Five implementation cases with Lattice, SalesHub and Nahui across real sectors in Mexico. Problem identified, solution deployed, measurable result.
Real operations data
Implementations in Mexico
Verifiable results
< 2 min
first response
Industry · Energy
−35%
no-shows
Industry · Health
−40%
classification errors
Industry · Logistics
+28%
repurchase rate
Industry · E-Commerce
−22%
fuel consumption
Industry · Government
Documented implementations
Filter by industry to see the case that applies to your operation.
Energy
Key metric
< 2 min
first response
Caso 01/Solar Energy Company
Solar Energy Company
Applied solutions:SalesHubLattice
Problem
Leads captured through digital channels with no structured follow-up. First response time: 24 to 48 hours. Competitors responded in minutes, causing loss of qualified opportunities.
Solution
Deployment of AI SDR agents via WhatsApp integrated with SalesHub. Automatic lead qualification, response in under 2 minutes, automated follow-up and escalation to the sales team when the lead reaches conversion score.
Result
Increase in qualified leads per month. First response time reduced from 48 hours to under 2 minutes. Sales team focused on closing, not initial prospecting.
Health
Key metric
−35%
no-shows
Caso 02/Private Clinic, Séeb Health
Private Clinic, Séeb Health
Applied solutions:SalesHubLattice Séeb Health
Problem
High no-show rate (patients not attending scheduled appointments) with no effective reminder protocol. Patients with over 90 days of inactivity without systematic reactivation. Underutilized schedule.
Solution
AI agent via WhatsApp with automatic reminders 48h and 2h before appointment. Automatic reactivation protocol for inactive patients 90+ days. Lattice Séeb Health as clinical knowledge base for contextualized responses.
Result
Reduction in no-shows. Reactivation of previously inactive patients. Higher schedule occupancy without increased administrative burden.
Logistics
Key metric
−40%
classification errors
Caso 03/Customs Brokerage Agency
Customs Brokerage Agency
Applied solutions:Lattice Séeb Logistics
Problem
Frequent errors in tariff classification due to high volume of customs entries and regulatory complexity. Slow manual reviews. Risk of fines and clearance delays due to document errors.
Solution
Automated document validation with Lattice Séeb Logistics. The agent verifies tariff code, required documents, and consistency between the customs declaration and commercial invoice before submission.
Result
Reduction in tariff classification errors. Faster clearances due to fewer corrections. Customs agents focused on complex cases.
E-Commerce
Key metric
+28%
repurchase rate
Caso 04/Fashion E-Commerce
Fashion E-Commerce
Applied solutions:SalesHub
Problem
Customer service team overwhelmed with repetitive queries. Low conversion rate on abandoned carts. No automatic repurchase strategy for existing customers.
Solution
AI agent automation for frequent queries, order status and returns. Intelligent remarketing flows for abandoned carts and repurchase. Automatic customer segmentation by behavior.
Result
Increase in repurchase rate from existing customers. Reduction in support tickets through automation. Improved conversion on abandoned carts.
Government
Key metric
−22%
fuel consumption
Caso 05/Municipal Waste Service
Municipal Waste Service
Applied solutions:LatticeNahui
Problem
Collection routes defined by historical criteria, not real-time generation data. Citizen complaints received through multiple channels without traceability or defined response times.
Solution
Nahui for dynamic route optimization based on high-generation zones, traffic, and available fleet. Lattice as an automated citizen service agent that receives, classifies, and tracks service reports.
Result
Fuel savings through route optimization. Citizen complaint response time reduced. Real-time visibility of fleet operational status.
Results shown combine data from pilot implementations, projections based on industry benchmarks, and demonstrated capability in controlled environments.
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