Expert insights
A must-have resource for CTOs, CIOs and senior technology leaders who are considering building custom software
Decision framework and printable decision tree
A clear build vs. buy decision framework and a printable decision tree
Strategic fit checklist
A strategic fit checklist to validate when custom software makes sense
Timeline checkpoints
Practical timeline checkpoints to avoid hidden costs and schedule slip
Team model comparison
Team model comparisons (in-house vs. partner vs. hybrid) and hiring/engagement checklists
Vendor evaluation checklist
Security, compliance and integration deal-breakers to evaluate vendors fast
WHY NASHTECH
If you need a software development company to provide expert engineers and developers to support your in-house team, we can do that. But what makes NashTech different is that we are a partner who understands your business.
We challenge assumptions, translate complexity into clear decisions and connect technology to real outcomes. Whether you’re building new products or transforming existing systems, we help you move forward with total confidence.
You get honest advice, practical solutions, a team that cares and a partner that is completely invested in your success.
4.9★
Clutch rating
68
Client net promoter score
5
Global delivery centres
2K+
Engineering experts
26+ years
Engineering excellence
Insights
Supply chain and logistics organisations have spent several years responding to one disruption after another. What was once treated as exceptional has become part of the everyday operating environment: geopolitical tension, climate-related disruption, changing trade requirements, rising customer expectations and persistent pressure on costs and margins.
AI ambition is growing quickly in higher education, but skills gaps, governance questions, legacy systems and unclear ROI are making it harder to move from pilots to everyday use. Technology leaders need to focus on the foundations that make AI safe, useful and easier to scale across the institution.
Artificial intelligence promises huge opportunities for supply chain and logistics organisations, from demand forecasting and warehouse optimisation to route planning and customer service. Yet while investment continues to rise, many technology leaders are discovering that moving from AI pilot to production is far more difficult than launching a proof of concept. Our latest research found that 87% of supply chain and logistics organisations expect to increase their use of AI within the next two years, while 71% believe AI will have a high impact on their software development strategy. However, AI execution is becoming a problem. This article explores just some of the reasons AI initiatives stall in supply chain organisations and explains how technology leaders can build the foundations needed to move beyond experimentation and into measurable business value.
Are you moving fast, but your systems can't keep up? AI adoption is moving from experimentation to expectation. Consumer organisations are investing heavily in personalisation, intelligent customer experiences and real-time decision-making to stay competitive. However, many are discovering that scaling these capabilities is more difficult than launching them.
