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Success Stories

Client Success

Real Results from Real Businesses

Explore how our clients across industries are transforming operations, cutting costs, and accelerating growth with Planext AI automation.

150+
Clients Served
$28M+
Client Revenue Generated
80%
Avg. Manual Task Reduction
6 Wks
Avg. Time to First ROI

Deep-Dive Client Stories
Full breakdowns of the challenges, solutions, and measurable outcomes Planext delivered.
B2B SaaS · Content Marketing

340% Lead Growth: AI Content Engine for a B2B Software Company

A Toronto-based SaaS company was struggling to produce enough content to compete for organic search traffic. Planext deployed an AI content pipeline that automated research, drafting, SEO optimization, and publishing — turning one writer into a 10-writer equivalent output.

340%
Lead growth in 90 days
Content volume increase
61%
Reduction in content costs

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Manufacturing · Operations

Eliminating 1,200 Monthly Manual Hours at a Manufacturing Firm

A mid-size Ontario manufacturer was spending 1,200+ hours per month on manual data entry, purchase order processing, and inventory reconciliation. Planext automated the entire workflow stack — from supplier POs to ERP updates — with zero system replacement required.

1,200
Hours saved monthly
$340K
Annual cost savings
99.2%
Data entry accuracy

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Logistics · Sales

280% Pipeline Growth: AI Lead Qualification for a Logistics Giant

A national logistics company had a high volume of inbound leads but no consistent qualification process. Sales reps were spending 60% of their time on prospects who never converted. Planext deployed an AI lead scoring and qualification system that changed that ratio entirely.

280%
Qualified pipeline growth
3.2×
Sales team productivity
55%
Reduction in sales cycle

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eCommerce · Customer Support

How a Toronto eCommerce Brand Cut Support Costs 60% With AI

A fast-growing Shopify brand was drowning in support tickets — 800+ per week — and hiring more agents wasn’t keeping up. Planext deployed an AI voice and chat agent that handled 73% of tickets autonomously, with seamless escalation for complex cases.

60%
Support cost reduction
73%
Tickets resolved by AI
4.8★
Post-AI CSAT score

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What Our Clients Say
Hear directly from the business leaders who’ve seen the results firsthand.
★★★★★

“Planext transformed our sales operations in 6 weeks. We’re generating 3× more qualified conversations with the same team. The ROI was obvious within the first month.”

MR
Michael R.
VP Sales, B2B SaaS Company

★★★★★

“We were skeptical that AI could handle our complex manufacturing workflows — we were wrong. Planext eliminated over 1,000 hours of manual work per month without touching our existing systems.”

SK
Sandra K.
COO, Ontario Manufacturing Firm

★★★★★

“Our content team was burning out trying to keep up with the publishing schedule our SEO strategy required. Planext’s AI content engine let us 4× our output while actually cutting costs.”

JL
Jessica L.
Head of Marketing, SaaS Startup

★★★★★

“The AI support agent handles 73% of our tickets with better resolution times than our human team averaged. Our CSAT actually went up. I didn’t believe it was possible until I saw the numbers.”

DM
David M.
Founder, eCommerce Brand

★★★★★

“Planext’s onboarding was the smoothest vendor experience I’ve had in 15 years. They mapped our processes, built the automations, and had us live in 5 weeks. Their team is responsive and genuinely invested in our success.”

AB
Amanda B.
CEO, Professional Services Firm

★★★★★

“We replaced a $180K offshore data processing team with Planext AI workflows. The quality improved, the speed improved, and we reallocated that budget to growth. It’s been a game changer for our margins.”

TP
Tom P.
CFO, Logistics Company

How Planext Delivers Results
1

Discovery Audit

We map your current processes, identify automation opportunities, and build a prioritized roadmap based on ROI potential.

2

Custom Build

Our engineers build your AI automation system — connected to your existing stack, not replacing it.

3

Launch & Train

We go live with full monitoring, train your team, and handle any edge cases in the first 30 days.

4

Optimize & Scale

Continuous improvement cycles ensure your AI systems get smarter and handle more volume over time.