How a Leading Agri-Inputs Company Improved Visibility and Placement with BeatRoute SFA Software

Sekilas tentang

Tantangan

To scale effectively in a competitive landscape, the company needed stronger market presence and better engagement across field and distribution channels. While facing pressure from established players, it also lacked visibility and tools to drive retail influence at scale.

Isu-isu Utama:

• Limited demand generation visibility across regions, making it hard to plan marketing and sales interventions
  
• Competitive pressure from established brands, reducing share of voice at the retailer level
  
• Lack of enablement for field teams to conduct Spot Demos, Field Days, and structured influencer engagement
  
• Retailers and distributors lacked digital tools for seamless order-taking or product education

The company partnered with BeatRoute to digitize field execution, empower stakeholders, and integrate systems for smarter, scalable distribution. The focus was on simplifying operations while enabling deeper engagement with farmers, influencers, and partners.

Apa yang berubah:

• Configured sales workflows via BeatRoute’s Sales App to drive structured execution in the field
  
• Enabled crop advisors to conduct Spot Demos and Field Days for localized product awareness and education
  
• Deployed a WhatsApp/PWA-based interface to give retailers and distributors a self-service experience for ordering and information access
  
• Integrated with SAP to ensure seamless data flow and visibility across systems

Hasil

The company saw measurable improvements in execution, engagement, and scalability across its retail and distribution ecosystem including: 

• Improved engagement with farmers, retailers, and influencers through localized events and digital tools
  
• Stronger product placement driven by more structured and data-informed field execution
  
• Enhanced field enablement, allowing sales reps and crop advisors to work with greater efficiency and purpose
  
• Digitized partner communication, leading to a scalable and replicable distribution model across regions