Concrete examples of how MahiSys has applied AI and integration to solve operational challenges across five industries — with measurable results.
From sensor data to supply chain compliance — AI that works on the farm floor.
A 1,200-cow dairy operation struggled to detect early signs of mastitis and lameness, leading to costly veterinary interventions and milk discard events.
Manual feed scheduling resulted in inconsistent milk yields and over-purchasing of feed concentrates, inflating operational costs by an estimated 14%.
Intelligent automation that puts your sales team where they matter most — in front of the right prospects.
A B2B SaaS company's sales team was spending 60% of their time on leads that never converted, with no reliable way to predict which prospects were genuinely ready to buy.
Quarterly forecasts were consistently inaccurate by ±35%, making resource planning and investor reporting unreliable. Sales managers relied on gut feel rather than data.
AI that processes thousands of applications accurately, fairly, and fast.
A logistics company receiving 2,000+ applications per month for warehouse and driver roles. Recruiters were spending 3 hours per role just on initial screening, with no consistency.
Coordinating interview slots between candidates, hiring managers, and panel interviewers was consuming 30% of recruiter bandwidth and causing candidate drop-off from scheduling friction.
AI operations that keep your kitchen fast, your inventory lean, and your franchises aligned.
A 40-location QSR chain was experiencing peak-hour bottlenecks causing order delays above their 4-minute target, leading to increased refunds and negative reviews.
Manual inventory ordering caused weekly waste events and frequent stock-outs of top-selling items — particularly on high-traffic days that weren't being anticipated.