Read how we build reliable integrations and custom systems to optimize operations for modern product teams.
Built for a Mid-Market Logistics Provider
A shipping firm was dealing with large ticket backlogs during seasonal spikes. Customers faced 12-hour response delays for standard tracking status updates, invoice requests, and scheduling edits, straining support staff.
We engineered an autonomous AI agent integrated directly with their Zendesk CRM and internal database APIs. Trained on shipping manuals, the system answers common inquiries instantly and passes complex disputes to staff.
The system resolved 74% of inbound support tickets automatically. Average customer response time fell from 12 hours to under 30 seconds, lowering support overhead costs by 45%.
Built for a B2B SaaS Platform
The sales team was bogged down qualifying thousands of raw marketing form submissions. Real sales opportunities were lost in the queue, while reps spent hours verifying contact emails and firm sizes.
We deployed an automated pipeline that queries Clearbit, scrapes firm websites, and scores lead priority. High-score leads are immediately assigned to account executives with a summary dashboard, while low-score leads receive automated nurture emails.
Form-to-meeting scheduling conversion rates increased by 3.5x. The sales team saved 20+ hours per week in manual qualification labor, resulting in an immediate boost in closed deals.
Built for an E-Commerce Brand
A fast-growing e-commerce brand struggled with stock-outs of popular items and overstocking slow items. They also lacked custom triggers to prompt customers when they were likely running low on supply.
We structured a statistical forecasting model linking Shopify sales records, warehouse storage status, and customer purchase histories. The system notifies inventory teams of replenishment orders and prompts buyers with refills.
Stock-outs dropped by 90%. The custom follow-up refill alerts boosted client repeat purchase rates by 22%, increasing customer lifetime value across key products.
Built for a Market Research Firm
Analysts spent hours searching through thousands of PDF market reports, meeting notes, and spreadsheets to synthesize findings for client briefs, slowing report generation.
We built a secure semantic search tool. The system extracts text from PDF and DOCX files, chunks data, generates embeddings, and indexes them in a local vector database. Analysts query in plain English and receive instant synthesized answers.
Document retrieval and research synthesis time fell by 80%. The analysts could compile a client research draft in 1 hour instead of 5 hours, while maintaining data security.
Consult directly with our systems engineers to evaluate the ROI and technical design for your custom automation build.
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