot trained on their product docs — fast.

The solution: Connected GPT-4o + Claude 3.5 fallback. Uploaded 120 pages of help docs. Configured a Support Agent with human handoff at 0.75 confidence. Embedded the widget in 2 hours.

The result: Within 30 days, 78% of tickets were resolved without human touch. The 4-person team now handles only complex escalations — and Stackly closed a $2.4M ARR milestone two months ahead of plan.

Monthly savings vs Intercom

$23,400

Across support stack consolidation

↑ $280k annualized

Ticket deflection

78%

↑ from 30%

Setup time

4hrs

vs 3-week sprint

First-response time · 30-day trend

12min → 8sec

G

Glossly

D2C Beauty Brand·Shopify Plus·40 employees

"Our Shopping Stylist bot increased AOV by 34% in the first month. It's like having our best in-store associate available 24/7 — and customers love that it remembers their preferences."

A

Anaïs Pereira

Head of E-commerce

The challenge: 67% of Glossly's site visitors browsed without buying. Their support team was overwhelmed with skincare questions, shade matching, and ingredient queries. Cart abandonment was 71%.

The solution: Deployed the Shopping Stylist template with GPT-4o Vision for shade-matching uploads. Connected to Shopify Storefront API for live inventory. Trained on product catalog + ingredient encyclopedia.

The result: Cart abandonment dropped to 52% in 4 weeks. Average order value rose 34% — driven by personalized "complete the look" recommendations the bot makes mid-checkout.

Average Order Value · 30-day trend

+34%

From $47.20 → $63.25 per order

Cart abandonment

52%

↓ from 71%

Conversion rate

4.8%

↑ 2.3× lift

Monthly revenue from bot-assisted carts

$184K

12% of total Q2 e-commerce revenue · attributed via session replay

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Chatlytics

Conversational AI Agency·Mumbai·15 employees

"The LiteLLM routing means we can swap models per client when their priorities change. We've onboarded 23 clients in 4 months — that would've taken us a year on our old custom stack."

P

Priya Kapoor

Founder & CEO

The challenge: Chatlytics built custom chatbots for SaaS clients. Each deployment took 6 weeks of engineering — knowledge ingestion, RAG setup, widget customization, analytics dashboards. They could only onboard 2 clients per quarter.

The solution: Adopted ModelPilot as their white-label platform. Each client gets their own workspace with custom branding. Used the API to build a Chatlytics-branded admin layer on top.

The result: Onboarding time dropped from 6 weeks to 4 days. Margins improved from 18% to 67%. They scaled from 6 to 23 clients in one quarter without hiring.

Clients onboarded

23

↑ from 6 in Q1

Time per deployment

4days

↓ from 6 weeks

Gross margin · before vs after

18% → 67%

Engineering cost per client dropped from $24k to $2.8k

Annual recurring revenue

$1.4M

From $260k pre-ModelPilot · 5.4× in 12 months

M

MintHR

HR Tech B2B·London·340 employees

"Our internal HR bot answers 2,400 questions a week — PTO, benefits, payroll. Our 5-person People Ops team got their time back to actually do people ops, not policy lookups."

D

Damian O'Brien

VP of People

The challenge: MintHR's People Ops team spent 60% of their week answering repetitive HR questions — PTO policies, expense reports, benefits enrollment, parental leave. New hires generated the most volume.

The solution: Deployed the HR Partner template inside Slack with SSO via Okta. Indexed 240+ policy documents. Configured RBAC so engineers couldn't see exec-only docs. Trained over a weekend.

The result: 2,400+ queries answered per week. People Ops time freed up by 47%. Now used for L&D programs and retention initiatives. Employee NPS rose from 7.2 to 8.6 in two quarters.

Weekly queries auto-answered

2,400+

Across PTO, benefits, payroll, expenses, parental leave

People Ops time saved

47%

≈ 24 hrs/wk

Employee NPS

8.6

↑ from 7.2

First-question response time

36hrs → 4sec

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