Chronoship: Temporal Logistics Optimizer

Chronoship is a niche logistics software designed for small to medium-sized businesses (SMBs) in time-sensitive industries, such as express delivery, event logistics, or perishable goods. Inspired by the non-linear narrative structure of 'Memento', Chronoship's core functionality revolves around 'temporal sequencing' – optimizing the order and timing of logistical operations.

Concept: Much like how Leonard Shelby in 'Memento' uses his system to piece together fragmented information to achieve his goal, Chronoship uses fragmented data points (weather forecasts, traffic conditions, historical delivery times, client demand patterns, even real-time fuel prices like an 'E-Commerce Pricing' scraper) to build a cohesive and optimized logistics timeline. The 'Nightfall' inspiration comes into play by focusing on scenarios where resources are scarce and every minute counts, thus maximizing efficiency under duress.

How it works:
1. Data Ingestion: The software continuously scrapes and ingests data from various sources: public APIs for weather, traffic, and fuel prices; internal client data for order history and delivery preferences; and potentially user-inputted real-time updates from delivery personnel.
2. Predictive Modeling: Using machine learning algorithms (easily implementable with libraries like Scikit-learn for individuals), Chronoship builds predictive models to forecast:
- Optimal departure/arrival times: Identifying windows that minimize delays.
- Route optimization: Accounting for predicted traffic and weather patterns.
- Resource allocation: Suggesting the most efficient use of vehicles and personnel.
- Contingency planning: Identifying potential bottlenecks and suggesting alternative actions, much like the memory recall mechanism in 'Memento'.
3. Temporal Sequencing Engine: This is the core of the software. It doesn't just find the shortest route, but the -fastest and most reliable sequence of deliveries- given all temporal constraints and predictions. It will prioritize urgent deliveries, group geographically close orders, and factor in driver break times.
4. User Interface: A clean, intuitive dashboard displaying the optimized schedule, real-time progress tracking, alerts for potential disruptions, and suggested alternative actions. This would be a web-based application, accessible from anywhere.

Niche & Low-Cost Implementation: The niche is SMBs with complex, time-sensitive delivery needs. Implementation can be low-cost by leveraging open-source libraries for data scraping (Beautiful Soup, Scrapy), machine learning (Scikit-learn, Pandas), and web development frameworks (Flask, Django for Python). Cloud hosting for such applications is also affordable for small-scale operations.

High Earning Potential: SMBs often struggle with inefficient logistics, leading to wasted time, fuel, and customer dissatisfaction. By offering a tangible solution that directly impacts their bottom line through cost savings and improved customer service, Chronoship can command a recurring subscription fee. The predictive and temporal optimization aspect offers a unique selling proposition compared to standard route planners.